DevOps инженер (Apache Flink) (React, Java)

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 around 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

As the product and infrastructure grow, we are looking for a talented and experienced Senior DevOps Engineer who is comfortable working remotely, demonstrates strong self-organization, and is actively engaged in team collaboration.

It’s a fully remote role, we are hiring across European timezones.

Our tech stack:

• Ruby on Rails, React.js
• PostgreSQL
• AWS (VPC, IAM, EKS, RDS, OpenSearch, CloudWatch, ElastiCache, CloudFront, AWS Secrets Manager)
• Kubernetes
• GitLab CI, Helm
• Autoscaling & Capacity Management: Kubernetes Autoscaler, Karpenter
• Cloudflare (CDN, DNS, WAF, security and traffic management)
• Monitoring & Observability: Prometheus Stack, VictoriaMetrics, Datadog, AWS CloudWatch
• Unix/Linux

What you’ll be responsible for

• Design, build, and operate reliable production infrastructure for a high-load SaaS product;
• Own the full lifecycle of environments: development, staging, and production;
• Develop and evolve Kubernetes-based platform (EKS), including networking, security, scaling, and capacity management;
• Implement and maintain Infrastructure as Code using Terraform as a single source of truth;
• Build, maintain, and improve CI/CD pipelines using GitLab CI and Helm;
• Participate in system architecture design, propose and implement infrastructure and platform improvements;
• Ensure high availability, performance, and fault tolerance of services;
• Implement and evolve observability: metrics, logs, traces, alerting, and SLO-driven monitoring;
• Actively participate in production operations: incident response, root-cause analysis, postmortems, and preventive actions;
• Work closely with development teams, providing DevOps expertise during design, debugging, and delivery phases;
• Drive DevOps best practices across teams: automation, standardization, security, and operational excellence.

Examples of interesting tasks 

• Disaster Recovery — building a ready-to-go recovery process for every service, plus HA failover between availability zones across all services
• Multi-Region Disaster Recovery
• Growing our service infrastructure and CI/CD — the company ran on a monolith for a long time; we're now moving to a hybrid architecture
• Service Mesh
• Switching incident-management platforms and building the processes around it
• Moving to KEDA as a single autoscaling layer based on custom metrics
• Migrating remaining infrastructure workloads to ARM

What you bring

Must-have

• 6+ years of experience in a DevOps / SRE role;
• Strong hands-on experience managing production infrastructure in AWS;
• Confident knowledge of Kubernetes (cluster deployment, configuration, administration);
• Experience building and maintaining CI/CD pipelines for product teams
• Solid experience with Infrastructure as Code approaches (Terraform);
• Experience designing and operating autoscaling and capacity management solutions;
• Ability to set up and operate monitoring, logging, and alerting systems;
• Experience with infrastructure and application security, access control, secrets management, and security best practices;
• Cloud cost optimization and capacity planning (FinOps mindset);
• Proactive ownership of infrastructure evolution and technical improvements beyond assigned tasks;
• Strong troubleshooting skills and a high level of ownership.

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, shared on Recruiter screen
• Performance-based 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 

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 

 

#LI-VG1
#LI-SK1

 

About the Role

Securiti's platform processes billions of data events per day across hundreds of enterprise clouds. As a DevSecOps Engineer, you will build and maintain the invisible infrastructure that makes this scale possible—ensuring developers can ship features daily while maintaining fortress-level security.

You will be responsible for designing self-healing deployment pipelines that turn infrastructure into code, security into automation, and complexity into reliability. Your work ensures that when a customer onboards petabytes of data, our platform scales transparently—without manual intervention.

Responsibilities

• Security-First Infrastructure: Architect and implement infrastructure-as-code using Terraform and CloudFormation, ensuring every deployment follows zero-trust principles and least-privilege access models.

• Kubernetes at Scale: Design and optimize our Kubernetes clusters to handle massive workloads, implementing intelligent autoscaling, pod security policies, and network segmentation that protects sensitive customer data.

• Zero-Downtime Deployments: Build sophisticated CI/CD pipelines using ArgoCD, Spinnaker, and GitOps patterns that enable blue/green and canary deployments—allowing us to ship multiple times per day with zero customer impact.

• Observability Engineering: Implement comprehensive monitoring and alerting using Prometheus, Grafana, and ELK, creating dashboards that surface anomalies before they become incidents.

• Multi-Cloud Orchestration: Manage infrastructure across AWS, Azure, and GCP, building abstraction layers that allow our platform to run anywhere while maintaining consistent security postures.

• Performance Under Fire: Be on-call to diagnose and resolve production issues in real-time, using your deep systems knowledge to troubleshoot complex distributed systems problems across the stack.

• Automation-First Mindset: Write Python and Go tooling that automates repetitive operational tasks, turning hours of manual work into seconds of automated execution.

Requirements

• Experience: 5+ years of software development with deep operational experience in cloud-native environments (AWS, Azure, GCP).

•  Infrastructure as Code Mastery: Expert-level proficiency with Terraform or AWS CloudFormation, with a portfolio of reusable modules and patterns.

• Container Orchestration: Production experience running Kubernetes at scale, including deep knowledge of networking, security contexts, and stateful workloads.

• CI/CD Architecture: Hands-on experience designing GitOps-based deployment pipelines using tools like ArgoCD, Spinnaker, Jenkins, or GitHub Actions.

• Development Skills: Professional coding ability in Python or Golang—you're not just configuring tools, you're building them.

• Database Operations: Working knowledge of SQL (Postgres), NoSQL (MongoDB/Elasticsearch), and Graph databases (Neo4j, Neptune) for operational troubleshooting and performance tuning.

• Linux & Networking Fundamentals: Deep understanding of Linux systems administration, bash scripting, network routing, load balancing, and service mesh architectures.

• Monitoring & Observability: Experience implementing full-stack observability with metrics, logs, and traces using Prometheus, Grafana, ELK, or similar tooling.

Bonus Points

• Security Certifications: AWS Security Specialty, CKS (Certified Kubernetes Security Specialist), or equivalent security-focused credentials.

• Service Mesh Experience: Hands-on work with Istio, Linkerd, or Consul for advanced traffic management and zero-trust networking.

• Chaos Engineering: Experience with fault injection frameworks (Chaos Monkey, Litmus) to build resilient systems.

• GitOps Evangelism: You've championed GitOps practices and trained teams on declarative infrastructure patterns.

• Cost Optimization: Track record of reducing cloud spend through intelligent resource management and architectural improvements.