DevOps Engineer

• Contributing to the design and implementation of highly available, scalable, and high-performance solutions
• Designing and developing DevOps tools to ensure seamless software delivery
• Creating and implementing procedures to automate operational tasks, moving towards a zero-touch operations model
• Developing processes and tools to monitor, analyze, maintain, and improve distributed systems

• Work with teams to define SLIs and SLOs.
• Create systems for observability.
• Analyze failure scenarios and possible mitigations.
• Create runbooks to remediate or prevent failure scenarios.
• Reduce work that does not add value.
• Participate and facilitate incident management, including on-call duty.

Senior Site Reliability Engineer

• Own one of our core platform areas end-to-end: observability (VictoriaMetrics, Grafana, Graylog / VictoriaLogs, fluent bit, exporters, alerting) or CI/CD (Jenkins scripted pipelines, Harbor, Nexus, build agents) — you drive its architecture, reliability, and roadmap.
• Drive technical initiatives end-to-end: gather requirements, write the design doc, decompose into tasks, implement, deliver to production, and own the operational health afterwards.
• Drive clarity in ambiguous situations by defining requirements, assumptions, and next steps.
• Design for reliability and scale: evolve the architecture of our platforms — topology, integration points, scaling approach, and reliability model.
• Support developers: deploy and monitor applications on both on-premise servers and Kubernetes (Helm), troubleshoot builds and deploys, help teams with metrics, alerts, and logs; participate in chat duty in developer support channels.
• Automate away toil: repetitive operations, provisioning, and maintenance should be codified, not performed by hand.
• Investigate production incidents as the senior escalation point for your area: drive resolution, lead post-mortems, implement systemic fixes. Participate in on-call rotations and raise the bar for how on-call works.
• Mentor less experienced engineers through design discussions, reviews, and pairing; catch debt-inducing shortcuts at the review stage.
• Use AI in all aspects of day-to-day work: researching, troubleshooting, developing.

Senior DevOps Engineer

• Design, build, and maintain the Patchman backend infrastructure
• Develop and maintain new product features, from design through implementation and testing
• Investigate and resolve complex issues reported by customers, digging deep into the codebase to identify root causes
• Operate and maintain a large fleet of dedicated servers, including API gateways, load balancers, and internal processing nodes
• Implement and improve CI/CD pipelines for efficient, automated delivery
• Write and maintain comprehensive unit/integration tests to ensure code quality
• Monitor performance and reliability of production systems, proactively identifying areas for improvement
• Collaborate with cross-functional teams to refine architecture and contribute to technical direction

• Drive deployment excellence across a distributed AWS microservices platform
• Partner with engineering teams, Tech Leads, and centralized DevOps squads
• Build a reliable, scalable, and automated software delivery platform
• Design, scale, and maintain enterprise pipelines and automate cloud infrastructure provisioning
• Manage cluster availability, security, networking, ingress, and service mesh traffic management
• Coordinate cross-team releases, Git branching strategies, and database version control/rollback strategies
• Build platform monitoring, logging, and metrics dashboards while supporting incident response and root-cause analysis (RCA)
• Partner with Dev Leads to remove deployment blockers, align on infrastructure standards, and manage cross-service dependencies

• Coordinate IT risk control execution and act as SPOC for audits and evidence submission
• Monitor control performance, risk indicators, and execution timelines
• Identify, assess, and manage IT risks across systems and processes
• Ensure compliance with internal frameworks and regulations (e.g. SOX, ITGC, DORA)
• Support audits (SOX/ITGC) and coordinate evidence collection with stakeholders
• Drive automation of manual controls and improve efficiency of risk processes
• Collaborate with DevOps, engineering, and business teams to embed risk and security controls
• Translate technical topics into clear risk and control documentation
• Develop dashboards and reports to provide visibility on risk and control performance
• Work in Agile/SCRUM environments and support multiple workstreams

IT Risk & Compliance Engineer – DevOps, Agile

• Design, develop, and maintain applications with embedded AI-powered features.
• Build intelligent business applications using modern AI technologies, including MCP, LLMs, and agentic frameworks.
• Implement and promote AI best practices, controls, and governance aligned with software development principles.
• Work with AWS and Jenkins to support deployment, automation, and infrastructure processes.
• Collaborate on microservice-based solutions and ensure alignment with architectural best practices.
• Apply Git strategies and contribute across the full software development lifecycle.
• Support the delivery of scalable, reliable, and maintainable DevOps-driven solutions.

• Partner with engineering teams to define service-level objectives, error budgets, and supporting indicators for their services, and help them use those measures to inform prioritization and reliability investment.
• Investigate complex production issues end-to-end across application, data, infrastructure, and network layers, using AI to correlate logs, metrics, and code and to pressure-test hypotheses before acting.
• Produce clear technical documentation, runbooks, architecture notes, postmortems and proofs of concept for both technical and non-technical audiences, in a form that engineers and AI tools can re-use.
• Identify systemic sources of toil and lead the work to eliminate them through automation, AI agents, tooling, and process change.
• Set the conditions for AI agents to do reliable work in our environment, including repository context, well-specified tasks, integrations such as MCP servers that give AI safe access to the systems it needs, and the tests and guardrails needed for AI-authored change to be trusted.
• Participate in team ceremonies to identify and refine work, communicate findings, and drive opportunities to collaborate.
• Drive cross-team and cross-department collaboration on reliability initiatives, including reviewing designs, influencing roadmaps, and mentoring engineers on SRE practices, including effective AI use in their reliability work.
• Advise senior leadership and stakeholders during critical customer escalations, translating between technical reality and business impact.
• Contribute to scaling the SRE practice itself: improving our standards, our tooling, and how we partner with product engineering teams.

Senior Systems Site Reliability Engineer, B2B

• Work with AWS and GCP infrastructure (IaC, networking, compute, IAM, secrets), secure access and authorization mechanisms (DB auth, IAM flows, audit).
• Communicate with various stakeholders to understand different infrastructure-related challenges, provide solution plans and ensure success of the initiatives you own.
• Collaborate closely with developers to understand their workflows, pain points, and constraints; ensure platform decisions improve developer experience.

• optimize and automate the deployment and management of platform and cloud-based services
• drive cost-effectiveness, scalability, and security throughout the digital product lifecycle
• collaborate with a global team
• implement robust monitoring and observability solutions
• drive the adoption of DevSecOps practices

Observability DevOps Engineer – RDT Digital Operations and Reliability

• Build and own the DevSecOps function from the ground up (in the security team), defining strategy, roadmap, priorities, and success metrics;
• Assess the current security posture of applications, infrastructure, cloud environments, and development processes;
• Design and implement security controls across the software development lifecycle;
• Establish and maintain secure CI/CD practices, including security gates and automated validation processes;
• Integrate security checks into engineering workflows with a strong focus on automation and developer experience;
• Build and operate vulnerability management processes, including triage, prioritization, remediation tracking, and reporting;
• Define and implement cloud security standards, guardrails, and best practices across AWS, Azure, or GCP environments;
• Design and enforce Kubernetes and container security controls, including RBAC, secrets management, network segmentation, and runtime protection;
• Develop Infrastructure-as-Code security standards and policy-as-code controls;
• Integrate security logs and events into SIEM to support monitoring, threat detection, and incident response;
• Create security standards, technical guidelines, and operational procedures for Engineering and Platform teams;
• Support security incident investigations related to cloud, infrastructure, CI/CD, application vulnerabilities, exposed credentials, and supply-chain threats.

DevSecOps

• Collaborate with software development teams and support their releases, develop, and maintain CI/CD pipelines.
• Design and implement automated infrastructure.
• Maintain existing cloud infrastructure/VMs.
• Monitor the environment, analyse and solve problems if required.
• Utilise your understanding of the Software Development Life Cycle to proactively optimise and automate infrastructure and processes.

Senior DevOps Engineer – B2B Cooperation

• Join the AWS cloud practice as a hands-on engineer supporting changing client projects across cloud infrastructure, DevOps, Kubernetes, automation, migrations and production operations
• Build and maintain AWS infrastructure using Terraform and automation
• Configure and operate Kubernetes environments, mainly EKS, with possible AKS exposure
• Create and improve CI/CD pipelines for infrastructure and application delivery
• Support Docker-based services, container registries and Helm-based deployments
• Configure cloud networking, IAM, secrets, monitoring and environment promotion
• Troubleshoot deployment, infrastructure, networking and runtime issues
• Support integration testing, hardening, release and production-readiness activities
• Prepare technical documentation, operational procedures and support knowledge transfer activities

Senior AWS / Multi-cloud DevOps Engineer

• Standardize deployments to true one‑button workflows (repeatable across many environments).
• Support developers by designing smooth SDLC paths: environments, CI/CD pipelines, templates, local‑dev tooling, and clear processes that unblock delivery.
• Drive Infrastructure as Code (Terraform on AWS), with tested, reviewed, and versioned changes.
• Own SDLC toolchains: Github, CI/CD (GitHub Actions/Jenkins), artifact registries (Harbor/Nexus), scanning tools (SonarQube/Trivy), deployment orchestrators (ArgoCD/Helm).
• Shape networking and service mesh patterns (VPCs, connectivity for air‑gapped systems, Istio).
• Bake in security from day one: secrets management, RBAC, hardening, compliance automation.
• Set up observability that matters (reliability, performance, business impact > vanity metrics).
• Partner with engineering to define release strategies (Helm, ArgoCD, canary/blue‑green).
• Lead through system design: define problems, make trade‑offs explicit, and document why.

• Build DevOps automations to setup Sagemaker Unified Studio for enterprise
• Implement Sagemaker Lifecycle configurations
• Create CICD pipelines for end-users to deploy custom Docker images & Kernels in Sagemaker
• Build alert & monitoring capabilities for Sagemaker projects to control costs and service quotas
• MLOps automations for model and infrastructure deployments to higher environments

DevOps Engineer, Sagemaker

• Define and create the platform for deploying, managing, and optimizing distributed systems across on-premises, multiple cloud environments (AWS, Azure, Google Cloud), and Kubernetes.
• Ensure our infrastructure is robust, scalable, and secure, supporting the seamless delivery of our innovative products.
• Combine cloud technologies and database management expertise, embracing the challenges of integrating AI and machine learning workflows on modern GPUs.

• Implementing scalable, reliable Kubernetes-based infrastructure solutions
• Building and maintaining infrastructure as code using Terraform and Helm
• Automating operational workflows using Python and Bash
• Ensuring system stability, performance, and security across observability services

Platform Engineer – DevOps

• Design, develop, and maintain infrastructure for AI inference workloads, including GPU scheduling, model deployment pipelines, and data access patterns in on-prem environments
• Build and manage monitoring and observability tools for AI inference platforms, including dashboards, alerts, and runbooks for model health and system performance
• Collaborate with ML engineers and platform teams to design system architecture for AI workloads, integrate inference runtimes, and test performance at scale

DevOps Engineer – AI Inference

• Design, write and deliver software to implement and support large web-scale, highly-performant, highly-available infrastructure on GCP/AWS (e.g. Terraform)
• Monitor infrastructure, respond to incidents, correct and improve systems to prevent incidents, and plan capacity
• Support system deployments and product releases
• Tune large-scale clusters for optimal performance and efficiency
• Work closely with engineering, project management, and operational peers to develop innovative technical tools and solutions
• Participation in on-call rotation

Site Reliability Engineer – IV

• Design and implement security checks in CI/CD pipelines (GitHub, GitLab)
• Configure and maintain SAST, SCA, and container scanning tools (Trivy, Dependabot)
• Identify and remediate vulnerabilities in applications and container images
• Support container image scanning and image signing practices
• Write and maintain automation scripts (Python, Bash)
• Collaborate with engineering teams to embed security into development workflows

DevOps Engineer jobs in Poland

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DevOps Engineer

Senior Site Reliability Engineer

Senior DevOps Engineer

DevOps Engineer

DevOps Engineer

IT Risk & Compliance Engineer – DevOps, Agile

DevOps Engineer

Senior Systems Site Reliability Engineer, B2B

DevOps Engineer

Observability DevOps Engineer – RDT Digital Operations and Reliability

DevSecOps

Senior DevOps Engineer – B2B Cooperation

Senior AWS / Multi-cloud DevOps Engineer

DevOps Engineer

DevOps Engineer, Sagemaker

DevOps Engineer

Platform Engineer – DevOps

DevOps Engineer – AI Inference

Site Reliability Engineer – IV

DevOps Engineer, Security Focus