Вакансии veeam: работа в IT и digital

About the Role

We're looking for a Senior C# Developer to help design and build robust, scalable backend solutions for collecting and managing large volumes of data. Join the team responsible for designing and evolving the components that integrate the various Veeam products into the company's BaaS offerings. The team drives the development of the following products: Veeam Data Command Center, Veeam Service Provider Console, and Veeam VDC Azure/Entra ID services.

What You'll Do

• Designing and implementing business logic for Veeam’s core product lines (Cloud, SaaS, backup & replication, and more)
• Developing new features and enhancing functionality across different product modules
• Taking ownership of major components and contributing to architectural decisions, both independently and within a team
• Analyze and establish business requirements in collaboration with the product management team
• Estimate the efforts required for feature implementation, including costs and capacity

What You'll Bring

• 5+ years of software development in commercial projects
• Proficiency in C# and a deep understanding of the .NET platform, data structures, and algorithms
• Experience with software architecture design
• Proactive, result-oriented mindset with strong problem-solving skills
• English proficiency for daily communication within international teams

Bonus Skills

• Experience with Azure or other public cloud platforms
• Experience developing SaaS or enterprise-grade environments

What You'll Get

• 26 paid days off annually, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental, maternity, and paternity leave
• Fully covered family medical plan, dental, rehab, and vaccinations
• Life, critical illness, and disability insurance
• Employer pension contribution via PPK
• Monthly Edenred allowance of 450 PLN for meals
• MultiSport card fully covered by Veeam, giving access to sports facilities nationwide
• Up to 12 free therapy sessions annually, plus legal and financial advice
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently present outside of Poland, Veeam reserves the right to refuse to consider the application for a job. Remote job is only possible in case the employee is located in Poland.

#LI-VE1

About the Role 

As a Senior Forward Deployed Engineer, you will be the technical owner for some of the most complex and strategic customer accounts. You will lead the technical approach, make clear decisions in ambiguous situations, and help customers get real value from the platform in complex enterprise environments. 

You will work across deployment, integration, automation, and solution design. You will also handle deep technical escalations and build reusable patterns, tools, and playbooks that help the wider Forward Deployed Engineering team move faster and deliver more consistently. 

This is a hands-on senior engineering role. You will work directly with customer executives, security and privacy leaders, business stakeholders, and technical teams. You will turn complex data, security, privacy, and AI needs into practical solutions that can scale. 

What You'll Do 

• Own technical delivery for the most complex customer accounts, from deployment through scaled, everyday use 

• Lead deployments across hybrid environments, including cloud, on-premises, Kubernetes, containers, Linux, and related infrastructure 

• Define solution architecture for customers with complex data estates, security needs, and business requirements 

• Adapt platform behavior when standard configuration does not fully match the customer’s data, workflows, or risk model 

• Build and operate integrations across customer systems, including identity, SIEM, ITSM, data platforms, APIs, and downstream tools 

• Diagnose and resolve deep technical issues across data, deployment, infrastructure, and integration layers 

• Build reusable agents, automations, tools, and playbooks that help the broader FDE team deliver faster and with higher quality 

• Turn manual customer outcomes into repeatable workflows for remediation, alerting, reporting, and operational follow-up 

• Lead architecture and design sessions with customer executives, security and privacy leaders, business teams, and engineers 

• Mentor other FDEs by reviewing solutions, sharing patterns, and helping unblock complex technical work 

• Partner with Sales Engineering, Product, and Engineering on strategic POCs, customer escalations, and product feedback from the field 

What You'll Bring 

• 8–12+ years of experience in deeply technical, customer-facing roles, such as forward-deployed engineering, solutions engineering, platform engineering, or technical consulting 

• Strong software engineering skills in at least one language, such as Python, Go, or TypeScript, with the ability to read unfamiliar code and understand complex systems quickly 

• Hands-on experience with Kubernetes, containers, Linux, and cloud platforms such as AWS, Azure, or Google Cloud 

• Experience deploying and operating solutions across complex cloud, hybrid, and on-premises enterprise environments 

• Strong understanding of APIs, system integration, SQL/NoSQL data stores, and structured or unstructured data 

• Experience building practical technical solutions, such as data pipelines, custom classifiers, integrations, automations, agents, or internal tools 

• Strong fluency with AI-native developer tools, agents, and automation, including creating reusable workflows that help others move faster 

• Strong customer presence, with the ability to build trust with executives, business leaders, and engineering teams 

• Working knowledge of data security, privacy, and regulatory topics across industries and geographies 

• High ownership, strong critical thinking, and the ability to bring structure to complex problems without a clear playbook 

Bonus Skills 

• Experience with DSPM, CSPM, DLP, data governance, privacy platforms, or related security domains 

• Experience building or heavily using AI agents, agentic coding assistants, MCP, or RAG systems 

• Familiarity with regulatory frameworks such as GDPR, SOC 2, or ISO 27001, especially across multiple geographies 

• Experience with enterprise data platforms such as Snowflake, Databricks, or BigQuery 

• Knowledge of access control, encryption, masking, or other data protection controls in enterprise data systems 

• Experience mentoring senior technical contributors or setting delivery standards in fast-paced, distributed teams 

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#LI-SK1

About the Role

We are looking for a Senior Platform Engineer to join the Workload team within the Veeam R&D Department. You will own critical observability infrastructure, drive incident response maturity, and help scale proactive support capabilities as operational accountability. 

What You’ll Do

• Design, build, and maintain observability pipelines using the Elastic Stack (Elasticsearch, Kibana, Fleet) across Azure and AWS workloads 
• Develop and own SLO/SLI dashboards and error budget reporting for BaaS platform services 
• Respond to and lead incident response for distributed, multi-tenant cloud workloads; own runbook creation, maintenance, and continuous improvement
• Build and refine proactive support tooling, including pattern analysis, tenant correlation dashboards, and baseline deviation alerting, to reduce reactive support burden 
• Manage and maintain Elastic Fleet agent policies, enrollment health, and log streaming pipelines across Azure and AWS worker fleets 
• Partner with SRE, R&D, and Proactive Support teams to close observability gaps, including tenant identification workflows and admin portal integrations 

Technologies we work with

• ⁠Elastic Stack — Elasticsearch, Kibana, Elastic Fleet, KQL, Query DSL
• Azure Kubernetes Service (AKS), Azure Container Apps, VMs
• Azure Security — Entra ID, Managed Identities (user/system assigned), App Registrations, Key Vault
• Infrastructure as Code — Azure Bicep, Terraform, or Pulumi
• CI/CD — Azure DevOps, GitHub Actions
• ITSM tooling — ServiceNow, Salesforce, Jira, Incident.io (for tenant and incident workflows) 

What You’ll Bring

• 8+ years of experience in cloud platform engineering, SRE, or infrastructure roles supporting commercial SaaS products
• Deep hands-on experience with Elastic Stack: Building dashboards, writing KQL/Query DSL, managing Fleet
• Proven experience operating and troubleshooting distributed, multi-tenant workloads on Azure and/or AWS
• Strong understanding of Azure cloud services: AKS, Entra ID, Key Vault, Service Bus, Cosmos DB, Private Endpoints, etc.
• Experience with incident response in production cloud environments, including runbook development and post-incident review
• Experience with IaC tools (Azure Bicep, Terraform) and CI/CD pipelines (Azure DevOps, GitHub Actions) 
• Strong scripting skills in Bash, Python, or PowerShell
• Ability to work cross-functionally with SRE, product, and customer-facing support teams 

Bonus Skills

• Familiarity with Veeam Data Platform products 

What You'll Get

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently present outside of India, Veeam reserves the right to refuse to consider the application for a job.

About the Role

As Product Marketing Director, you'll own product marketing for Veeam Intelligent ResOps, one of Veeam's newest and most visible offerings. Intelligent ResOps is the first offering that integrates data resilience with security as part of the Veeam DataAI Command Platform. 

You'll own positioning, messaging, launches, campaign strategy, and sales enablement for Intelligent ResOps, and you'll partner with pricing, competitive intelligence, partner, and VCSP teams to set the central strategy for those motions. You'll also be the person who knows how the business is performing, tracking the metrics that connect product marketing to pipeline, win rate, and revenue. 

This is a senior role with the opportunity to grow with the business, for someone who can set strategy, drive execution through influence, and hold their own in a room with product, sales, and executive leadership. 

What You’ll Do

• Own positioning and messaging: Set the positioning, messaging, and narrative for Veeam Intelligent ResOps, and connect it to the story that unites Veeam's data resilience, data security, and AI trust capabilities, including how Securiti AI's capabilities fit in 
• Lead launches: Own launch strategy and execution for Intelligent ResOps, driving readiness across product, sales, and marketing so every launch lands with impact 
• Set campaign strategy: Define the campaign strategy and core content that demand generation and field marketing teams run with, and use what you learn to sharpen the next wave 
• Drive sales enablement: Create the messaging, plays, and training that help sellers win, and build material that sales actually uses 
• Own the competitive narrative: Set the competitive strategy in a fast-moving, crowded category, partnering with competitive intelligence teams to turn insight into battle cards and objection handling 
• Shape the category: Build relationships with industry analysts to influence category definition and coverage of Veeam's positioning 
• Set pricing and packaging strategy: Partner with pricing and finance teams to set the central pricing and packaging strategy for Intelligent ResOps and evolve it as the business grows 
• Equip every route to market: Partner with alliance, channel, and VCSP marketing teams to set how Intelligent ResOps is positioned across every route to market 
• Bring the market insight: Feed voice of customer, win/loss insight, and market trends into product management to sharpen the roadmap 
• Track and report on business health: Monitor pipeline, win rate, and revenue, and use them to drive decisions like a business owner

What You’ll Bring

• 12+ years of experience in product marketing, preferably in enterprise software, cybersecurity, or data resilience 
• Proven track record setting go-to-market strategy for complex, technical products at scale 
• A business-owner mindset, comfortable being measured on pipeline, win rate, and revenue impact 
• Strong public speaking, written, and verbal communication skills, spanning executive and board-level presentations and industry analyst engagements; a proven track record is a must 
• Strong analytical skills, with a history of turning market and performance data into decisions 
• Strong leadership skills, with the ability to influence peers and senior leaders across product, sales, and executive teams

Bonus Skills

• Experience marketing data security, data protection, or backup and recovery solutions 
• Experience supporting go-to-market efforts following an acquisition or product integration 
• Public speaking or keynote experience at industry events or user conferences 
• Direct familiarity with the competitive landscape in data resilience and data security

#LI-SO2

About the Role

We are looking for a Software Development Engineer in Test (SDET) who views testing as an engineering problem waiting to be solved. In this role, you won't just be executing
tests; you will design, build, and maintain the automated testing frameworks, infrastructure, and tooling that allow our engineering teams to ship high-quality code at speed. You will sit at the intersection of development and QA, operating as a developer whose primary focus is software quality and reliability.

What You’ll Do

• A minimum of 8 years of work experience is required.
• Automation Framework Architecture: Design, build, and scale robust, maintainable test automation frameworks from scratch for web, mobile, and APIs.
• Code Quality & Testing: Write clean, high-quality automation code (e.g., using Java, Python, JavaScript, or TypeScript) and participate in developer code reviews.
• CI/CD Integration: Integrate automated test suites directly into deployment pipelines (Jenkins, GitHub Actions, GitLab CI) to achieve true continuous testing.
• Test Strategy & Execution: Analyse complex business requirements, identify edge cases, and design comprehensive test plans spanning functional, integration, regression, and performance testing.
• Tooling & Infrastructure: Build internal tools, mock services, and data generation utilities to unblock the development team and accelerate testing cycles.
• Collaboration: Partner closely with Product Managers and Software Engineers during early design phases to ensure features are inherently testable from day one.

What You’ll Bring

• Programming : Strong proficiency in at least one modern language (e.g., Java, Python, C#, or TypeScript).
• Automation Tools : Deep experience with tools like Selenium, Playwright, Cypress, Appium, or RestAssured.
• CI/CD & DevOps : Hands-on experience with Docker, gitversion control, and pipeline tools like GitHub Actions or Jenkins.
• Database & API : Proficiency in querying SQL/NoSQL databases and testing RESTful or GraphQL APIs.
• Mindset : Strong debugging skills, a knack for breaking things, and a "shift-left" testing philosophy.

Bonus Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Performance and load testing experience using tools like JMeter or K6.
• Background in Unit Testing frameworks (TestNG, JUnit, PyTest) and working alongside developers to improve unit test coverage.

What You’ll Get 

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

About the Role

We're looking for a Senior Database Developer to join the team working on Veeam ONE.

What You’ll Do

• Development and support of structure and database objects, writing queries, and stored procedures (MS SQL, PostgreSQL)
• Optimization of the existing database structure and code
• Modernization and creation of new reports, widgets and dashboards for Veeam ONE, VSPC, and other reporting products
• Reworking the current business logic in order to meet new business requirements
• Working closely with teams of analysts and QA
• Technical leadership and mentoring within the team

Technologies we work with:  

• MS SQL, PostgreSQL, pgTAP or analogs, TFS + Git, T-SQL

What You’ll Bring

• 5 years of working experience
• Experience with MS SQL (must-have) and PostgreSQL
• Solid understanding of relational database design, indexing, transactions, and query execution plans
• Proven experience writing complex queries, scripts, and stored procedures
• Ability to understand someone else's code
• Leadership and mentoring experience
• Responsibility, diligence, discipline, high efficiency, desire to develop, experience in teamwork

Bonus Skills

• Understanding of backend development (C#) sufficient to discuss technical solutions with backend teams, agree on how work is split between the database and application layers, and read code when needed.

What You’ll Get 

• 25 vacation days, 4 sick days, 21 paid medical leave days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Premium private medical insurance for employees and dependents
• Daily meal vouchers for restaurants and groceries (180 CZK per working day)
• Flexible cafeteria platform with thousands of lifestyle benefit options
• Multisport Card for gym and wellness, with family add-on options
• Annual public transport reimbursement up to a set limit
• Corporate mobile plan with optional family tariff
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently present outside of the Czech Republic, Veeam reserves the right to refuse to consider the application for a job. Remote job is only possible in case the employee is located in the Czech Republic.

#LI-VE1

About the Role

We are looking for a Junior Software developer in Test (JavaScript) to join the team that is responsible for Frontend development of Veeam products, such as Veeam Backup & Replication and Veeam One.
You will work closely with Developers and QA Engineers to ensure the quality and reliability of our frontend components. 

What You’ll Do

• Build and maintain robust CI/CD pipelines and internal automation tools

• Design and support scalable infrastructure systems (on-prem and cloud)

• Collaborate with development and QA teams to streamline delivery workflows

• Troubleshoot and resolve complex incidents within CI environments

What You’ll Bring

• Experience with JavaScript

• Hands-on experience with CI/CD systems (e.g., Jenkins, TeamCity, GitLab CI)

• Proficiency in automation, scripting, and infrastructure-as-code

• Analytical mindset and eagerness to tackle engineering challenges

• Good teamwork and communication skills

Bonus Skills

• Proficiency with Linux, Windows, and virtual machines

• Experience with Azure DevOps

What You’ll Get 

• 26 paid days off annually, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares

• Paid parental, maternity, and paternity leave

• Fully covered family medical plan, dental, rehab, and vaccinations

• Life, critical illness, and disability insurance

• Employer pension contribution via PPK

• Monthly Edenred allowance of 450 PLN for meals

• MultiSport card fully covered by Veeam, giving access to sports facilities nationwide

• Up to 12 free therapy sessions annually, plus legal and financial advice

• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning
  
  

Please note: If the applicant is permanently present outside of Poland, Veeam reserves the right to refuse to consider the application for a job. 

#LI-VE2

About Out Summer Internship Program 

Our Summer Internship Program is designed for students entering their final year of university who are eager to gain meaningful, real-world experience in a fast paced, collaborative, and professional environment. 

As a Summer Intern, you'll participate in a comprehensive onboarding experience led by our University Relations team to set you up for success from day one. Throughout the program, you'll also have the opportunity to participate in weekly professional development sessions, networking events, social activities, and other engaging experienced designed to support your personal and professional growth. 

The program takes place from June – August 2027 (10-week program).  

What We're Looking For

• Passion & Curiosity: Strong interest in machine learning research, experimentation, and understanding model behavior.
• Machine Learning Fundamentals: Strong foundation in supervised/unsupervised learning, optimization, regularization, model evaluation, and deep learning fundamentals.
• Model Training Experience: Hands-on experience training deep learning models in PyTorch or TensorFlow. Ability to diagnose poor convergence, overfitting, unstable training, gradient issues, data leakage, and weak generalization.
• Statistics & Experimentation: Strong understanding of probability, statistics, hypothesis testing, experimental analysis, and interpreting noisy results.
• Software Engineering Discipline: Ability to write clean, maintainable code with strong encapsulation, separation of concerns, modularity, and object-oriented design principles.
• Rapid Prototyping: Comfortable using Claude or similar AI tools for development, debugging, and rapid iteration.
• Research Mindset: Ability to independently investigate problems, design experiments, and analyze outcomes critically.

Nice To Have

• LLM Experience: Experience training, fine-tuning, or evaluating transformer models or LLMs.
• Modern ML Tooling: Familiarity with Weights & Biases, MLflow, distributed training, mixed precision, LoRA/QLoRA, or hyperparameteroptimization.
• Research Exposure: Experience reproducing papers, participating in ML competitions, contributing to research projects, or building advanced personal projects.
• Applied AI Domains: Exposure to NLP, generative AI, multimodal systems, retrieval systems, or recommendation systems.

What You Could Be Working On

• Model Training & Evaluation: Train and improve ML models across a variety of datasets and tasks.
• Training Diagnostics: Analyze loss curves, gradients, metrics, and experiments to diagnose model failures and improve performance.
• LLM & Generative AI Research: Work on transformer models, fine-tuning workflows, evaluation systems, and generative AI applications.
• Rapid Experimentation: Prototype and iterate quickly using Claude-assisted development workflows.
• Research Tooling: Build reusable experimentation, training, and evaluation workflows for ML research.

Candidates should have completed advanced coursework in areas such as:

• Machine Learning
• Deep Learning
• Probability & Statistics
• Linear Algebra
• Optimization
• Algorithms & Data Structures
• Artificial Intelligence
• Natural Language Processing
• Computer Vision
• Reinforcement Learning
• Software Engineering

Targeted Field of Study 

Currently pursuing a Master’s degree or PhD in: Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Mathematics, Data Science, Electrical Engineering, Or other closely related quantitative fields

Requirements:

• This role requires you to be in office 5 days a week at the San Jose, California location

Benefits

As a paid intern at Veeam, you’ll receive:

• Paid Company Holidays during your internship
• Tech Stipend to help set up your workspace
• 8 Hours of Paid Volunteer Time through our Veeam Cares Program
• Personal and Professional Development through our Internship Program

We’re committed to providing a supportive and rewarding internship experience. 

The pay range posted is an hourly rate of base pay. When making an offer of employment, Veeam will take into consideration the candidate’s expectations, experience, education, scope of responsibility for the role, and the current market demands.

United States of America Intern Pay Range

$40 - $50 USD

About the Role

You will own product for the Knowledge Graph and the reporting and analytics experience inside Veeam Data Command Platform (DSPM and AISPM). The graph is where the product's intelligence lives: what sensitive data exists, who can access it, how it moves, and whether the AI working on it can be governed. Actionable dashboards and reporting are how customers see that intelligence, prove their posture to auditors and executives, and decide — and act on — what to fix first. 

This is a builder's product role. You will translate a complex graph data model into queries, views, dashboards, and evidence that security, privacy, and governance teams use every day — and you will partner closely with the engineering leader who owns the graph platform and hyperscale lake integrations. 

You will set the roadmap, define the metrics that matter, and work AI-first — using agentic tools to prototype, analyze, and ship faster than a traditional PM team. 

What You’ll Do

• Own the product vision and roadmap for the Knowledge Graph as a customer-facing capability: the entities, relationships, and insights customers can explore, query, and trust. Partner with engineering on the underlying data modeling (sources, identities, access, classifications, lineage) and translate those decisions into concepts customers actually understand 
• Own the dashboard experience end to end: default landing views per persona (CISO, privacy, data governance, security operations), what earns a spot on them, and the path from a top-line number to underlying records in a few clicks. Every widget should answer "so what do I do now?", letting a user assign an owner, open a ticket, launch remediation, tighten a permission, or apply a policy without leaving the view 
• Own the widget framework and library (posture scores, top risks, sensitive-data heatmaps, access exposure, AI usage, trend lines) with consistent filtering, time ranges, and drill-through. Enable customization and role-based layouts so customers and internal teams can build, save, share, and default dashboards by role or business unit 
• Define the reporting layer: a report builder with saved/shared views, scheduling and subscriptions, and export in the formats enterprises use (PDF, CSV, API). Own audit and evidence packages that hold up for regulators and auditors, with clear scope, timestamps, and provenance back to the graph, and extend reporting coverage to backup and archive estates (Veeam Data Cloud workloads: Microsoft 365, Entra ID, Salesforce) so posture and evidence reflect historical data, not just production 
• Drive trending and posture-over-time reporting, including alerting and thresholds, so customers can show risk reduction rather than a single snapshot. Set the bar for data quality and freshness: how recent the numbers are, how coverage gaps are disclosed, and how the product avoids reporting false confidence 
• Enable downstream and agent consumption: BI integration, warehouse export, and APIs for customers who want the data in their own stack, plus partnering with the AI Agents team to expose graph queries, findings, and posture metrics as MCP tools and resources for customer and internal AI agents 
• Turn graph traversals into product surfaces: access paths, blast radius, data flow/lineage views, AI exposure, and risk prioritization. Partner with the Access Entitlements team on identity-to-data surfaces (multi-hop reachability through nested groups and shadow roles, least-privilege recommendations, entitlements for non-human identities). Own query and search UX for non-technical users, including natural-language and AI-assisted question answering over the graph, and define scale/performance requirements from the user's point of view (what must return in under a second, what can be async, where multi-hop queries must stay interactive at enterprise scale), holding the bar with engineering 
• Build the metrics and KPI framework the platform reports on, aligned with regulatory and framework mappings customers are measured against. Run discovery with enterprise CISOs, DPOs, and data governance leads and design partners, converting findings into a prioritized, defensible roadmap 
• Work AI-first, using agentic tools (Claude Code, Cursor, Copilot) and reusable Claude skills to prototype, query data, draft specs, and validate designs. Partner with design, engineering, PMM, and support to land releases: positioning, documentation, enablement, and adoption tracking

What You’ll Bring

• 10+ years in product management, including 4+ years leading product managers or owning a major platform area, with a track record shipping technical/platform products (data platforms, security or governance tooling, analytics, or developer-facing systems) 
• Strong data fluency: comfortable with data models, SQL, and graph concepts (nodes, edges, relationships, lineage), able to reason about queries and their cost, and able to partner credibly with senior engineers on architecture, performance, and scale trade-offs without needing to be the architect 
• Track record owning a reporting or analytics product area (dashboards, report builders, scheduling, exports) that non-technical enterprise users actually adopt, plus experience building composable, widget-based dashboards with user-configurable layouts that turn insights into in-product actions and workflows rather than read-only charts 
• Judgment about dashboard design: what belongs on a default view, how to make a metric drillable, and how to keep a dashboard useful as data volume grows, along with experience making reports credible at enterprise scale (accuracy, freshness, disclosed coverage gaps, performance on large datasets) 
• Experience with enterprise security, privacy, or data governance buyers (CISO, DPO, data governance, audit) and the evidence they need 
• Excellent written communication: crisp specs, clear positioning, and roadmaps that survive scrutiny 
• Hands-on use of AI-assisted tools in your own workflow, and a view on how AI should change the product itself

Bonus Skills

• Experience with graph databases in production (Neo4j, Amazon Neptune) or graph query languages (Cypher/openCypher, Gremlin, SPARQL) 
• Familiarity with data lakes/lakehouses (Delta Lake, Iceberg, Parquet) and cloud data platforms (Databricks and Unity Catalog, Azure Data Lake, AWS S3/Glue, BigQuery) 
• Background in DSPM, DLP, IAM/entitlements, or AI security posture management, and familiarity with regulatory frameworks and control mappings (GDPR, CCPA, HIPAA, NIST, ISO 27001, EU AI Act, NIST AI RMF, MITRE ATLAS, ISO/IEC 42001) 
• Experience with BI or embedded analytics platforms and report generation at scale, and/or building AI-assisted or natural-language query experiences over structured data

#LI-SO2

About the Role

We are seeking a Staff Software Development Engineer in Test (SDET) focused on Graph Database Architectures and High-Volume Reporting Engines. You will lead the quality strategy for verifying complex graph traversals, indexing algorithms, multi-tenant analytics, and real-time visualization systems built across AWS and Azure cloud platforms. 

What You’ll Do

• Build automated test suites to verify node/edge relationship integrity, sub-graph query optimizations, and path traversal correctness (e.g., Neo4j, AWS Neptune, GraphQL) under concurrent workloads 
• Validate end-to-end data fidelity, dynamic aggregation accuracy, latency SLAs, and schema evolution across high-volume reporting layers 
• Design automated benchmarking platforms that measure query execution plans, indexing performance, and memory consumption under multi-gigabyte payload conditions 
• Leverage Kubernetes on AWS (EKS) and Azure (AKS) to spin up isolated, multi-tenant database clusters loaded with synthetic graph datasets for automated regression runs 

What You’ll Bring

• 8+ years of experience in software development or test engineering using Java, Python, or Go 
• Expertise in graph technologies (Cypher, Gremlin, GraphQL, Neo4j, AWS Neptune) and complex relational/OLAP query validation 
• Strong cloud background across AWS and Azure data services, along with Kubernetes deployment orchestration 
• Experience verifying large-scale analytical databases and BI reporting backend engines

#LI-AA3

About the Role 

We’re looking for a Platform Engineer to join the Veeam Data Cloud team. The mission of the Platform Engineering team is to provide a secure, reliable, and easy to use platform to enable our teams to build, test, deploy, and monitor the VDC product.   

 This is an excellent opportunity for someone with cloud infrastructure and software development experience to build the world’s most successful, modern, data protection platform.   

What You'll Do  

• Write and maintain code to automate our public cloud infrastructure, and Internal Developer Platform  

• Document system design, configurations, processes, and decisions to support our async, distributed team culture 

• Collaborate with a team of engineers to build the VDC platform  

• Work with a modern technology stack based on containers, serverless infrastructure, public cloud services, and other cutting-edge technologies in the SaaS domain 

• On-call rotation for product operations 

Technologies You'll Work With    

Kubernetes, Azure AKS, AWS EKS, Helm, Docker, Terraform, Golang, Bash, Git, etc.  

What You'll Bring 

• 5+ years of experience in production operations for a SaaS (Software as a Service) or cloud service provider  

• Possessing development skills in a high-level programming language like Typescript or Python 

• Experience automating infrastructure through code using technologies such as Terraform  or Pulumi.  

• Experience with GitHub Actions  

• Experience working with Claude Code, Codex or similar 

• Experience with a breadth and depth of public cloud services  

• Experience building and supporting enterprise SaaS products  

• Understanding of the principles of operational excellence in a SaaS environment   

• Understanding and experience implementing secure design principles in the cloud  

• Demonstrated ability to learn new technologies quickly and implement those technologies in a pragmatic manner  

• A strong bias toward action and direct, frequent communication  

• A university degree in a technical field  

Bonus Skills  

• Experience with Azure  

About the Role

Veeam is looking for a Senior Director, Product Management to own product strategy, roadmap, and execution for our Data and AI Security portfolio, including Data Security and AI Security Posture Management (AISPM). This portfolio came into Veeam through the Securiti AI acquisition and is a strategic priority area as Veeam builds out data and AI trust capabilities. 

This person reports directly to the CEO and acts as the connective tissue between market opportunity, engineering execution, and executive strategy. They will set direction for the data security /AISPM product team, represent product strategy in executive-level conversations, and be accountable for translating strategy into a roadmap the broader org can rally behind. 

This is a high-visibility, high-autonomy role, looking for someone who can move fast and make sound calls independently. 

What You’ll Do

• Responsible for the Data and AI Security portfolio and adjacent data access governance capabilities 
• Lead and develop the product management team supporting this portfolio, setting clear goals and raising the bar on execution 
• Translate company strategy into a prioritized roadmap, balancing customer needs, technical feasibility, and business impact across a recently acquired product line 
• Represent product strategy directly to the CEO and executive team, with clear, data-driven narratives 
• Partner cross-functionally with Engineering, Design, Marketing, and Sales leadership to ensure alignment from concept to launch 
• Own pricing, packaging, and go-to-market input for the data and AI security product line 
• Bring a strong point of view on the data security posture management and AI governance competitive landscape, and use that to inform roadmap decisions

What You’ll Bring

• 12+ years in product management, with meaningful time leading product teams 
• Direct experience in data security, data access governance, cloud security posture management (CSPM/CIEM), or AI governance/security 
• Data loss prevention (DLP) experience 
• Track record owning product strategy for a security or data governance platform, ideally in a company that scaled or was acquired 
• Proven ability to operate with high autonomy and report directly to executive leadership, including comfort presenting to a CEO with minimal hand-holding 
• Strong analytical skills; comfortable making prioritization calls using data plus judgment when data is incomplete 
• Exceptional written and verbal communication; can distill complexity into a clear, executive-ready narrative 
• Demonstrated success driving cross-functional alignment across Engineering, Design, Sales, and Marketing 
• Bachelor's degree in computer science or equivalent practical experience

Bonus Skills

• Experience integrating an acquired product line into a larger platform 
• Experience with platform and integrations product management (RBAC, MFA, API-level access controls) 
• Mix of startup and enterprise experience

#LI-SO2

About the Role

Join us as an Application Security Engineer and help shape the security of Veeam products, enhancing data protection and driving business resilience.

What You’ll Do

• Conduct regular security assessments, vulnerability scanning, and penetration testing of Veeam products and services
• Work with development teams to integrate secure development practices into the software development lifecycle
• Collaborate on the design and implementation of security within Veeam products
• Threat modelling and design reviews for new and existing Veeam products
• Conducting manual source code security audits
• Using automated application-analysis tools

What You’ll Bring

• Ability to read source code on programming languages (such as C/C++/C#/JavaScript)
• A good understanding of the principles of secure software development
• A desire to develop in the field of application security
• A lively and flexible mind, clear logic, and analytical skills
• The desire and ability to work as part of a team
• English proficiency for daily communication within international teams

Bonus Skills

• Knowledge of scripting languages (Python, PowerShell, Bash, Ruby, etc.)
• Knowledge of modern cryptographic algorithms
• Experience with DAST and SAST tools
• Skills using OWASP ZAP, Burp Suite, Kali Linux tools
• Certifications such as OSCP, CEH, CSSLP, CCSP, AWS Certified Security, etc.
• Familiarity with cloud platforms (such as AWS/Azure/GCP)
• Experience playing CTF
• Experience with HackTheBox
• Experience with bug bounty hunting

What You’ll Get 

• 26 paid days off annually, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental, maternity, and paternity leave
• Fully covered family medical plan, dental, rehab, and vaccinations
• Life, critical illness, and disability insurance
• Employer pension contribution via PPK
• Monthly Edenred allowance of 450 PLN for meals
• MultiSport card fully covered by Veeam, giving access to sports facilities nationwide
• Up to 12 free therapy sessions annually, plus legal and financial advice
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently present outside of Poland, Veeam reserves the right to refuse to consider the application for a job. 

#LI-AR1

#Hybrid

About the Role

Veeam is seeking a Senior Professional Services Project Manager to lead the planning, governance, and successful delivery of Veeam product deployment projects and professional services engagements for our customers. Operating with a high degree of autonomy within defined frameworks, this role owns end-to-end delivery execution across onboarding, implementation, consulting, and technical advisory engagements, ensuring predictable outcomes, strong customer experience, and delivery quality.

This role owns project timelines, coordinates cross-functional and partner resources, and ensures projects are delivered on time, within scope, and to a high quality standard. In addition to deployment projects, the role manages customer infrastructure and Veeam product Health Check engagements, ensuring customers receive structured, well-governed assessments of their environments and clear, actionable outcomes. The Senior Professional Services Project Manager partners closely with Solution Architects, Technical Account Managers, Support, Sales, Customer Success, and partners to keep engagements on track, aligned to business goals, and to drive customer value realization and Professional Services growth.

What You’ll Do

Project & Program Delivery

• Manage the end-to-end lifecycle of Veeam product deployment projects and professional services engagements, including scoping, planning, execution, and closure.
• Own delivery of professional services engagements, including onboarding, implementation, consulting, and technical advisory.
• Manage multi-workstream engagements, building and maintaining project timelines, milestones, resource plans, and dependencies, proactively identifying and resolving schedule risks.
• Establish and enforce project governance, including status reporting, change control, RAID (Risks, Assumptions, Issues, Dependencies) logs, and steering committee cadence.
• Provide technical oversight across data protection, virtualization, and cloud environments throughout the engagement lifecycle.

Customer & Stakeholder Engagement

• Serve as the primary point of contact for customers throughout the engagement lifecycle, ensuring alignment on scope, timelines, deliverables, and success criteria.
• Build strong stakeholder relationships across customers, partners, and internal teams, driving alignment and accountability for delivery outcomes.
• Support rollout plans, enablement, and adoption activities to help customers realize value from their engagements.
• Identify and support follow-on opportunities in collaboration with Sales and Customer Success.
• Health Check & Infrastructure Assessment Management
• Plan and manage Customer Infrastructure and Veeam Product Health Check projects, coordinating technical resources and ensuring assessments are delivered on schedule.
• Track findings and recommendations from Health Check engagements through to customer sign-off and, where applicable, follow-on remediation or project scoping.

Cross-Functional Coordination

• Coordinate and manage partner resources engaged on deployment projects, ensuring alignment with project scope, quality standards, and delivery timelines.
• Coordinate across Technical Account Managers, Solution Architects, Support, Sales, and Customer Success to ensure smooth transitions between pre-sales, delivery, and post-deployment support.
• Support Veeam Cyber Secure (VCS) programs as required.
• Governance, Reporting & Continuous Improvement
• Manage project budgets, resource allocation, and utilization in coordination with Professional Services leadership.
• Identify and escalate project risks, scope changes, and resource conflicts to appropriate stakeholders in a timely manner.
• Maintain accurate project documentation, including project plans, status reports, meeting notes, closure documentation, and knowledge transfer materials.
• Contribute to and drive continuous improvement of delivery playbooks, methodologies, templates, and governance practices across the PS/CS organization.

Team Development

• Mentor junior team members and share best practices to support standardization of delivery processes across the team.

What You’ll Bring

• 3+ years of experience managing technology deployment, infrastructure, or professional services engagements, ideally within a software, backup/recovery, or data management vendor or partner organization.
• Demonstrated experience managing project timelines, budgets, and governance frameworks for external customer-facing engagements.
• Experience coordinating third-party, partner, and cross-functional resources (e.g., Technical Account Managers, Solution Architects, Support, Sales) as part of engagement delivery.
• Working technical knowledge of data protection, virtualization, and cloud environments sufficient to provide delivery oversight.
• Strong understanding of project management methodologies (e.g., Waterfall, Agile, or hybrid approaches).
• Excellent verbal and written communication skills, with the ability to manage stakeholders at varying levels of technical and business seniority.
• Strong organizational skills with the ability to manage multiple concurrent projects and competing priorities.
• Bachelor's degree in a relevant field, or equivalent practical experience.
• Business level of Japanese fluency

Bonus Skills

• PMP, PRINCE2, or equivalent project management certification.
• Working knowledge of Veeam products, or experience with backup, recovery, or data protection solutions.
• Experience managing infrastructure assessment or Health Check-style engagements.
• Experience working within a Professional Services or Customer Success organization at a technology vendor.
• Experience mentoring team members and contributing to delivery playbooks and methodologies.

What You’ll Get

• Paid annual leave plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Flexible Spending Allowance (FSA) for medical, dental, vision, wellness, fitness, and tech-related expenses
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

#LI-Hybrid #LI-EL1

About the Role

As a Software Developer in Test, you will join one of several high-impact teams of QA professionals. You will work on a variety of Veeam products and features, helping us shape the quality of solutions used by companies around the world. During the hiring process, we’ll match your interests and experience with the team and project where you can make the greatest impact.

What You'll Do

• Develop and maintain automated tests for Veeam products
• Collaborate across the software development team
• Enhance frameworks and modules for automated testing
• Contribute to test design and implementation
• Analyze product source code
• Support internal automated testing systems
• Build and manage testing infrastructure
• Analyze test results, and maintain defects database

Technologies You'll Work With

• Python, PowerShell, C# (.Net 6, .Net 8)
• GitLab, Azure Devops, TeamCity
• TestRail

What You'll Bring

• From at least 1 year of experience (junior level) up to 3+ years (middle/senior level) in commercial product testing, test automation, or software development; OR practical hands-on coding experience, without a need for testing expertise but with a strong interest in the testing domain (for junior candidates)
• Programming experience in Python
• Experience with Windows and/or Linux environments
• A strong desire to write high-quality code and develop your skills in programming
• An open mind, common sense, clear logical thinking, and a lively, analytical mindset - you enjoy analyzing and understanding how things work
• English proficiency for daily communication within international teams

Bonus Skills

• C#/.NET Framework and Test Automation: LINQ, NUnit, Selenium WebDriver, testing RESTful APIs using HttpClient
• Experience with PowerShell 
• Experience with Git
• Experience with Jenkins, TeamCity or Azure DevOps
• Cloud platforms experience (AWS, Azure, GCP)

What You’ll Get

• 25 vacation days, 4 sick days, 21 paid medical leave days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Premium private medical insurance for employees and dependents
• Daily meal vouchers for restaurants and groceries (180 CZK per working day)
• Flexible cafeteria platform with thousands of lifestyle benefit options
• Multisport Card for gym and wellness, with family add-on options
• Annual public transport reimbursement up to a set limit
• Corporate mobile plan with optional family tariff
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently present outside of the Czech Republic, Veeam reserves the right to refuse to consider the application for a job. 

#LI-AR1
#Hybrid

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning and making a real impact for some of the world’s biggest brands. 

About the Role 

Veeam is seeking a technically strong, customer-focused Strategic Partner Solutions Architect – Securiti.ai to accelerate Securiti.ai business through the established Veeam partner ecosystem. This individual will serve as the trusted technical advisor to Veeam partners, working closely with Veeam’s Channel Managers, Strategic Partner Specialists and Systems Engineers to design, demonstrate and validate Securiti.ai solutions for partners and their customers. This position adds deep technical expertise to the partner motion while preserving the Channel Manager’s ownership of the overall partner relationship. 

The Solutions Architect will bring hands-on expertise in Data Security, DSPM, AI Security, AI Governance, Privacy and GRC. Together with Veeam channel and partner teams, this individual will build partner technical capability, lead solution design and proofs of value, and help convert partner-led opportunities into measurable Securiti.ai pipeline and revenue. 

 Success requires technical depth, strong collaboration and the ability to translate complex data security and AI governance requirements into clear, deployable solutions. The ideal candidate is a credible pre-sales architect who excels in an overlay model — someone who strengthens existing Veeam partner relationships while contributing the architecture, demonstrations and enablement needed to build a successful Securiti.ai practice. This person can earn the confidence of partner engineers and customer security leaders alike and turn technical engagement into repeatable, partner-delivered outcomes. 

 What You’ll Do 

 Veeam Channel and Technical Alignment 

Operate as the technical overlay within the Veeam channel organization: 

• Partner with Veeam Channel Managers, Strategic Partner Specialists and Systems Engineers to support each assigned partner with a consistent technical engagement cadence. 

• Own the Securiti.ai technical strategy, solution architecture and pre-sales motion within each partner relationship, while the Veeam Channel Manager retains ownership of the overall relationship. 

• Jointly engage partner technical leaders with Veeam teams to align on priority use cases, solution roadmaps and technical investments. 

• Equip Veeam Systems Engineers and Channel Managers with the technical messaging, demo assets and training needed to introduce Securiti.ai into partner and customer conversations. 

• Set clear rules of engagement for technical support, opportunity handoffs and escalations so partners experience Veeam and Securiti.ai as one team. 

• Serve as the bridge between partners and Veeam and Securiti.ai product management, engineering, support and services teams, relaying field feedback and feature requirements. 

 Partner Technical Planning 

• Develop technical enablement and certification plans for assigned partners alongside their Veeam Channel Managers and Partner Specialists, setting goals for certified engineers, demo capability, proofs of value and delivery readiness. 

• Assess partner technical maturity, including security expertise, cloud and platform skills, services capacity and integration capabilities. 

• Incorporate Securiti.ai technical priorities into existing Veeam partner plans and quarterly business reviews. 

• Identify the lab, demo, training and technical resources each partner requires and review readiness on a regular cadence with Veeam and partner stakeholders. 

 Solution Architecture and Practice Enablement 

• Recruit, train and certify partner solution engineers, architects and services teams on Securiti.ai. 

• Lead the technical build-out of partner Data Security, DSPM and AI Governance practices, defining reference architectures, delivery methodologies, skills and certification paths. 

• Deliver technical training, workshops and hands-on labs that enable partner and Veeam teams to demonstrate and position Securiti.ai Data Security, DSPM, AI Security, AI Governance, Privacy and GRC capabilities. 

• Help partners design repeatable technical assessments, workshops, managed services and implementation offerings. 

• Architect joint solutions that integrate Securiti.ai with the partner’s own services and their existing Veeam portfolio, creating differentiated, repeatable solutions for their customers. 

• Create and maintain technical assets, including demo environments, reference architectures, solution briefs, discovery guides and competitive technical positioning. 

 Pre-Sales and Opportunity Support 

• Lead technical discovery, solution design, demonstrations and proofs of value with partners for priority customer opportunities. 

• Align Veeam, Securiti.ai and partner technical teams around priority customers, supporting opportunities from technical qualification through close. 

• Respond to technical requirements, RFPs and security questionnaires, and address architecture, integration and compliance questions from customer stakeholders. 

• Support a smooth transition from sale to implementation, ensuring partner delivery teams are prepared for successful deployment and adoption. 

 Measures of Success 

• Securiti.ai pipeline and revenue influenced through partner technical engagement. 

• Number of partner engineers trained and certified on Securiti.ai and partners able to independently demonstrate, sell and deliver solutions. 

• Technical win rate and conversion of proofs of value into closed business. 

• Number of joint solutions, reference architectures and partner-led assessments and services brought to market. 

• Customer deployment success, partner satisfaction and strength of alignment with Veeam channel and technical teams. 

What You’ll Bring 

•  7+ years of experience in pre-sales engineering, solutions architecture, sales engineering or technical consulting for enterprise technology. 
• Demonstrated success in a channel-facing, partner technical or overlay pre-sales role. 

• Proven ability to collaborate with existing account and relationship owners while leading the technical sale for a specialized solution portfolio. 

• Experience enabling and supporting technical teams at VARs, solution providers, MSPs, integrators, or advisory partners. 

• Strong ability to lead technical discovery, solution design, product demonstrations and proofs of value. 

• 5+ years of hands-on experience in cybersecurity, data security, data governance, privacy or AI security. 

• Working knowledge of cloud platforms (AWS, Azure, GCP), SaaS applications, data platforms and identity and access management. 

• Ability to translate technical capabilities into business outcomes, architectures and use cases that both sales and technical audiences can act on. 

• Ability to influence internal and external stakeholders without relying on direct authority. 

• Strong communication, presentation, whiteboarding and technical writing skills. 

• Ability to manage multiple partner and customer engagements while maintaining accountability for measurable results. 

• Willingness to travel for partner meetings, enablement sessions, customer engagements and industry events. 

 Bonus Skills 

• Hands-on experience with Securiti.ai or comparable DSPM, data discovery and classification, AI governance, privacy management, or GRC platforms. 

• Experience designing partner-led assessments, managed services, workshops, or professional services offerings. 

• Familiarity with privacy and AI regulations and frameworks such as GDPR, CCPA, HIPAA, the EU AI Act and NIST AI RMF. 

• Relevant security, privacy, or cloud certifications (for example CIPP, CISSP, CCSP, or an AWS, Azure or GCP architect or security credential). 

What You'll Get

Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking Business Development Representatives to drive growth in this innovative business. 

You will generate new demand and build qualified pipeline, working both self-generated outbound and inbound demand from marketing. You will run discovery conversations that produce genuinely qualified opportunities, and stay with them until they are established with a Sales Specialist. 

What You’ll Do

Generate demand 

• Work inbound and marketing-sourced leads — demo requests, event leads and campaign responses.
• Generate new demand through targeted outbound outreach: calls, emails, Apollo and LinkedIn Sales Navigator.
• Research prospects to uncover business context and pain points, using AI-enabled tools to prioritise the accounts most likely to convert. 

Qualify properly 

• Apply structured PACCT qualification frameworks to assess fit, readiness and urgency.
• Qualify for value as well as fit — understand budget, scope and the size of the problem before advancing an opportunity.
• Record meeting outcomes honestly. A meeting logged as moving forward is a commitment to convert it. 

Convert meetings into pipeline 

• Convert qualified meetings into pipeline opportunities.
• Own the handover to the Sales Specialist, ensuring actionable intelligence is documented in Salesforce.
• Stay engaged after handover — support early discovery, help secure the next meeting, and keep the opportunity moving. 

Partner with Sales Specialists and Marketing 

• Work with your Sales Specialists to agree target accounts and shape the outbound plan for your patch — know which accounts matter, and why, before you start.
• Build genuine partnership on live opportunities: brief thoroughly, agree the next step, and keep the specialist informed as the opportunity develops.
• Manage marketing-sourced leads to an agreed standard — follow up promptly, qualify consistently, and make sure nothing goes cold.
• Give marketing structured feedback on lead quality, events and campaigns. You see first-hand what converts and what does not, and that insight should shape where the next investment goes. 

Keep the record straight 

• Log every meeting outcome within 24 hours and link each opportunity to the meeting that originated it.
• Maintain accurate records of account activity and qualification in Salesforce — reporting and forecasting depend on it. 

Grow

• Stay current on industry trends and the competitive landscape, and seek feedback to keep improving

What You’ll Bring

• Minimum of 2 years experience as a Business Development Representative, Sales Development Representative, or in a related pipeline-generation role.
• A track record of converting meetings into qualified opportunities, not just booking them.
• Resilience and persistence — you treat objections as information and don’t take “no” as a final answer.
• Excellent written and verbal communication, with strong listening skills and the ability to adapt your style to what you hear.
• Genuine curiosity about buyers — you want to understand their world before engaging with your solution.
• A self-starter with strong organisational skills and the discipline to keep a CRM accurate under pressure.
• Confidence working alongside Sales Specialists and Marketing — agreeing priorities, giving honest feedback, and chasing or escalating when an opportunity stalls.
• Exposure to data security, AI governance, data privacy or compliance as a market.
• Experience using Salesforce and research tools.
• Previous experience in technology or SaaS.
• Comfort with AI-assisted productivity tools and experimenting with new technology.
• Knowledge of account-based marketing and sales strategies. 

What You’ll Get

Veeam offers benefits that support your whole self: 

• 25 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical, dental, and vision insurance with dependent enrolment
• Life insurance with enhanced coverage and global 24/7 protection
• Income protection after 26 weeks, covering a portion of salary
• Defined contribution pension plan with employer match
• Worldwide travel insurance for business and leisure, with option to enroll dependents
• Employee Assistance Program with therapy, legal, and financial support, plus online GP services and wellbeing programs
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If an applicant is permanently located outside of United Kingdom, Veeam reserves the right to decline the application for this position

About the Role

As a Principal Product Advisor within the Product Management Alliances team at Veeam, you will help set strategy for our product integration approach across hyperscaler platforms including AWS, Azure, and GCP.  Which integrations matter, why, and how they fit into a multi-year architectural vision. You will operate as a recognized technical authority both internally and with partner organizations, and you will raise the bar for the broader Product Advisor team through mentorship and example. 

What You’ll Do

• Cloud Integration Strategy: Help with multi-year architectural roadmap engagements across hyperscaler platforms (AWS, Azure, GCP), identifying and advocating for solutions that matter
• Partnership Representation: Represent Veeam's strategic perspective, shaping how the partnership evolves
• Facilitate cross-portfolio Alignment: Influence roadmap decisions across multiple product lines and engineering teams, helping resolve competing priorities using deep platform expertise
• Mentor and Raise the Bar: Actively develop other Product Advisors and Product Managers, strengthening technical and strategic capability across the team
• Navigate Ambiguity: Step into undefined problem spaces and provide well-reasoned recommendations with conviction, backed by deep experience
• Industry Engagement: Contribute to industry events and partner conversations by sharing deep technical expertise in cloud architecture and integration
• Advocate for Architectural Standards: Champion what strong architectural and integration decisions look like across the organization
• Technical Escalation: Serve as a senior escalation point for the most complex integration scenarios and critical customer engagements

What You’ll Bring

• 12+ years' in product management, technical alliances, or cloud architecture roles, with a track record of increasing scope and strategic ownership
• A strong, well-defended point of view on cloud integration strategy, backed by direct experience architecting solutions within hyperscaler environments (AWS, Azure, GCP)
• Demonstrated ability to lead strategy, not just influence it: setting direction, not just executing against someone else's plan
• A track record of mentoring and developing other technical or product talent
• In-depth knowledge of cloud-based data protection, storage technologies (including object storage), APIs, SaaS architectures, and AI-driven integrations
• Exceptional executive presence, with experience influencing VP- and C-level stakeholders internally and at partner organizations
• Experience delivering high-visibility technical presentations and serving as a trusted advisor at the industry level
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience
• Willingness to travel approximately 5 to 7 weeks per year

Bonus Skills

• 12+ years' experience in product management, technical alliances, or cloud architecture roles, with a track record of increasing scope and strategic ownership
• A strong, well-defended point of view on cloud integration strategy, backed by direct experience architecting solutions within hyperscaler environments (AWS, Azure, GCP)
• Demonstrated ability to lead strategy, influencing cloud integration direction
• A track record of mentoring and developing other technical or product talent
• In-depth knowledge of cloud-based data protection, storage technologies (including object storage), APIs, SaaS architectures, and AI-driven integrations
• Exceptional executive presence, with experience influencing VP- and C-level stakeholders internally and at partner organizations
• Experience delivering high-visibility technical presentations and serving as a trusted advisor at the industry level
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience
• Willingness to travel approximately 5 to 7 weeks per year

#LI-SO2

About the Role

We are seeking exceptional Senior Engineer- Hyperscale Analytics to design and scale next-generation data processing and analytics platforms that power OLTP, OLAP, and large-scale distributed data systems. You will build and optimize pipelines and services that handle billions of records daily, enabling real-time transactions, analytical insights, and AI-driven decisioning.

What You’ll Do

• Transactional & Analytical Systems: Design and implement highly scalable OLTP systems for real-time workloads and OLAP systems for complex analytical queries on massive datasets
• Distributed Processing: Build, optimize, and maintain large-scale batch and streaming pipelines using frameworks such as Apache Spark, Flink, Presto/Trino, or Kafka Streams
• System Performance & Scale: Optimize systems for low-latency queries, high-throughput ingestion, and interactive analytics, ensuring seamless performance as data volumes scale to petabytes
• Data Infrastructure: Develop and integrate with modern storage and processing systems (e.g., Snowflake, BigQuery, Redshift, Cassandra, HDFS, Delta Lake, Iceberg) to support hybrid analytical/transactional workloads
• Reliability & Observability: Ensure high availability, reliability, and monitoring across large compute and storage clusters with automated failover and recovery
• Collaboration: Partner with data scientists, ML engineers, and product teams to build unified, secure, and cost-efficient data platforms

What You’ll Bring

• 6+ years of professional software engineering experience, with a significant portion focused on data infrastructure, distributed systems, or large-scale analytics platforms
• Deep experience with distributed data processing frameworks (e.g., Spark, Flink, or similar)
• Strong background in cloud-scale data architecture (AWS, Azure, or GCP) — data lakes, warehouses, streaming platforms
• Proficiency in one or more of: Python, Java, Scala, or Go
• Experience with modern data warehouse/lakehouse technologies (e.g., Snowflake, Databricks, BigQuery, Redshift)
• Solid understanding of data modeling, ETL/ELT design, and pipeline orchestration (e.g., Airflow, dbt)
• Track record of designing for scale, reliability, and cost efficiency in production systems

Bonus Skills

• Experience with HTAP (Hybrid Transactional/Analytical Processing) systems or real-time analytics platforms
• Familiarity with data lakehouse architectures and formats like Parquet, ORC, Delta, Iceberg, Hudi
• Knowledge of containerized deployments (Docker, Kubernetes) and cloud-native data architectures (AWS Redshift, GCP BigQuery, Azure Synapse)
• Background in query engine development or contributing to open-source OLAP/OLTP frameworks

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

About the Role

Veeam is looking for a high-agency, hands-on Principal Product Manager to help define what data and AI trust looks like in the agentic era. AI is a generational discontinuity: autonomous agents now read, modify, and delete enterprise data at machine speed, and the AI factories behind them increasingly run as stateful, cloud-native workloads on Kubernetes — from AI pipelines and model artifacts to the vector databases powering RAG. The infrastructure to deploy AI exists; the infrastructure to trust it is still being built. As data resilience, data security, and AI governance converge on the Veeam DataAI Command Platform, we need a builder who can take ideas from 0 to 1 at that intersection. You’ll join a friendly, fast-moving team of builders who win together and move fast.

This is a senior individual contributor role — there are no direct reports, and your impact comes from what you build, ship, and influence, not from the size of an org chart. You’ll thrive here if you love building and are energized by ambiguity.

What You’ll Do

• Bridge data resilience, security, and AI. Connect the dots between data resilience, data security posture, and AI governance — identifying where they converge and defining products that keep customers resilient, secure, and AI-ready.

• Seize the agentic AI opportunity. Shape new use cases for protecting and securing AI workloads — especially in Kubernetes environments — from detecting risky agent activity to undoing AI mistakes with precise, clean, verified recovery.

• Roll up your sleeves with engineering. Work shoulder-to-shoulder with globally distributed development teams on use-case architecture and platform hardening — from authentication and logging to secrets management — and tease out the minimum viable product.

• Champion security and compliance as deal accelerators. Partner cross-functionally to triage security findings into fixable work and drive compliance (e.g., SOC 2, STIG, NIST, VPAT) that unblocks regulated and public-sector deals.

• Own the “why.” Articulate why we are building what we’re building, and bring engineers, customers, and leadership along once the merits are clear.

• Educate customers and the field. Partner with sales and lead customers to articulate and validate the value proposition, build compelling demos and proofs of concept, and evangelize at analyst and community events.

• Innovate in the eyes of the customer. Use what you learn from customers to lead the development roadmap iteratively — ship, learn, and refine in tight loops so every release reflects real-world needs.

• Take initiatives from 0 → 1. Turn ambiguous ideas into validated concepts, prototypes, and first releases — creating new products and capabilities where none existed before, then scaling what works.

• Measure what matters. Define and track success metrics for your product areas, and use them to inform what we build next.

• Strengthen the ecosystem. Enable tighter integration with alliance and ecosystem partners to deliver value to customers faster.

What You’ll Bring

• Expertise across data resilience and security. Hands-on understanding of data protection, backup and recovery, and security disciplines (e.g., ransomware resilience, threat detection, identity and access including OAuth 2.1/OIDC, data security posture, AI security and governance, software supply chain security) — and how they intersect in enterprise environments.

• AI and agentic fluency. A working understanding of how LLMs, RAG pipelines, and AI agents are built and deployed — and the new data, identity, and recovery risks they introduce.

• Cloud and infrastructure fluency. Comfortable setting up and operating your own environments across public cloud (AWS, Azure, GCP) and on-premises infrastructure, including secrets management (e.g., HashiCorp Vault).

• A genuine love for building and technology. A tinkerer at heart who tests, breaks, and learns by doing.

• Relevant background. Prior experience in product management and/or sales engineering; technical roles such as solutions architecture, security engineering, DevOps, or technical marketing engineering are a strong plus.

• First-principles problem solving. Ability to break complex problems into simple, shippable steps and a data-centric mindset that forms convictions through rigorous analysis.

• Influence without authority. Strong communication skills to engage engineers, enterprise customers, and senior leadership with clarity and credibility.

• High agency in fast-moving environments. A self-starter who navigates uncharted waters, manages multiple initiatives at once, and thrives in an agile, non-hierarchical setting rather than a waterfall one.

• A team-first approach. A can-do collaborator who wins as a team, builds alignment across the organization, and executes.

• A track record of 0 → 1 shipping. Proven experience taking new products and capabilities from concept to market success.

• Willingness to travel. Open to travel for customer meetings, partner activities, and conferences.

Bonus Skills

• Kubernetes and cloud-native knowledge. Familiarity with Kubernetes and the broader cloud-native ecosystem (e.g., Red Hat OpenShift) — especially for AI workloads — including participation in the CNCF / open-source community (e.g., Kanister).

• Hardening and supply chain tooling. Experience with image signing and verification (e.g., Sigstore), reducing third-party dependency and CVE exposure, and modernizing install, logging, and secrets workflows.
• Industry experience.Background in the data protection or cybersecurity industry, including exposure to storage, database, and security ecosystems and their APIs

We are looking for a Senior Staff Platform Engineer to lead the design and evolution of our global cloud infrastructure, with deep expertise in  Microsoft Azure. This role is ideal for a hands-on infrastructure expert with a track record of designing secure, scalable, and maintainable systems that support enterprise-grade SaaS platforms.

You’ll play a critical role in building and operating the foundation of our modern data protection platform, helping define the future of our cloud architecture, disaster recovery readiness, and internal developer experience.

In this Role, you will: 

• Design, build, and evolve cloud infrastructure using modern Infrastructure-as-Code tools (Terraform, Pulumi)
• Architect and manage core cloud services, including networking, identity/access control, account/subscription hierarchy, and resource governance
• Define and implement cloud-based disaster recovery strategies that meet enterprise RTO/RPO requirements
• Drive standards for high availability, security, scalability, and cost-efficiency across our cloud environments (Azure and/or AWS)
• Lead initiatives that improve developer experience, platform reliability, and operational excellence
• Build internal tooling and automation to simplify cloud adoption and resource provisioning for engineering teams
• Serve as a technical leader and mentor, guiding engineers across platform, SRE, and product teams
• Partner with security, compliance, and operations teams to enforce cloud architecture policies and guardrails
• Represent the platform team in architecture reviews, planning discussions, and cross-functional programs

Technologies you will work with: 

• Azure (e.g., VNETs, Azure AD, AKS, Private Link)
• AWS (e.g., VPC, IAM, EKS, PrivateLink, Organizations)
• Terraform, Pulumi, Kubernetes, Docker, Helm, GitHub Actions, Go, Bash, Python\

What we are looking for:

• 8+ years of experience in cloud infrastructure roles, with deep expertise in Azure 
• Experience designing and supporting production infrastructure for enterprise SaaS applications
• Proven experience defining and implementing disaster recovery and business continuity plans in the cloud
• Strong understanding of cloud networking, identity and access management, multi-account/subscription architecture, and policy enforcement
• Proficiency in Infrastructure-as-Code (Terraform or Pulumi) and CI/CD systems
• Skilled in scripting or programming (e.g., Bash, Python, or Go)
• Demonstrated ability to lead large-scale technical initiatives and drive adoption of best practices
• Experience mentoring engineers and influencing architecture beyond your immediate team
• Clear, direct communicator who thrives in a fast-paced, collaborative environment

Nice to have: 

• Experience working in multi-cloud environments
• Familiarity with internal developer platforms, service mesh, or API gateway patterns
• Knowledge of cloud compliance frameworks and security best practices

We offer:

• Unlimited PTO
• Paid Holidays
• Veeam Care Days: 24 hours paid time for volunteering 
• Medical, dental, and vision coverage starting on day one (multiple plan options) 
• Flexible Spending Accounts (FSA) and Health Savings Account (HSA) options 
• Employer HSA contributions (for HDHP participants) 
• Life and AD&D insurance (employee, spouse/partner, and child options) 
• Company-paid short-term and long-term disability insurance 
• Supplemental individual disability insurance (IDI) 
• Family planning support: fertility, adoption, surrogacy, and parental resources 
• Paid parental leave
• Employee Assistance Program  
• Additional voluntary benefits: accident, critical illness, hospital indemnity, legal, identity theft protection, commuter benefits, pet care 
• Mental health support  
• 401(k) plan
• Professional training and education, on-demand learning libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and Global Day of Learning 

Please note: If the applicant is permanently present outside of the United States, Veeam reserves the right to refuse to consider the application for a job. Remote work is only possible in case the employee is located in the United States.

The salary range posted is On Target Earnings (OTE), which is inclusive of base and variable pay. When making an offer of employment, Veeam will take into consideration the candidate’s expectations, experience, education, scope of responsibility for the role, and the current market demands.
OTE Range: $215,000 - $307,100 

#LI-Remote 

About the Role

We are seeking a Staff Software Development Engineer in Test (SDET) specializing in Data Connectors & High-Scale Ingestion. In this role, you will be the technical authority responsible for designing testing frameworks and benchmarking tools that validate multi-source data integration pipelines processing petabyte-scale throughput across AWS, Azure, and Kubernetes. 

What You’ll Do

• Design and execute scalable performance, backpressure, and stress-testing harnesses for ingestion connectors (REST, gRPC, CDC, Kafka, RabbitMQ)
• Build automation suites across AWS (S3, SQS, Kinesis, EKS) and Azure (Event Hubs, Blob, AKS) to test real-world connector data flows under degraded network conditions and extreme concurrency
• Implement automated fault-injection pipelines (simulating schema drift, network partitions, rate limits, and authentication failures) to guarantee zero-data-loss execution
• Utilize Kubernetes to dynamically orchestrate transient, high-concurrency test clusters and mock target endpoints at scale

What You’ll Bring

• 8+ years of software engineering/SDET experience in C++, Java, Go, or Python
• Deep experience in testing streaming architectures (Kafka, Event Hubs), queueing systems, and API protocols (gRPC, WebSockets, REST)
• Hands-on proficiency with AWS, Azure, and Kubernetes (Helm, custom controllers, or K8s operators)
• Proven track record building custom distributed load-generation tools (e.g., Locust, k6, custom Go/Java engines)
  
  

#LI-AA3

About the Role

As Product Marketing Director, you'll own product marketing for Veeam DataAI Privacy, part of the Veeam DataAI Command Platform. DataAI Privacy helps organizations automate their privacy obligations across global data and AI regulations, reducing the complexity of meeting privacy requirements through data context and automated controls. 

You'll own positioning, messaging, launches, campaign content, and sales enablement for DataAI Privacy in an established, fast-moving market where sharp differentiation wins. You'll be the hands-on expert who turns market, regulatory, and competitive insight into the stories, content, and enablement that move pipeline and win rate. 

This is a senior role with the opportunity to grow with the business, for someone who leads with craft and can hold their own with product, sales, and executive leadership. Above all, you're passionate about protecting the privacy of people's data while helping companies reduce the complexity of meeting privacy requirements. 

What You’ll Do

• Own positioning and messaging: Set the positioning, messaging, and narrative for Veeam DataAI Privacy, aligned to the portfolio story that unites Veeam's data resilience, data security, and AI trust capabilities 
• Win on differentiation: Own competitive positioning in a crowded market, sharpening win themes, objection handling, and battle cards with competitive intelligence teams, and turning win/loss insight into messaging that lands 
• Turn regulation into advantage: Translate evolving global privacy and AI regulations into messaging, content, and enablement that help customers act and sellers win 
• Lead launches: Lead DataAI Privacy launches end to end, from planning through execution, driving readiness across product, sales, and marketing so every launch lands with impact 
• Fuel campaigns: Build the messaging, content, and assets that demand generation and field marketing campaigns run on, and use what you learn to sharpen the next wave 
• Drive sales enablement: Create the messaging, plays, training, and partner-ready content that help sellers win, and build material that sales actually uses 
• Be the expert voice: Be the speaker and public face for DataAI Privacy, representing Veeam at industry events, webinars, and customer conversations, and own the messaging, content, and presentations from build to delivery 
• Support analyst engagement: Contribute to industry analyst briefings and build the materials that showcase Veeam's positioning 
• Bring the market insight: Feed voice of customer, win/loss insight, and market trends into product management, and bring market input into pricing and packaging decisions 
• Measure what works: Track how your programs move pipeline and win rate, and use the data to double down on what's working

What You’ll Bring

• 10+ years of experience in product marketing, preferably in enterprise software, cybersecurity, or data privacy 
• Strong familiarity with the data privacy and compliance landscape: products, competitors, and global privacy and AI regulations 
• Deep positioning, messaging, and content craft, from executive narratives to launch content to sales enablement, with a track record of differentiating products in competitive markets 
• Strong public speaking, written, and verbal communication skills, spanning industry events, executive presentations, and analyst engagements; a proven track record is a must 
• Strong analytical skills, with a history of turning market and performance data into decisions 
• Strong influencing skills, with the ability to align peers and senior leaders across product, sales, and marketing

#LI-SO2

About the Role

You will be working as a part of a distributed agile team, building a new SaaS platform that underpins a suite of enterprise applications solving a variety of hard data analytics and enterprise problems. You will be responsible for ensuring that the framework and products we develop meet the established design, implementation, and quality goals.  

What You’ll Do

• Be a part of a globally distributed team of backend engineers to design/develop/architect Securiti’s core backend platform
• Help create architecture documents, functional specifications, design documents, and developer test plans
• Coordinate end-to-end development, deployment, and testing of new features and enhancements in the product
• Write reliable, secure, performant, and scalable code
• Perform code reviews and analysis
• Monitor platform performance and be on-call to address any urgent issues
• Work with customer support and address customer issues
• Integrate new technologies into back-end cloud infrastructure

What You’ll Bring

• Minimum 7 years of experience developing software, with some experience using container technologies like Docker
• Experience in building highly available and scalable distributed systems for the cloud
• Strong conceptual understanding of multi-threaded applications
• Professional development experience in GoLang, Java, C++, or Python
• Good knowledge of Linux and bash scripting 
• Good software development practices: should thrive in an environment of rapid development, peer code reviews, and write good functional/unit tests
• Experience with microservices and REST-based HTTP/2 architectures
• Experience with SQL (Postgres) and NoSQL (Mongo/Elasticsearch) technologies 
• Knowledge and use of performance tuning, profiling, and software metrics tools
• Very strong diagnostic and troubleshooting skills
• Proven ability to utilize creative thinking to solve complex engineering problems
• Understanding of continuous integration tools, including Jenkins
• Experience with agile development methodologies is a must
• Outstanding verbal, written, and interpersonal communication skills
• High level of energy, teamwork, can-do attitude, and willingness to learn new technologies
• Working knowledge of networks and web concepts

Bonus Skills

• Experience with cloud platforms such as AWS, GCP, and Azure
• Experience with Containerisation technologies (Kubernetes, Docker) 
• Experience with tools like terraform, helm, docker
• Understanding of Network Services such as Load-Balancers, Security, QoS 
• Understanding of platform level concerns, such as configuration management, network request routing, blue/green or canary deployments, in-service software upgrade 
• Experience in building API based connectors to cloud-based SaaS services is a big plus

What You’ll Get 

• Competitive compensation package
• Comprehensive health and wellness benefits
• Professional development opportunities

About the role

We are looking for a Senior Software Engineer to build and own the internal products that Kasten engineering teams use every day to develop, test, and release Veeam Kasten. You will design and write production-quality software for our engineering platform. This includes test frameworks, CI/CD pipelines, tools that provision clusters, and tools for performance testing. We also develop and support quality products for internal company needs, such as our merge queue service and CI dashboard.

We apply the best product development practices to all our internal products, and we treat them as production-grade software. Each product has real users, a roadmap, code review, automated tests, CI/CD, documentation, and support.

We want a strong software engineer with solid testing fundamentals. You will work with engineers in EMEA and, when needed, the US.

What you’ll do

• Design, build, and maintain internal products, platforms, and frameworks that teams use to develop and test Veeam Kasten.
• Develop and support quality products for internal company needs, such as our merge queue service and CI dashboard.
• Own the shared test frameworks and libraries that product teams use for integration and end-to-end tests. Make them better structured, more reliable, and faster.
• Build and run tools for performance and scale testing. Analyze the results and find regressions.
• Develop large-scale CI/CD pipelines and the infrastructure behind them: Kubernetes, public cloud, on-premises, and Infrastructure as Code.
• Build tools that automate daily engineering work, including AI-assisted tools.
• Support internal users. Triage failures across product, test, and infrastructure layers, and drive each fix to its root cause.
• Review code, write design documents, and mentor other engineers.

Technologies you’ll work with 

Go, Bash, Python, TypeScript, Vue, Kubernetes, Helm, Docker, Git, Terraform, OpenShift, Rancher, Google GKE, AWS EKS, Azure AKS, VMware TKG. 

What you’ll bring

• 10+ years of professional software engineering experience.
• A strong software engineering background. You design, write, test, and ship maintainable code in at least one high-level language, such as Go, Python, Java, or C#.
• Experience building and supporting internal products, in-house platforms, developer tools, or frameworks that other engineers use.
• Solid testing fundamentals:
• test design and test structure
• test levels (unit, integration, end-to-end)
• what to automate, how, and when
• how to keep tests reliable and maintainable
• Hands-on experience with Kubernetes, containers, and Helm.
• Experience with CI/CD systems at scale.
• Comfort with Linux and shell scripting.
• Strong ownership and the ability to work independently.
• Clear written and spoken English.

Bonus skills

• Test automation experience, including building or extending automation frameworks (for example, Playwright).
• Experience with performance, load, or scale testing: designing workloads, collecting metrics, and analyzing results.
• Experience developing in Go.
• Experience with more than one public cloud (AWS, Azure, GCP).
• Experience with multiple Kubernetes vendors (hyperscalers, Red Hat OpenShift, etc.).
• Infrastructure as Code (Terraform).
• Experience using AI tools in engineering or testing workflows.
• Knowledge of storage, backup, or data protection.

What you’ll get

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
  Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application.

#LI-KP1
#Hybrid

About the Role

Securiti, now part of Veeam, builds the Data Command Center for data security, privacy, governance, and AI security. We are looking for a Staff Security Engineer to provide hands-on technical leadership across product and application security. You will shape secure architecture, strengthen the SDLC, lead vulnerability response, and help engineering teams ship secure cloud and AI capabilities at scale.

This is a senior individual-contributor role for someone who can move comfortably from threat models and pull requests to exploit validation, cloud security, software supply chain risk, and customer or auditor discussions.

What You’ll Do

Product & application security

• Own and evolve the secure SDLC across the Securiti portfolio, including threat modeling, design reviews, secure code review, and security testing.
• Provide security leadership for AI capabilities, including LLM-powered features, agents, copilots, prompt injection, retrieval leakage, permissions, and model supply chain risks.
• Tune and improve SAST, dependency, secrets, container, infrastructure, and SBOM controls so findings are actionable and integrated into engineering workflows.
• Lead product vulnerability response from reproduction and severity assessment through remediation, coordinated disclosure, CVE handling, and customer advisories.
• Perform targeted penetration testing and security research across applications, APIs, agents, connectors, and cloud services; scope and validate third-party testing.
• Strengthen software supply chain security through SBOMs, signed and reproducible builds, dependency governance, and secure release practices.
• Build reusable security libraries, reference implementations, hardening guidance, and developer enablement; help scale security through a Security Champions program.
• Track and communicate meaningful security metrics, including remediation time, critical/high findings, scan coverage, and engineering adoption.

Product compliance & assurance

• Partner with engineering on technical controls and evidence supporting SOC 2 Type II, ISO 27001/27701, ISO/IEC 42001, HIPAA, PCI, and FedRAMP Moderate readiness.
• Translate applicable requirements such as GDPR, CCPA, the EU AI Act, DORA, and NIS2 into practical engineering requirements and release criteria.
• Validate remediation of audit and penetration-test findings and escalate material risks when needed.
• Serve as a technical security partner for customer due diligence, audits, security questionnaires, AI-risk reviews, and executive briefings.

Technical leadership

• Work across Engineering, Product, Platform, SRE, and Veeam Corporate Security to make security risk visible in architecture and roadmap decisions.
• Influence engineering standards and security strategy without relying on direct authority.
• Represent Securiti in technical discussions with customers, auditors, standards bodies, and the security research community.

What You’ll Bring

• 8+ years in security, with substantial experience in application or product security for SaaS or cloud-native platforms.
• Strong coding and code-review skills in one or more languages such as Go, Python, Java, or TypeScript, with the ability to validate vulnerabilities and build security tooling.
• Deep knowledge of multi-tenant cloud security across AWS, Azure, or GCP, including IAM, Kubernetes, secrets, tenant isolation, and protection of sensitive customer data.
• Hands-on experience securing LLM-powered applications, including prompt injection, retrieval leakage, agent authorization, and model supply chain risks.
• Demonstrated experience building or materially improving a secure SDLC across multiple engineering teams.
• Experience leading vulnerability response or coordinated disclosure, including severity assessment, CVE processes, remediation, and customer communications.
• Practical knowledge of software supply chain security, including SBOM, signing, SLSA, and SSDF concepts.
• Working experience with security assurance frameworks such as SOC 2, ISO 27001, or FedRAMP.
• Strong communication skills and the ability to explain technical risk clearly to engineers, executives, auditors, and customers.
• A computer science or engineering degree, or equivalent practical experience.

Bonus Skills

• Experience with DSPM, privacy engineering, data governance, CASB, DLP, or other platforms handling highly sensitive customer data.
• Experience supporting FedRAMP Moderate or ISO/IEC 42001 for a SaaS platform.
• Familiarity with OWASP guidance for LLM applications, NIST AI RMF, and privacy-by-design principles.
• Relevant certifications such as CISSP, CSSLP, OSCP/OSWE, CCSP, or GIAC.
• Published security research, CVE credits, conference presentations, or open-source security tooling.
• Experience collaborating across US and Asian time zones.