👉 Senior Platform Engineer

🏢 Summary: The role focuses on designing, delivering, and operating a global AWS network backbone across multiple regions, with emphasis on Cloud WAN, centralized egress architectures, and automation-first infrastructure. It involves building secure, scalable, and cost-efficient network solutions using Infrastructure as Code and driving network reliability through testing, monitoring, and continuous improvement. The position also includes hands-on technical leadership and implementation of network automation in complex multi-region environments. 🗂️ Requirements: 5+ years of network engineering experience in enterprise cloud environments, Deep hands-on expertise with AWS Cloud WAN and multi-region connectivity, Strong proficiency in Terraform for infrastructure as code, Experience designing centralized egress architectures with AWS Network Firewall, Experience delivering large-scale network infrastructure projects, Experience with network automation and DevOps practices, Ability to troubleshoot complex multi-region network issues, Experience with AI-powered coding assistants in software delivery, Work permit and residence within the European Union, Fluent English 📃 Skills: AWS, CloudWAN, Terraform, NetworkFirewall, VPC, Routing, Networking, Automation, DevOps, IaC, Git, CI/CD, Monitoring, Firewall, AI 🏢 Description: 🟣 You will be: delivering the entire global network backbone infrastructure across multiple AWS regions, building centralised egress architectures using AWS Network Firewall to ensure secure, scalable, and cost-effective traffic management across all regions, building and maintaining AWS Cloud WAN infrastructure to provide seamless connectivity and routing across the global network footprint, developing and maintaining infrastructure as code using Terraform to ensure consistent, repeatable, and version-controlled network deployments, collaborating with security architects, cloud engineers, and other stakeholders to gather requirements and translate them into robust network architectures and technical specifications, driving the implementation of network automation and self-service capabilities to enable parallel development and incremental delivery of network services, leading by example through hands-on technical work while mentoring other network engineers and providing technical guidance and knowledge sharing, ensuring the reliability, performance, and security of network infrastructure through comprehensive testing, monitoring, and continuous improvement, driving the adoption of best practices in network engineering, including infrastructure as code and automation-first approaches, troubleshooting and resolving complex network issues across multi-region environments on time, staying up to date with the latest AWS networking services, industry trends, and technologies to ensure the infrastructure remains competitive and efficient. 🟣 Your profile: 5+ years of experience in network engineering with a strong focus on enterprise cloud networking solutions, practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, deep hands-on expertise in AWS Cloud WAN, including configuration, routing policies, and multi-region connectivity, strong proficiency in Terraform and proven experience managing complex network infrastructure deployments, extensive experience designing and implementing centralised egress architectures using AWS Network Firewall, including policy management and traffic inspection, proven track record of delivering large-scale network infrastructure projects in fast-paced environments, excellent problem-solving skills with the ability to think critically and creatively about complex network challenges, strong communication and collaboration skills with the ability to work effectively in cross-functional and team-oriented environments, experience working with agile methodologies and DevOps practices applied to network infrastructure, ability to use a data-driven approach to network optimisation, capacity planning, and decision-making, fluent English communication skills. 🟣 Nice to have: experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Work from the European Union region and a work permit are required. 🟣 Recruitment Process: CV review – HR Call – Interview – Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budget of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, ISTQB, PSM, access to Udemy, Safari Books Online and more, events and technology conferences, technology Guilds, internal training, Xebia Library, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, MultiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: flexible working hours, B2B or permanent contract, contract for an indefinite period.

🏢 Summary: The offer is for a senior DevOps/Cloud Engineer to lead and support enterprise cloud migration initiatives in Azure, focusing on CI/CD automation, infrastructure as code, and secure, scalable cloud environments. The role involves managing Azure-based platforms, optimizing performance and security, and collaborating with cross-functional teams to modernize and support business-critical systems. It also includes working with hybrid cloud environments and leveraging AI-powered tools to enhance software delivery processes. 🗂️ Requirements: 5+ years in DevOps, Cloud Engineering, or Platform Engineering, Strong hands-on experience with Microsoft Azure in production environments, Experience building and maintaining Azure DevOps CI/CD pipelines (YAML), Hands-on experience with Azure App Services, WebJobs, and Azure Functions, Knowledge of Azure API Management, Application Gateway, and WAF, Experience with Terraform and Infrastructure as Code practices, Understanding of .NET application hosting environments (.NET 4.8–.NET 8+), Experience with hybrid or multi-cloud environments (Azure and AWS), Experience with secrets management and identity solutions, Experience in enterprise migration or modernization programs, English proficiency minimum B2, Work permit and residence in the European Union 📃 Skills: Azure, AzureDevOps, CI/CD, YAML, Terraform, .NET, APIM, WAF, AppServices, WebJobs, AzureFunctions, ApplicationGateway, KeyVault, ManagedIdentity, AWS, IaC 🏢 Description: 🟣 You will be: supporting and driving cloud migration initiatives across business-critical systems, designing, building, and maintaining CI/CD pipelines in Azure DevOps, managing and optimizing Azure-based infrastructure and application environments, automating infrastructure provisioning and configuration using Infrastructure as Code practices, collaborating with development and architecture teams to ensure reliable and scalable deployments, improving platform security, performance, and operational efficiency, supporting application services and cloud-native solutions throughout the software delivery lifecycle. 🟣 Your profile: 5+ years of experience in DevOps, Cloud Engineering, or Platform Engineering roles, strong hands-on experience with Microsoft Azure, including production-grade environments, proven experience building and maintaining Azure DevOps CI/CD pipelines (YAML-based), hands-on experience with Azure App Services, WebJobs, and Azure Functions, strong knowledge of Azure API Management (APIM), Application Gateway, and WAF, experience with Terraform (azurerm provider) and Infrastructure as Code practices, understanding of .NET-based application hosting environments (.NET 4.8–.NET 8+), experience working with hybrid or multi-cloud environments (Azure + AWS), familiarity with secrets management and identity solutions (Key Vault, Managed Identity), experience working in enterprise migration or modernisation programmes, strong analytical, troubleshooting, and problem-solving skills, good communication skills and ability to work in cross-functional teams, good command of English (min. B2), practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. 🟣 Nice to have: experience with AWS migration programmes (e.g. MAP or similar initiatives), familiarity with React, Node.js, or EventStoreDB in hybrid architectures, exposure to FinOps practices and cloud cost optimisation initiatives, experience integrating AI tools into engineering workflows (CI/CD, IaC, automation), experience with enterprise-scale policy governance (Azure Policy, guardrails), experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Work from the European Union region and a work permit are required 🟣 Recruitment Process: CV review – HR Interview – Technical Interview - Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: B2B or employment contract, contract for an indefinite period.

🏢 Summary: The offer is for a senior DevOps/Platform Engineer to own and operate the Harness platform, designing and maintaining CI/CD pipelines and cloud infrastructure across Kubernetes and multi-cloud environments. The role focuses on building standardized, secure, and observable delivery pipelines with strong governance, automation, and progressive delivery practices. It also involves improving reliability, performance, and cost efficiency while enabling engineering teams through reusable templates and GitOps workflows. 🗂️ Requirements: 5+ years in DevOps, Platform Engineering, or SRE, 2+ years hands-on with Harness CI/CD (pipelines-as-code, templates, governance, rollout strategies), Strong Kubernetes operations experience, Proficiency with at least one cloud provider (AWS, Azure, or GCP), Strong Terraform experience with reusable modules and multicloud provisioning, Experience with CloudFormation or ARM/Bicep, Hands-on scripting with Bash, Python, or Go, Experience with CI/CD and Git-based workflows, Experience integrating security scans into pipelines (SAST, DAST, dependency/image scanning), Knowledge of observability (metrics, logs, traces), Experience with Ansible, Upper-intermediate/advanced English (B2/C1), EU work permit and ability to work EST overlap 📃 Skills: Harness, Kubernetes, Terraform, AWS, Azure, GCP, CloudFormation, ARM, Bicep, Helm, Kustomize, Git, GitHub, GitLab, Bitbucket, GitHubActions, ArgoCD, Flux, Bash, Python, Go, Ansible, Prometheus, Grafana, OpenTelemetry, Datadog, NewRelic, SAST, DAST, OPA, Conftest, SBOM 🏢 Description: 🟣 You will be: owning and operating the Harness Platform by: designing, implementing, and maintaining Harness pipelines for Kubernetes, ECS, serverless, and VM deployments, including canary/blue‑green strategies and automated rollbacks, operating CI pipelines and shared build infrastructure, improving build performance and developer feedback loops, configuring and managing Feature Flags to support progressive delivery and experimentation, integrating Harness SRM/Chaos (if applicable) to support deployment verification, resilience testing, and error budget policies, partnering with FinOps to leverage cost dashboards, budgets, and guardrails for cloud spend optimization; engineering Delivery Pipelines, Environments, and Infrastructure by: creating reusable pipeline templates, governance controls, and “paved roads” for application teams, implementing secrets management, artifact versioning, and environment promotion flows (dev → test → staging → prod), standardizing infrastructure provisioning with Terraform, Helm/Kustomize, CloudFormation, and ARM/Bicep, supporting Git-based workflows (GitHub, GitLab, Azure Repos, Bitbucket) and applying GitOps practices (Argo CD/Flux) where appropriate; strengthening Reliability, Security, and Compliance by: embedding automated tests, security scans (SAST, DAST, dependency/image scanning, SBOM), and quality gates into CI/CD pipelines, enforcing RBAC, least privilege, SSO/SCIM, and audit readiness across platforms, contributing incident response, post-incident reviews, and the continuous evolution of SLIs/SLOs, building and integrating Observability and Performance Tooling by: integrating observability systems (Prometheus/Grafana, OpenTelemetry, Datadog, New Relic) into deployment verification and runtime dashboards, optimizing reliability, building performance, caching, architecting storage, and runtime platform performance; driving Collaboration and Enablement by: onboarding product and engineering teams onto the Harness platform, running enablement workshops, producing documentation, and maintaining self-service resources, measuring and reporting delivery metrics such as lead time, deployment frequency, change fail rate, and MTTR — and driving improvement initiatives based on these insights. 🟣 Your profile: ready to work in EST time (occasional overlap), 5+ years in DevOps, Platform Engineering, or SRE roles, 2+ years hands-on with Harness CI and/or CD , including pipelines-as-code, templates, governance, and rollout strategies, strong experience with Kubernetes (operations, Helm/Kustomize, operators), good proficiency with at least one major cloud (AWS, Azure, or GCP), demonstrated expertise with Terraform , reusable modules, and multicloud provisioning (CloudFormation, ARM/Bicep), hands-on experience with scripting (Bash, Python, or Go) and automation mindset, experience with CI/CD and Git-based workflows, GitHub Actions or comparable CI tools, familiarity with security integration (SAST/DAST, scanning, OPA/Conftest), expertise with observability fundamentals (metrics, logs, traces), ansible for configuration and orchestration, upper intermediate/advanced English (B2/C1). Work from the European Union region and a work permit are required 🟣 Nice to have: GitOps (Argo CD/Flux), Harness Feature Flags, SRM, Chaos, or Cloud Cost Management, Kafka experience (operational or integration), Elasticsearch cluster operations, Redis (caching, broker patterns, session management), FinOps exposure, familiarity with compliance frameworks (SOC2, ISO27001, HIPAA, PCI), SRE experience with SLOs, SLIs, and error budgets, PKI, vaulting, workload identity solutions. 🟣 Recruitment Process: CV review – HR Interview – Technical Interview - Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: B2B or employment contract, contract for an indefinite period.

🏢 Summary: On-site role in Wroclaw for a Kubernetes & Cloud Infrastructure Engineer focused on building and operating scalable, secure AI platform infrastructure. The position centers on managing Kubernetes clusters, AWS environments, and infrastructure as code to support GPU workloads and large language model deployments. You will enhance reliability, automation, and observability of cloud-native AI systems. 🗂️ Requirements: 4+ years in Cloud, DevOps, or Platform Engineering, Strong expertise in Kubernetes cluster operations and multi-tenancy, Experience with GPU scheduling and model serving infrastructure, Hands-on experience with AWS (networking, IAM, EKS, EC2), Proficiency in Python, Experience with Terraform and infrastructure as code, Ability to build and operate CI/CD pipelines, Experience implementing GitOps workflows, Experience defining and managing infrastructure SLOs, Fluent English, Legal right to work in the EU 📃 Skills: Kubernetes, AWS, EKS, EC2, IAM, Terraform, Helm, Kustomize, Python, CI/CD, GitOps, GPU, Docker, Linux, Networking, Observability 🏢 Description: Unleash the power of cloud-native infrastructure — revolutionize AI platforms with your expertise! Wroclaw-based opportunity with on-site work model As a Kubernetes & Cloud Infrastructure Engineer – AI Platform , you will be working for our client, a leader in AI innovation, building and managing critical infrastructure that supports advanced AI models and large language model workloads. Your work will directly impact the delivery, scalability, and security of cutting-edge AI solutions, empowering teams across the firm to harness AI's full potential. Join us and be part of shaping the future of intelligent technologies! Your main responsibilities: Build and operate scalable Kubernetes clusters supporting multi-tenancy, GPU workloads, and model serving. Manage AWS infrastructure, including networking, IAM, security, and cost optimization. Develop and maintain infrastructure as code utilizing tools like Terraform, Helm, and Kustomize. Implement and maintain CI/CD and GitOps workflows to streamline deployment pipelines. Build observability solutions for system health, utilization, latency, and platform performance monitoring. Automate scaling, capacity management, and enforce security and governance policies across cloud and on-premise environments. Define and monitor infrastructure Service Level Objectives (SLOs) to ensure reliability and performance. Collaborate closely with AI Platform Engineers, Data Scientists, and Research teams to support model inference and deployment infrastructure. Enable internal teams through platform tooling, onboarding, and self-service portals. You're ideal for this role if you have: 4+ years of experience in Cloud, DevOps, or Platform Engineering. Strong expertise in Kubernetes, including cluster operations, multi-tenancy, GPU scheduling, and Helm/Kustomize. Hands-on experience with AWS cloud services—networking, IAM, EKS, EC2, and cost management. Proficient in Python and infrastructure-as-code tools such as Terraform. Proven ability to build and operate CI/CD and GitOps workflows. Skilled in defining and managing infrastructure SLOs. Pragmatic, ownership-driven approach and comfortable working in ambiguous environments. It is a strong plus if you have: Experience supporting LLM inference workloads, model serving platforms, or GPU-backed infrastructure. Knowledge of RAG systems, vector databases, or AI-related data platforms. Background in high-performance or latency-sensitive environments. Relevant certifications such as CKA, CKAD, Solutions Architect, or similar. Language Required for the role: Fluent English Eligibility to work in this role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: The offer is for a DevOps Engineer responsible for building and maintaining infrastructure, CI/CD pipelines, and operational tooling to enable fast, reliable, and scalable software delivery. The role focuses on AWS-based environments, Kubernetes orchestration, infrastructure as code, and observability. You will ensure high availability, performance, and security of application platforms while supporting continuous delivery practices. 🗂️ Requirements: 5+ years of experience with DevOps and Continuous Delivery, Practical experience with AWS services, infrastructure, and networking, Strong experience with Kubernetes and container orchestration, Proficiency in Terraform and Helm, Experience with CI/CD pipelines (GitLab CI/CD, GitHub Actions or similar), Hands-on experience with GitOps practices, Experience with monitoring, observability, and logging tools, Proficiency in Bash and PowerShell scripting, Knowledge of Python, Understanding of security practices (OWASP, encryption, secrets management), Work permit and residence in the European Union 📃 Skills: AWS, Kubernetes, EKS, Terraform, Helm, Python, Bash, PowerShell, GitOps, ArgoCD, GitLab, GitHub, Prometheus, Grafana, AppDynamics, OpenSearch, OWASP, Encryption, Networking, CI/CD 🏢 Description: 🟣 You will be: building and supporting the tools, processes and infrastructure empowering the faster delivery and scaling of software iterations (ideally with greater quality and the necessary operational insight), ensuring availability, reliability and scalability of application infrastructure, building and supporting continuous integration/delivery and release tools, ensuring the right metrics are collected and monitored. 🟣 Your profile: smart and tech-savvy engineer with 5+ years of experience working with DevOps practices and Continuous Delivery, practical knowledge of AWS services, infrastructure and networking, solid experience with Kubernetes (ideally EKS on AWS) and container orchestration, Python knowledge, hands-on with GitOps practices, preferably with ArgoCD, strong skills in Terraform and Helm, proficiency in Bash and PowerShell scripting, experience with CI/CD pipelines and tooling (GitLab CI/CD, GitHub Actions, or similar), experience with monitoring, observability, and logging tools, such as Prometheus, Grafana, AppDynamics, and OpenSearch, security awareness (OWASP, encryption, secrets management), very communicative and collaborative, with a strong sense of ownership, upper intermediate/advanced English (B2/C1). 🟣 Nice to have: AWS certifications such as Solutions Architect or Platform Engineer, familiarity with FluxCD, experience with Rancher, knowledge of Keycloak. Work from the European Union region and a work permit are required 🟣 Recruitment Process: CV review – HR Interview – Technical Interview - Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: B2B or employment contract, contract for an indefinite period.

🏢 Summary: The role involves developing and maintaining high-performance backend systems for advertising and e-commerce platforms, focusing on scalable microservices and real-time data processing using Kotlin and Spring Boot. You will design low-latency services, contribute to system architecture, and support production environments in a high-scale setting. The position also emphasizes AI-assisted development practices and collaboration within engineering teams. 🗂️ Requirements: 3+ years of backend development experience, Very good knowledge of Kotlin, Very good knowledge of Spring Boot, Hands-on experience with microservices architecture, Experience with NoSQL databases, Experience with MongoDB, Experience building and maintaining backend systems and APIs, Understanding of system design and scalable architecture, Experience with high-performance and high-scale systems, English B2 level, Polish C1 level, Work permit in the European Union, Openness to occasional visits to Warsaw office, Experience using AI-powered coding assistants 📃 Skills: Kotlin, SpringBoot, MongoDB, NoSQL, Microservices, REST, APIs, GenAI, Claude, GitHubCopilot, Cursor, AWS, Azure 🏢 Description: 🟣 You will be: developing and maintaining backend systems for advertising and e-commerce platforms, building low-latency, high-performance services processing large volumes of data, developing scalable microservices and APIs using Kotlin and Spring Boot, working on real-time event processing and advertising targeting mechanisms, contributing to architecture design and system scalability improvements, collaborating with stakeholders and supporting engineering best practices, including code reviews and code quality standards, participating in technical readiness/on-call support for production incidents a few days per month. 🟣 Your profile: 3+ years of professional experience in backend development, very good knowledge of Kotlin and Spring Boot, openness to occasional visits to the Warsaw office (1–2 days per quarter), hands-on experience with microservices architecture, practical experience working with NoSQL databases, especially MongoDB, experience building and maintaining backend systems and APIs, understanding of system design and scalable architecture principles, experience working with high-performance and high-scale systems, strong analytical thinking and problem-solving skills, ability to collaborate effectively with stakeholders and engineering teams, good communication skills in English (B2) and Polish (C1), practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. Work from the European Union region and a work permit are required. 🟣 Nice to have: experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. 🟣 Recruitment Process: CV review – HR call – Technical Interview – Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: B2B or employment contract, contract for an indefinite period.

🏢 Summary: 12+ month B2B contract for a remote Platform Engineer to design and operate a Kubernetes-based internal cloud platform enabling reliable deployments for application and data teams. The role focuses on building self-service CI/CD capabilities, ensuring platform reliability, security, and observability, and supporting multi-environment, primarily Azure-based, deployments. 🗂️ Requirements: Strong expertise in Kubernetes (AKS and on-prem), Hands-on experience with CI/CD pipelines, Proficiency in Azure DevOps YAML, Solid understanding of platform reliability, observability, and security, Operational experience in multi-cloud environments, Experience working with Microsoft Azure 📃 Skills: Kubernetes, AKS, Azure, AzureDevOps, YAML, CICD, Observability, Security, Multicloud 🏢 Description: Summary: The Platform Engineer role focuses on building and operating a shared cloud platform to facilitate reliable deployments for application and data teams. This position combines platform engineering expertise with DevOps practices and data-platform exposure, particularly concerning Kubernetes environments. What we offer: Contract Length: 12 months+ prolongation Type of contract: B2B Contract Work Model: Remote Main Responsibilities: Design and operate a Kubernetes-based internal platform for application and data workloads. Provide self-service deployment and runtime capabilities for engineering teams via standardized pipelines and templates. Build and maintain CI/CD pipelines as platform components, primarily using Azure DevOps YAML. Operate and evolve platform integrations for data systems , including Snowflake-based workloads. Ensure platform reliability, observability, and security across environments. Support multi-environment and multi-cloud deployments , primarily in Azure. Own operational aspects of the platform, including troubleshooting, incident response, and continuous improvements. Key Requirements: Kubernetes expertise (AKS and on-prem Kubernetes) Experience with CI/CD pipelines, notably Azure DevOps YAML Strong understanding of platform reliability, observability, and security Operational experience in multi-cloud environments (Azure preference) Nice to Have: Experience with Snowflake Familiarity with AWS/GCP Proficiency with Terraform Knowledge of Bash and Python Experience with AI technologies

🏢 Summary: The offer is for a senior DevOps/Platform Engineer role focused on building and scaling CI/CD pipelines, cloud infrastructure, and observability solutions to ensure high availability, reliability, and fast software delivery. The position involves working with Kubernetes, cloud platforms, GitOps, and AI-related tooling to support modern, scalable application environments. It requires strong hands-on technical leadership and expertise in automation, infrastructure as code, and monitoring. 🗂️ Requirements: 5+ years of experience with DevOps practices and Continuous Delivery, Hands-on experience with AWS and Azure services, Strong experience with Kubernetes (EKS, AKS) and container orchestration, Proficiency in Terraform and Helm, Experience with GitOps practices (e.g., ArgoCD), Experience with CI/CD pipelines (GitLab CI/CD, GitHub Actions or similar), Strong scripting skills in Bash and PowerShell, Python knowledge, Experience with monitoring and observability tools, Strong networking knowledge, Experience with AI Agents and Claude Code, Experience with FastMCP or other MCP libraries, Knowledge of security best practices (OWASP, encryption, secrets management), Upper intermediate/advanced English (B2/C1), Work permit and residence in the European Union 📃 Skills: AWS, Azure, Kubernetes, EKS, AKS, Terraform, Helm, ArgoCD, GitLab, GitHub, Python, Bash, PowerShell, Prometheus, Grafana, AppDynamics, OpenSearch, Claude, FastMCP, FluxCD, Harness, Rancher, Keycloak, Networking, GitOps, CI/CD 🏢 Description: 🟣 You will be: building and supporting the tools, processes and infrastructure empowering the faster delivery and scaling of software iterations (ideally with greater quality and the necessary operational insight), ensuring availability, reliability and scalability of application infrastructure, building and supporting continuous integration/delivery and release tools, ensuring the right metrics are collected and monitored. 🟣 Your profile: hands-on experience as a tech leader, smart and tech-savvy engineer with 5+ years of experience working with DevOps practices and Continuous Delivery, practical knowledge of AWS and Azure services, infrastructure and networking, solid experience with Kubernetes (EKS and AKS) and container orchestration, Python knowledge, strong networking skills, experience in Claude Code, experience in working with AI Agents, experience in FastMCP or other MCP libraries, hands-on with GitOps practices, preferably with ArgoCD, strong skills in Terraform and Helm, proficiency in Bash and PowerShell scripting, experience with CI/CD pipelines and tooling (GitLab CI/CD, GitHub Actions, or similar), experience with monitoring, observability, and logging tools, such as Prometheus, Grafana, AppDynamics, and OpenSearch, security awareness (OWASP, encryption, secrets management), very communicative and collaborative, with a strong sense of ownership, upper intermediate/advanced English (B2/C1). Work from the European Union region and a work permit are required 🟣 Nice to have: AWS/ Azure certifications such as Solutions Architect or Platform Engineer, familiarity with FluxCD, experience with Harness, experience with Rancher, knowledge of Keycloak. 🟣 Recruitment Process: CV review – HR Interview – Technical Interview - Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: B2B or employment contract, contract for an indefinite period.

🏢 Summary: The role involves designing, building, and operating scalable and secure Azure Kubernetes Service (AKS) platforms with a strong focus on cloud-native technologies, automation, and GitOps. The engineer will manage containerized workloads, implement autoscaling and observability solutions, and define infrastructure as code in production Azure environments. This position emphasizes platform security, CI/CD, and support for advanced workloads including GPU-based deployments. 🗂️ Requirements: Strong hands-on experience with Kubernetes in production environments, Experience with Azure Kubernetes Service (AKS), Advanced knowledge of Docker and containerization, Experience implementing autoscaling with KEDA, Proficiency in Helm, Experience with Azure services (AKS, ACR, Key Vault, Managed Identities, Azure Monitor), Experience building CI/CD pipelines, Experience implementing GitOps workflows (Flux or Argo CD), Experience with Infrastructure as Code (Terraform, Bicep, or ARM), Experience with observability tools (Prometheus, Grafana, OpenTelemetry), Strong scripting skills (Bash or Python), Understanding of Kubernetes security best practices 📃 Skills: Kubernetes, AKS, Docker, KEDA, Helm, Azure, ACR, KeyVault, ManagedIdentities, AzureMonitor, AzureDevOps, GitLab, Flux, ArgoCD, Terraform, Bicep, ARM, Prometheus, Grafana, OpenTelemetry, Bash, Python, PowerShell, GitOps, RBAC, NVIDIA, GPU 🏢 Description: Azure Kubernetes Platform Engineer We are seeking a skilled Azure Kubernetes Platform Engineer to design, build, and operate scalable, secure, and high-performance Kubernetes platforms on Azure. This role is ideal for someone passionate about cloud-native technologies, platform engineering, and enabling teams through robust infrastructure and automation. Key Responsibilities Design, deploy, and manage production-grade platforms on Azure Kubernetes Service (AKS). Build and optimize containerized workloads using Docker, ensuring efficiency and security. Implement event-driven autoscaling solutions using KEDA. Develop and maintain reusable Helm charts to support scalable application deployments. Manage and integrate Azure services such as ACR, Key Vault, Managed Identities, and Azure Monitor. Build and maintain CI/CD pipelines using Azure DevOps or GitLab CI, with a strong focus on GitOps practices (Flux or Argo CD). Support GPU-based workloads, including configuration of NVIDIA device plugins and GPU node pools. Implement robust observability solutions using Prometheus, Grafana, and OpenTelemetry. Ensure platform security through Kubernetes best practices, including RBAC, workload identity, and non-root containers. Define and manage infrastructure using Terraform, Bicep, or ARM templates. Core Skills & Experience Strong hands-on experience with Kubernetes, particularly Azure Kubernetes Service (AKS), in production environments. Advanced knowledge of containerization and Docker best practices. Experience implementing autoscaling using KEDA (ScaledObjects and ScaledJobs). Proficiency in Helm for packaging and deploying applications. Solid experience across the Azure ecosystem (AKS, ACR, Key Vault, Managed Identities, Azure Monitor). Experience building CI/CD pipelines and implementing GitOps workflows. Familiarity with GPU workloads in Kubernetes environments. Strong scripting skills in Bash and Python (PowerShell beneficial). Experience with observability and monitoring tools (Prometheus, Grafana, OpenTelemetry). Understanding of Kubernetes security and Infrastructure as Code principles. Nice to Have Advanced KEDA scaling patterns (e.g., Azure Service Bus, Prometheus metrics, cron-based scaling). Experience with Python-based machine learning workloads and modern packaging tools (uv, pyproject.toml, tox). Knowledge of PostgreSQL and Redis in highly available containerized environments. Experience with Java / Spring Boot microservices. Familiarity with workflow orchestration tools such as Temporal, Ray, or Argo Workflows. Exposure to WASM/WASI workloads on Kubernetes. FinOps experience in multi-team Kubernetes environments. Relevant certifications (e.g., CKA, CKAD, CKS, AZ-104, AZ-400, AZ-305). Why Join Us? Work on cutting-edge cloud-native and Kubernetes technologies. Build platforms that empower engineering teams at scale. Collaborate in a highly technical, forward-thinking environment.

🏢 Summary: The offer is for a Senior Platform Engineer responsible for designing, building, and operating a scalable internal developer platform on AWS, combining DevOps and development expertise. The role focuses on Infrastructure as Code, multi-account cloud governance, CI/CD automation, container platforms, and secure networking. The engineer will enable distributed teams through self-service tools, platform standards, and reliable production operations. 🗂️ Requirements: 4+ years experience as Platform Engineer or DevOps Engineer, Hands-on experience with AWS multi-account environments, Strong expertise in Terraform (modules, state management, guardrails), Experience operating EKS and/or ECS in production, Experience with CI/CD and GitHub-based workflows, Knowledge of OIDC and least-privilege deployment patterns, Understanding of IAM, SCPs, permissions boundaries, Experience with cloud security and secure networking, Experience with monitoring, logging, alerting, incident handling, Professional development experience in Java, Kotlin, Node.js or TypeScript, Ability to work with container-based workloads 📃 Skills: AWS, Terraform, EKS, ECS, CI/CD, GitHub, OIDC, IAM, SCP, VPC, TGW, Route53, SSO, CDK, Java, Kotlin, Spring, Node.js, TypeScript, Docker, Kubernetes 🏢 Description: Job Purpose We are looking for a Senior Platform Engineer with strong DevOps experience , combining deep operational expertise with a development background. You are comfortable working at the intersection of infrastructure, security, and application development, and you enjoy enabling other teams to move faster through well-designed platforms and abstractions. You bring both a builder and operator mindset: you design scalable systems, automate everything possible, and take ownership of platform reliability in production. We offer B2B Contract (remote) or Offer of Employment/Umowa o prace (4 days mandatory working from our office in Kraków) - details to be discussed with your recruiter. Key Responsibilities Build and maintain core platform components (SSO, Access Management, clusters, networking, CI/CD, observability). Own Terraform modules, baseline configurations, and guardrails for distributed teams. Design and evolve platform “golden paths” — secure defaults, templates, and standards. Maintain platform IaC (Terraform, modules, state design, multi-account governance). Integrate with team-owned CDK stacks through stable platform contracts. Lead evolution of platform abstraction layers and service catalogs. Design and manage multi-account AWS landing zone (Orgs, SCPs, permissions boundaries). Own developer onboarding patterns (IAM SSO access, automation, pipelines). Build safe cross-account deployment workflows (GitHub OIDC, least privilege). Design and operate ECS and EKS clusters used by hundreds of services. Establish best practices for container execution, networking, autoscaling Manage central networking components (VPC, TGW, Route53). Ensure secure east–west communication between workloads in different accounts. Provide self-service tools and templates for teams (pipelines, service definitions, actions). Abstract platform complexity to enable fast and safe deployments for all teams. Own documentation, workshops, patterns, and architectural guidance. Operate and evolve platform-wide logging, metrics, and tracing systems. Ensure operational standards for platform components. You are meant for this job if: Strong experience as a Platform Engineer / DevOps Engineer operating production systems at scale Proven +4 years hands-on expertise with AWS , especially multi-account environments and organizational governance Deep understanding of Infrastructure as Code , particularly Terraform (modules, state management, guardrails) Solid experience running and operating EKS and/or ECS in production Strong background in CI/CD , GitHub-based workflows, and secure deployment patterns (OIDC, least privilege) Experience designing developer platforms and internal tooling for self-service and standardization Strong understanding of cloud security , IAM, SCPs, permissions boundaries, and secure networking Operational excellence mindset: monitoring, logging, alerting, SLOs, and incident handling In addition to infrastructure and operations, you have hands-on development experience , allowing you to collaborate closely with application teams and design pragmatic platform contracts: Professional experience developing services in one or more of: Java / Kotlin (Spring Boot) Node.js / TypeScript Familiarity with modern API design, service runtime concerns, and container-based workloads Ability to read, debug, and contribute to application code when needed