LowCode разработчик (Python, FastAPI)

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 TaxDome

At TaxDome, we’re building the #1 practice management platform for accounting firms in the US and globally. Founded in 2017, we’ve grown into a 400+ fully remote team across 40+ countries, serving tens of thousands of businesses worldwide with millions of end clients.

How we work

You’ll be part of a globally distributed team built on trust, ownership, and self-management.
We focus on outcomes over activity — prioritizing clear ownership, pragmatic decision-making, and accountability for results over rigid processes. Collaboration is central to how we operate: we communicate openly, involve the right people early, and continuously improve how we build products and teams together.

About this role

We're looking for a Senior AI Engineer to help us scale faster by designing and running production AI services - RAG-powered assistants, MCP servers, AI agents - and building smart automations for our teams. You'll choose the right tool for each problem, from Python services to low-code platforms like n8n, designing solutions that save time and boost efficiency.
This is a hands-on senior role: you'll own solutions end to end - from scoping a business problem and choosing the architecture, to building and integrating it, to shipping it securely and operating it. The role is as much about engineering judgment - deciding what to build, why, and with which trade-offs - as about building itself.
It's a fully remote role, we are hiring across the EU, with a preference for candidates working within CET (±3 hours).

What you’ll be responsible for

• Lead discussions on business challenges and propose solutions using LLMs, AI agents, custom services, or low-code tools - whichever fits best.
• Make and document architecture and tooling decisions: code vs low-code, build vs buy, model selection - with explicit cost, latency, security, and maintainability trade-offs.
• Design, build, and operate production Python services - including our retrieval-grounded assistant with RAG, database, auth, and CI.
• Build and tune RAG pipelines: embeddings, vector search, and retrieval quality evaluation.
• Design, build, and maintain MCP (Model Context Protocol) servers that connect internal tools, data sources, and APIs to LLMs and AI agents.
• Design, configure, and maintain AI agents for internal projects - including tool-calling, orchestration, and multi-step agentic workflows.
• Build and maintain automations in n8n.
• Design, test, and optimize prompts and multi-step prompt chains, including systematic evaluation (evals) of prompt and pipeline quality.
• Optimize cost and performance of AI workloads: caching, latency profiling, choosing the right model per task, token budgeting, basic load testing.
• Use AI coding agents as a primary implementation tool: decompose problems into well-specified tasks, review and validate generated code, and keep the bar on tests, security, and maintainability.
• Integrate external and internal services through REST APIs, webhooks, and OAuth flows.
• Build internal MVP tools on top of generative models to validate business hypotheses.
• Research, evaluate, and implement new automation and AI tools; run pilot projects with generative models.
• Maintain a structured prompt and workflow library, and document solutions for maintainability and handoff.
• Apply sound data-handling and security practices when working with internal systems, customer data, and credentials.
• Collaborate cross-functionally to understand needs and deliver impactful, reliable solutions.

Example project: building a feedback hub that collects and processes user feedback from multiple sources (CRM, surveys, forums, call recordings) into a single dashboard.

What you bring

Must-have

• 5+ years in IT overall, including 2+ years hands-on building applications, agents, and automations on top of LLMs - applying generative AI to real products and business tasks — and demonstrated seniority owning solutions end to end.
• Python - solid backend engineering: designing services, working with databases and APIs, writing tests, comfortable with Git, containers, and CI/CD. Not just scripting or extending existing automations.
• Hands-on experience with RAG and retrieval: embeddings, vector databases, tuning retrieval quality.
• Databases: SQL (Postgres) and key-value (Redis); familiarity with vector search (pgvector or similar).
• Experience building and operating AI agents and agentic workflows (tool-calling, orchestration); solid understanding of LLM principles, AI workflow design, and multi-step prompt chains.
• Demonstrated ability to justify technical decisions and reason about trade-offs (cost, latency, security, complexity) - not just implement what's asked.
• Experience with AI-assisted development workflows (Claude Code or similar); able to stay accountable for the quality of agent-generated code.
• Sound data-handling and security awareness (credentials, tokens, PII, access scopes).
• Self-driven, curious, and proactive in experimenting with new tools and technologies.
• English - Fluent: able to lead professional communication, handle correspondence, and participate fully in work meetings in English.

Nice-to-have

• Experience designing and building MCP servers (otherwise we expect a fast ramp on MCP).
• Experience with workflow automation platforms (n8n, Make, or similar).
• Experience integrating OpenAI, Anthropic, or other AI APIs.
• Experience integrating third-party services (Jira, Slack, Google, HubSpot, etc.) via REST APIs, webhooks, and OAuth flows.
• Experience with LLM observability and eval tooling (Langfuse, promptfoo, or similar).
• Experience running services on managed container PaaS platforms.
• Background in text/data processing.
• Experience with Google Workspace API, Slack API, CRM systems.
• Familiarity with data/security governance frameworks relevant to internal tooling.

What Success Looks Like

• First 90 days: ramp on our stack (n8n, Python services, Postgres/pgvector, Redis, our PaaS), ship one meaningful automation or AI tool into production, document it, and make at least one documented architecture decision (e.g., code vs low-code for a real task).
• First 6-12 months: own a portfolio of live automations, agents, and MCP integrations; establish reusable patterns and a well-maintained prompt/workflow library; measurably reduce manual effort across the teams you support and demonstrably optimize the cost/latency of at least one AI workload.

What we offer

At TaxDome, we aim to create an environment where people can do their best work and grow alongside the company.

• Competitive compensation, paid in USD, transparently shared before the first interview 
• Performance-based internal incentive plan
• Fully remote work with flexible hours
• 30 paid days off annually, plus sick days as needed
• Health & well-being support
• Learning & development budget to support your professional growth
• English lessons reimbursement
• Co-working space reimbursement
• Company-provided equipment (conditions may vary depending on the role)
• A high level of autonomy and ownership in your work
• The opportunity to make a real impact in a fast-growing global SaaS company
• A collaborative, international team with a strong product mindset

Upon successful completion of the interview process and acceptance of the offer to join, an employment verification check will be conducted as part of pre-boarding — confirming job titles and dates of engagement with 2 of your previous employers. This is a required step for all new joiners.
If you’re excited about this opportunity and believe you could make an impact at TaxDome, we’d love to hear from you!

By applying, you acknowledge that your personal data will be processed in accordance with TaxDome’s Privacy Notice.

About the role

Join Veeam as a C# Developer and help shape the backend of Veeam Backup for Hypervisors, enhancing data protection and driving business resilience.

In this role, you’ll help drive the next stage of growth by improving the platform’s architecture and component stability. A key focus will be reducing the time and effort required to onboard support for new hypervisors making integrations faster, safer, and more predictable.

You will collaborate closely with experienced engineers and contribute to continuously improving how we build and scale our product.

What You'll Do

• Develop business logic for products in virtualization field (RHV, Nutanix, Proxmox VE, etc.)  
• Develop new products and support existing functionalities 
• Participation and individual development of components and the whole architecture of the product

Technologies You'll Work With

C#, .Net 10, Windows/Linux (RedHat, Ubuntu), PostgreSQL, git, RestAPI, Multithreading, AI Tools

What You'll Bring

• At least 3 years of experience in commercial projects
• Good knowledge of the C# language  
• A deep understanding of .NET platform, data structures and algorithms 
• Possession of the principles of software design and development 
• English proficiency sufficient to communicate with international teams 

Bonus Skills

• Experience in development for virtual infrastructure (VMware vSphere, Microsoft Hyper-V)  
• Experience with QEMU/KVM  

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. A remote job is only possible in case the employee is located Poland.

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