Azure Kubernetes Platform Engineer - Wroclaw - Poland - Hybrid

🏢 Summary: Design, deploy, and maintain high-availability Azure cloud environments with a strong focus on AKS and Infrastructure as Code using Terraform. The role centers on secure, scalable, and well-monitored Azure infrastructure, including networking, identity, databases, and disaster recovery. You will drive automation and operational excellence across the Azure ecosystem. 🗂️ Requirements: Experience managing Azure Kubernetes Service (AKS) clusters, Proficiency in Infrastructure as Code using Terraform, Experience with YAML and Helm for Kubernetes deployments, Administration of Azure networking components (VNETs, NSGs), Management of Azure VMs, Storage Accounts, and ACR, Implementation of Azure AD (Entra ID) and IAM policies, Administration of Azure SQL and SQL Server environments, Configuration of monitoring with Azure Monitor, App Insights, and Log Analytics, Design and implementation of disaster recovery and backup strategies 📃 Skills: Azure, AKS, Kubernetes, Terraform, YAML, Helm, VNET, NSG, ACR, AzureAD, IAM, AzureSQL, SQLServer, AzureMonitor, AppInsights, LogAnalytics, Velero 🏢 Description: Role Overview We are looking for a highly skilled Azure Cloud & Platform Engineer to join our infrastructure team. In this role, you will be responsible for designing, deploying, and maintaining high-availability cloud environments with a heavy focus on container orchestration ( AKS ) and Infrastructure as Code ( Terraform ). You will ensure that our Azure ecosystem is secure, scalable, and monitored to the highest standards. Key Responsibilities Kubernetes Orchestration: Manage and optimize Azure Kubernetes Services (AKS) , including cluster configuration, scaling, and lifecycle management. Infrastructure as Code (IaC): Develop and maintain automated infrastructure deployments using Terraform , YAML , and Helm charts. Cloud Administration: Oversee core Azure resources including Networking (VNETs, NSGs), Storage Accounts, Azure VMs, and Container Registries (ACR). Security & Identity: Implement and manage Azure Active Directory (Azure AD/Entra ID) and Identity & Access Management (IAM) policies to ensure a "least privilege" environment. Database Management: Administer Azure SQL environments, including SQL Server, individual databases, and Elastic Pools. Observability & Monitoring: Set up and maintain robust monitoring solutions using Azure Monitor, App Insights, and Log Analytics . Disaster Recovery: Design and implement Disaster Recovery (DR) mechanisms and backup strategies (e.g., using Velero ). Technical Documentation: Create and maintain comprehensive documentation for system configurations, architecture setups, and operational procedures. Preferred Skills Experience with Velero for Kubernetes backups. Knowledge of the ELK Stack (ElasticSearch, Logstash, Kibana). Experience with Open Source monitoring tools: Prometheus, Grafana, and Loki . Familiarity with Ansible for configuration management. Exposure to Apache Kafka messaging systems. Candidate Profile The ideal candidate is a proactive engineer who prioritizes automation over manual intervention. You should be comfortable working in a fast-paced environment, taking ownership of cloud resources, and ensuring that all solutions are documented and resilient. Your approach should combine technical depth in Azure with a broader understanding of DevOps best practices.

🏢 Summary: Platform Engineer role focused on designing, building, and maintaining Azure-based cloud infrastructure, Kubernetes clusters, and shared CI/CD pipelines. The position centers on Azure DevOps pipeline templates, Infrastructure as Code with Terraform, and automation for .NET application deployments. The role ensures secure, standardized, and reliable platform operations across environments. 🗂️ Requirements: Hands-on experience with Azure Kubernetes Service (AKS) configuration and operations, Strong knowledge of CI/CD principles and GitFlow branching strategy, Experience building and maintaining Azure DevOps YAML pipelines, Proficiency in PowerShell Core 7+ scripting and module development, Experience with Terraform modules and state management, Experience with Azure services (Key Vault, ACR, Service Bus, SQL Database, Storage, Managed Identities, RBAC), Knowledge of .NET build and containerization processes, Understanding of Azure networking (VNets, NSGs, private endpoints, DNS, ingress), Experience managing multi-stage deployment pipelines, Ability to design and maintain Infrastructure as Code solutions 📃 Skills: Azure, AKS, AzureDevOps, YAML, Terraform, PowerShell, Kubernetes, Helm, Docker, ACR, .NET, NuGet, SQL, DACPAC, ServiceBus, KeyVault, RBAC, ManagedIdentities, VNets, NSG, DNS, OpenShift, SonarQube, Keycloak, AzureCLI 🏢 Description: About the Role The Platform Engineer is a key member of the Platform Team, responsible for enabling development, deployment, and operation of applications across the organization. You will design, build, and maintain the shared foundations — pipelines, infrastructure, and tooling — that development teams rely on to ship software faster, more securely, and more reliably. You will own and evolve a shared Azure DevOps pipeline template library consumed by all application teams, manage Azure Kubernetes Service (AKS) clusters (including confidential compute), and automate infrastructure provisioning using Infrastructure as Code. Key Responsibilities Platform Engineering & Infrastructure Design, build, and maintain Azure Kubernetes Service (AKS) clusters — both private and public — including node pool configuration, networking, ingress, autoscaling, and confidential compute workloads. Manage and evolve the Azure cloud platform: subscriptions, resource groups, Key Vault, Azure Container Registry, Service Bus, Storage Accounts, and SQL databases. Operate and support OpenShift environments where applicable. Ensure platform security, reliability, and compliance with organizational standards (network policies, managed identities, TLS, RBAC). CI/CD Pipeline Development & Maintenance Develop and maintain shared, reusable CI/CD pipeline templates (YAML) in Azure DevOps, consumed by all application repositories across the organization. Build and optimize multi-stage deployment pipelines covering build, test, package, and deploy for .NET 8 applications, including container image builds (Docker/ACR), database deployments (DACPAC/sqlpackage), and Service Bus provisioning. Author and maintain PowerShell Core 7+ modules and scripts that drive pipeline logic — configuration generation, deployment map parsing, secret retrieval, Terraform variable construction, and Helm-based deployments. Ensure pipelines enforce security, quality gates (SonarQube), and environment promotion controls (DEV → TST → VAL → Manual Gate → PRD). Standardize deployment patterns so all project teams follow consistent, auditable release workflows. Infrastructure as Code (IaC) Design, author, and maintain Terraform modules for provisioning and configuring Azure resources: AKS workloads (via Helm provider), Keycloak identity clients, SQL users, managed identities, Key Vault HSM keys, and Service Bus RBAC. Automate provisioning, scaling, and lifecycle management of infrastructure resources using Terraform, Azure CLI, and PowerShell. Manage Terraform state (Azure Storage backend with AAD auth) and ensure safe, repeatable deployments across environments. Repository & Azure DevOps Administration Administer the shared Common/devops repository and associated deployment configuration repositories. Support version control practices, branching strategy (GitFlow: DEV/MAIN/hotfix), and PR validation workflows. Manage Azure DevOps service connections, agent pools, variable groups, and environment approvals. Collaboration & Enablement Serve as the bridge between infrastructure and application development teams, helping them integrate platform capabilities into their workflows. Provide guidance and support on platform standards, deployment map configuration, pipeline extension patterns, and troubleshooting. Write and maintain documentation (README, schema references, onboarding guides) for consuming teams. Review contributions to shared platform code for architectural consistency and backward compatibility. Key Requirements - Hands-on experience operating and configuring Azure Kubernetes Service — networking, ingress, node pools, autoscaling, confidential compute, Helm chart deployments. - Strong understanding of CI/CD principles, GitFlow branching, environment promotion, and deployment automation. - Familiarity with .NET 10 build toolchain (dotnet build), NuGet, solution/project structure, and containerizing .NET applications. - Proficiency in PowerShell Core 7+ — writing modules (.psm1), classes, Pester 5+ tests, and robust scripting with proper error handling. - Broad experience with Azure services: Key Vault, Container Registry, Service Bus, Storage Accounts, SQL Database, Managed Identities, RBAC. - Understanding of cloud architecture principles — scalability, high availability, security, cost management. - Experience with Azure DevOps (TFS) — YAML pipelines, extends templates, repositories, service connections, agent pools, artifacts. - Ability to author and maintain multi-stage YAML pipeline templates with parameterization, conditions, and template composition. - Experience writing and maintaining Terraform configurations — modules, providers (azurerm, helm, keycloak, mssql, kubernetes), state management, plan/apply workflows. - Understanding of network concepts relevant to AKS and Azure — VNets, NSGs, private endpoints, DNS, ingress controllers, proxy configuration. - Ability to reason about system architecture — separation of concerns, shared platform design, module boundaries, and extensibility. Nice to Have - Experience with Keycloak or OpenID Connect identity management. - Familiarity with Docker and container image build optimization. - Knowledge of database deployment automation (DACPAC, sqlpackage). - Experience with SonarQube or similar code quality tooling. - Familiarity with confidential computing on Azure. - Experience with OpenShift container platform.

🏢 Summary: Design and deliver production-grade Kubernetes platforms across Azure (AKS) and on-prem environments for critical in-house applications. The role focuses on portability, reliability, observability, and secure container lifecycle management. You will architect, deploy, and migrate Kubernetes workloads while defining networking, storage, and security standards. 🗂️ Requirements: 6–8+ years of experience with Linux and container platforms, Deep expertise in Kubernetes (managed and on-prem), Strong understanding of cloud-native architectures, Experience designing Kubernetes networking, storage, and security, Hands-on experience with PostgreSQL in cloud or containerized environments, Infrastructure-as-Code experience, Strong troubleshooting and performance tuning skills 📃 Skills: Kubernetes, AKS, Docker, OpenTofu, Terraform, Bicep, Helm, ArgoCD, Flux, PostgreSQL, Linux, Azure, GitOps 🏢 Description: Tech stack: Kubernetes (AKS & on‑prem) Docker OpenTofu / Terraform / Bicep Helm GitOps tools (ArgoCD, Flux) PostgreSQL Linux Requirements: 6–8+ years of experience with Linux and container platforms Deep expertise in Kubernetes (managed and on‑prem) Strong understanding of cloud‑native architectures Experience designing Kubernetes networking, storage, and security Hands‑on experience with PostgreSQL in cloud or containerized setups Infrastructure‑as‑Code experience Strong troubleshooting and performance tuning skills Nice to have: ELK stack experience Azure Administrator certification or experience Open‑source storage solutions (Ceph, Longhorn) Policy engines (OPA, Kyverno) Experienced in using AI tools in day-to-day workflow Project description: You will design and deliver production‑grade Kubernetes platforms across cloud and on‑prem environments hosting critical in‑house applications. The role focuses on portability, reliability, observability, and secure container lifecycle management. Main responsibilities: Design and deploy on‑prem and AKS Kubernetes clusters Enable workload portability between Azure and on‑prem Define networking, ingress, storage, and security patterns Deliver Kubernetes workload migrations Build container image lifecycle processes Collaborate closely with Platform Engineers and Infrastructure teams

🏢 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 Platform Engineer responsible for designing, building, and operating scalable Kubernetes-based platforms on AWS. The role focuses on backend platform development, Infrastructure as Code with Terraform, CI/CD automation, and improving developer experience through self-service and multi-tenant solutions. It involves driving reliability, observability, and automation across a cloud-native ecosystem. 🗂️ Requirements: 5+ years of experience as a Platform Engineer, Strong hands-on experience with Kubernetes, including cluster operations, Strong programming skills in TypeScript or Go, Experience with AWS or other cloud platforms, Experience with Infrastructure as Code tools, preferably Terraform, Experience with CI/CD pipelines and deployment automation, Experience designing scalable multi-tenant systems, Strong understanding of API and platform architecture, Solid Linux and networking fundamentals, Experience with observability and monitoring solutions, Experience building self-service platform capabilities, Practical experience using AI-powered coding assistants, Work permit and residence in the European Union 📃 Skills: Kubernetes, AWS, Terraform, TypeScript, Go, Python, CI/CD, Linux, Networking, APIs, Docker, OpenTelemetry, Backstage, GitHub, Claude, Cursor 🏢 Description: 🟣 You will be: designing, building, and operating scalable Kubernetes-based platform infrastructure, developing backend platform services and reusable engineering components, building and maintaining cloud-native solutions (primarily on AWS), creating and evolving Infrastructure as Code solutions using Terraform, designing and implementing CI/CD pipelines and deployment automation, developing scalable multi-tenant platform capabilities for engineering teams, building self-service developer platform features and internal tooling, designing and maintaining APIs and platform architecture standards, improving platform reliability, observability, and monitoring capabilities, collaborating with engineering teams to improve developer experience and platform adoption, contributing to platform engineering best practices and technical standards, supporting container platform operations and orchestration processes, driving automation and operational excellence across the platform ecosystem. 🟣 Your profile: 5+ years of experience as a Platform Engineer, practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, strong hands-on experience with Kubernetes, including cluster operations and orchestration concepts, strong backend engineering background, strong programming skills in TypeScript and/or Go; Python experience is a plus, solid experience with cloud platforms, preferably AWS, practical experience with Infrastructure as Code tools, preferably Terraform, experience with CI/CD pipelines and deployment orchestration, experience designing scalable multi-tenant systems, strong understanding of API and platform architecture, solid Linux and networking fundamentals, experience with observability and monitoring solutions, experience building reusable self-service platform capabilities for developers, good English communication skills (at least B2 level). 🟣 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, experience with Internal Developer Platforms (IDP), experience building Kubernetes operators and controllers, experience with Backstage or developer portal tooling, experience in container runtime or platform engineering, knowledge of event-driven and distributed systems architecture, experience with service mesh technologies and OpenTelemetry. 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: Platform Engineer / DevOps role focused on building and standardizing multi-cloud Kubernetes environments using Infrastructure-as-Code. The position centers on Terraform-driven provisioning across AWS, Azure, and GCP, GitOps-based deployment automation, and enterprise-grade security and identity integration. The engineer supports internal and client environments, ensuring portable, secure, and reliable cloud-native deployments. 🗂️ Requirements: Strong Terraform experience across AWS Azure and GCP, Hands-on experience with EKS AKS and GKE, Practical knowledge of Kubernetes networking node pools workload identity private clusters ingress storage classes cluster upgrades, Experience with GitOps workflows and Helm release management, Experience with GitHub Actions and OIDC authentication, Experience with Terraform remote state management, Ability to deploy into secure enterprise environments with strict security audit and change-control requirements, Experience debugging Kubernetes CRDs RBAC networking DNS ingress and identity issues, Fluent English, EU residency and valid EU work authorization 📃 Skills: Terraform, Kubernetes, AWS, Azure, GCP, EKS, AKS, GKE, Helm, GitOps, GitHubActions, OIDC, OCI, AzureOpenAI, ACR, KeyVault, Postgres, Databricks, OpenTelemetry, RBAC, DNS, Ingress 🏢 Description: Join Our Team as a Platform Engineer / DevOps - Multi-Cloud IaC Are you a hands-on Infrastructure-as-Code expert who can provision real Kubernetes environments across AWS, Azure, and GCP, while keeping security, auditability, portability, and operational reliability in mind? PortBlueSky is supporting a major multinational enterprise in scaling a widely adopted open-source, Kubernetes-native agentic AI platform. We are looking for a Platform Engineer / DevOps specialist to provision internal environments and support multi-cloud client deployments, with a strong focus on Terraform, Kubernetes, GitOps, and cloud-native identity. This role is ideal for someone who can move between cloud infrastructure, CI/CD, Kubernetes debugging, deployment automation, and client advisory work. Role and Responsibilities As Platform Engineer / DevOps, you will: Provision internal and client environments: Build and maintain repeatable Kubernetes deployment environments across AWS, Azure, and GCP. Own multi-cloud IaC patterns: Use Terraform to define secure, maintainable, portable infrastructure for EKS, AKS, GKE, networking, storage, identity, and deployment dependencies. Build Azure parity: Help establish strong Azure deployment patterns, including AKS, Azure managed identity, Azure OpenAI, Azure networking, Azure Container Registry, Key Vault, Terraform, and GitHub Actions. Support enterprise deployment requirements: Work within client infrastructure constraints, including strict security, audit, change-control, network, registry, and identity requirements. Standardize deployment automation: Improve GitOps workflows, Helm release management, OCI chart/image handling, GitHub Actions/OIDC, Terraform remote state, environment promotion, and cluster bootstrap automation. Integrate with client stacks: Support deployment patterns for Databricks, S3-compatible storage, managed Postgres, OTEL, model gateways, private registries, and cloud-native secret systems. Debug practical failures: Resolve issues around CRDs not being established, unavailable APIService resources, webhook certificates, image pulls, RBAC denials, network policies, DNS, ingress, and cloud identity. Support forward-deployed engineering: Help client teams that lack internal Kubernetes, DevOps, or cloud-platform maturity adopt robust deployment patterns. What We Offer A technically challenging platform mission: Work on a real open-source platform being scaled for enterprise adoption across cloud providers and client-owned environments. A senior, developer-led culture: PortBlueSky publicly positions itself around top 1% technical experts, senior engineering talent, and challenging projects for leading corporations. Remote-first flexibility: Work in a remote-first setup with flexible conditions and a strong work-life balance. High ownership: Shape how environments are provisioned, promoted, secured, upgraded, and supported. Practical impact: Your work will directly affect whether the platform can be adopted by enterprise teams with confidence. About You You are an experienced Platform Engineer, DevOps Engineer, or Cloud Infrastructure Engineer with: Strong Terraform experience across AWS, Azure, and GCP. Hands-on experience with EKS, AKS, and GKE. Practical knowledge of Kubernetes networking, node pools, workload identity, private clusters, managed ingress, storage classes, and cluster upgrade workflows. Experience with GitOps, Helm release management, OCI charts/images, GitHub Actions/OIDC, Terraform remote state, and environment promotion. Experience deploying into client infrastructure or multi-cloud environments with security, audit, and change-control requirements. A preference for portable, vendor-agnostic patterns while still using native cloud identity and infrastructure where appropriate. Strong debugging skills and calmness under deployment pressure. Fluent English and comfort working in a distributed, international team. EU residency and permission to work in the EU. Nice to Have Deep Azure experience, especially AKS, managed identity, Azure OpenAI, Azure Container Registry, Key Vault, and private networking. Experience with Databricks, managed Postgres, OTEL, model gateways, private registries, or enterprise secrets management. Familiarity with agentic AI platforms, Kubernetes-native control planes, MCP/A2A flows, or workflow orchestration. Experience supporting enterprise clients in consulting, staff augmentation, or forward-deployed roles. Technologies & Tools You May Work With Terraform AWS / EKS Azure / AKS GCP / GKE Kubernetes Helm GitHub Actions / OIDC GitOps OCI registries Azure OpenAI Azure Container Registry Azure Key Vault Managed Postgres Databricks OpenTelemetry Private registries Cloud-native identity systems Ready to build the multi-cloud foundations for a serious enterprise AI platform? Apply now and help create deployment patterns that work across real-world client environments. Apply Now!

🏢 Summary: DevOps Engineer role focused on building, scaling, and securing cloud infrastructure while enabling efficient CI/CD workflows. The position involves managing Kubernetes-based environments on AWS, optimizing automation, and ensuring high availability and performance of systems. The role also includes infrastructure as code, monitoring, database management, and secure authentication integration. 🗂️ Requirements: BA/BS in technical field or equivalent experience, 5+ years in DevOps, SRE, or Infrastructure Engineering, Strong experience with Kubernetes, Deep knowledge of AWS core services, Experience with containerization technologies, Strong understanding of networking concepts, Proficiency with infrastructure-as-code tools, Experience with monitoring tools, Strong scripting or programming skills, Solid understanding of system security best practices 📃 Skills: Kubernetes, AWS, EC2, S3, IAM, RDS, Docker, Helm, Terraform, Pulumi, CloudFormation, Prometheus, Grafana, CloudWatch, Python, Bash, Go, PostgreSQL, SAML, OAuth2, OIDC, ELK, Loki, FluentBit, GitHubActions, Jenkins, CircleCI, Ansible, EKS, GKE 🏢 Description: We are looking for a skilled and driven DevOps Engineer to join our growing team. In this role, you will take ownership of building, maintaining, and scaling the infrastructure that powers our platform. You will ensure our systems are secure, performant, and highly available, while enabling seamless development and deployment workflows. Responsibilities: Design, implement, and manage scalable infrastructure using Kubernetes and AWS. Optimize CI/CD pipelines to improve build and deployment times and reduce friction. Monitor and troubleshoot infrastructure performance and availability. Manage and maintain relational databases, primarily PostgreSQL. Implement and support secure authentication systems using SSO protocols (e.g., SAML, OIDC, OAuth2). Enhance infrastructure as code using tools like Terraform and Ansible. Ensure security best practices are applied across all infrastructure components. Collaborate cross-functionally with development, QA, and product teams. Drive automation of operational tasks to increase team efficiency and reduce manual toil. Required Skills: BA/BS in a technical or engineering discipline or equivalent experience 5+ years of experience in a DevOps, SRE, or Infrastructure Engineering role. Strong experience with Kubernetes (EKS, GKE, or self-managed). Deep knowledge of AWS core services (EC2, S3, IAM, RDS, etc.). Knowledge of containerization technologies (e.g., Docker, Kubernetes, Helm) Solid understanding of networking concepts (VPCs, subnets, routing, firewalls, DNS). Proficiency with infrastructure-as-code tools (Terraform, Pulumi, or CloudFormation). Comfortable with monitoring tools (Prometheus, Grafana, CloudWatch, etc.). Strong scripting or programming ability (Python, Bash, or Go). Solid understanding of system security and best practices. Preferred Skills: Familiarity with SSO protocols such as SAML, OAuth2, and OpenID Connect. Experience managing and tuning PostgreSQL in production environments. Exposure to log aggregation tools (ELK, Loki, or Fluent Bit). Experience with CI/CD tools like GitHub Actions, Jenkins, or CircleCI. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits

🏢 Summary: Long-term remote contract for a Platform Engineer/SRE to design, automate, and scale Azure-based infrastructure with a strong focus on AKS and large-scale observability. The role involves building and maintaining cloud-native platforms, managing Prometheus/Thanos at scale, and implementing Infrastructure as Code and CI/CD automation. The engineer will ensure secure, reliable networking and support further platform growth. 🗂️ Requirements: Minimum 5 years experience as Platform Engineer or SRE, Hands-on production experience with Azure, Hands-on production experience with AKS, Experience with Terraform, Experience with CI/CD pipelines (GitHub Actions or Azure DevOps), Experience operating Prometheus and Thanos at scale, Knowledge of Grafana and observability ecosystems, Strong understanding of cloud networking, Understanding of security best practices, Python for automation 📃 Skills: Azure, AKS, Terraform, CI/CD, GitHub, AzureDevOps, Prometheus, Thanos, Grafana, Docker, Kubernetes, Python, Ansible, Puppet, Networking 🏢 Description: We are looking for: Platform Engineer / SRE General info: Location:100% remote Start: ASAP Duration: long term General info: contract, full-time Rate: 190 - 230 PLN/h Responsibilities: Design and automate platform infrastructure in the Azure environment, primarily based on AKS. Configure and scale workloads, including APIs, databases, and processing components. Build and maintain integrations and architectural patterns connecting dozens of system components. Manage hundreds of Prometheus/Thanos instances and prepare the platform for further large-scale growth. Implement and maintain Infrastructure as Code using Terraform, CI/CD pipelines, Docker/Kubernetes, and Python-based automation. Design and manage networking at the architectural level, ensuring secure and reliable communication between platform components. Requirements: Minimum 5 years of experience in a Platform Engineer or Site Reliability Engineer (SRE) role. Hands-on experience with Azure and AKS in production environments. Good knowledge of Grafana and the broader observability ecosystem. Experience with Terraform and CI/CD pipelines (GitHub Actions and/or Azure DevOps). Experience operating Prometheus and Thanos at scale. Solid understanding of cloud networking fundamentals and security best practices. Python skills for automation; experience with Ansible or Puppet is a plus.

🏢 Summary: This role focuses on building and improving internal developer platforms to enable fast, secure, and scalable onboarding of services and data pipelines. It involves creating and maintaining developer portals, service catalogs, reusable deployment templates, and implementing standardized CI/CD and GitOps workflows. The position also integrates observability, resilience patterns, and automated SDK generation into shared platform components. 🗂️ Requirements: Strong experience with Kubernetes, Strong experience with Docker, Strong experience with GitOps, Strong experience with CI/CD pipelines, Proficiency in Go or Python, Experience with developer portals, Experience with service catalogs, Experience with SDK generation pipelines, Familiarity with Azure Kubernetes Service (AKS), Familiarity with Azure DevOps or GitHub Actions, Familiarity with Terraform or Bicep 📃 Skills: Kubernetes, Docker, GitOps, CI/CD, Go, Python, ArgoCD, Flux, OpenTelemetry, AKS, Azure, AzureDevOps, GitHubActions, Terraform, Bicep 🏢 Description: Core purpose: The goal of this role is to enhance developer experience and platform tooling, enabling fast, secure, and scalable onboarding of services and data pipelines. Key responsibilities: Build and maintain a developer portal, service catalog, and reusable deployment templates, including automated SDK generation from schema definitions. Implement CI/CD standards, GitOps workflows (ArgoCD/Flux), and deployment strategies such as canary and A/B releases. Integrate observability and distributed tracing (OpenTelemetry) into platform libraries and shared components. Provide reusable resilience primitives (retries, circuit breakers, flow control) within shared platform libraries. Requirements: Strong experience with Kubernetes, Docker, GitOps, and CI/CD pipelines. Proficiency in Go or Python for platform engineering and tooling development. Experience with developer portals, service catalogs, and SDK generation pipelines. Familiarity with Azure Kubernetes Service (AKS), Azure DevOps or GitHub Actions, and Terraform/Bicep

🏢 Summary: The offer is for an AI DevOps Lead Engineer responsible for designing and managing cloud infrastructure on Azure and GCP with a strong focus on Infrastructure as Code and CI/CD automation. The role involves leading infrastructure initiatives, administering Kubernetes clusters, and implementing secure, scalable, and resilient cloud solutions. It is a long-term B2B contract with a hybrid work model in Cracow. 🗂️ Requirements: 4+ years experience in DevOps, SRE, or Cloud Engineering, Strong knowledge of Linux/UNIX systems, Production experience with GCP and/or Azure, Experience managing GKE and/or AKS clusters, Proficiency in Infrastructure as Code with Terraform, Experience building and maintaining CI/CD pipelines with Jenkins, Scripting skills in Python and/or Bash 📃 Skills: GCP, Azure, GKE, AKS, Terraform, Jenkins, Python, Bash, Linux, UNIX, CI/CD, IaC 🏢 Description: We are seeking an accomplished AI DevOps Lead Engineer with a strong foundation in cloud infrastructure management and DevOps practices. The ideal candidate will have over 4 years of experience in DevOps, SRE, or Cloud Engineering roles, with a proven record of designing and implementing robust cloud solutions, particularly on GCP and Azure platforms. Strong expertise in Infrastructure as Code (IaC) and CI/CD pipeline management is imperative, along with scripting capabilities in Python and Bash. What we offer: Long Term B2B Contract Rate: 200 PLN/ H +VAT Hybrid Cracow ( 1-2 times per week) Main Responsibilities: Design, build, and manage core infrastructure on Azure using IaC principles. Administer and enhance GKE and AKS clusters, ensuring security, scalability, and resilience. Evolve Jenkins pipelines and developer tooling for improved automation and efficiency. Implement security controls and automate vulnerabilities remediation. Develop a robust monitoring and alerting framework for operational visibility. Implement security gateways for improved governance. Key Requirements: 4+ years of experience in a DevOps, SRE, or Cloud Engineering role. Deep knowledge of Linux/UNIX operating systems. Production experience with GCP and/or Azure, including management of clusters (GKE, AKS). Strong proficiency with Infrastructure as Code using Terraform. Proven experience with CI/CD pipeline development using Jenkins. Scripting and automation skills in Python and/or Bash. Nice to Have: Experience with monitoring tools like Prometheus, Grafana, and Loki. Familiarity with container management using Docker. Knowledge of additional cloud services and platforms.