Platform Engineer / DevOps - Multi-Cloud IaC

🏢 Summary: Offer for a DevOps Engineer focused on designing and implementing scalable, automated cloud infrastructures in Microsoft Azure. The role involves building and maintaining CI/CD pipelines in Azure DevOps, managing Infrastructure as Code, and automating cloud deployments. You will also oversee production environments, ensuring performance, security, and high availability. 🗂️ Requirements: Very good knowledge of Azure including Azure DevOps, Azure Entra ID, ARM Templates, Experience with containers and Kubernetes, Experience with Infrastructure as Code tools: Terraform, ARM, Bicep, Ansible, Strong knowledge of Git and Gitflow, Experience with Azure DevOps for CI/CD design and maintenance, Experience with Bitbucket Server and Gitflow Workflow, Experience with Jira and Confluence, Experience in automation of cloud deployments, Experience in building and maintaining web applications, Knowledge of Linux systems 📃 Skills: Azure, AzureDevOps, EntraID, ARM, Terraform, Ansible, Bicep, Kubernetes, Containers, Git, Gitflow, Bitbucket, Jira, Confluence, Linux, OCI, IaC, CICD 🏢 Description: Dołącz do nas jako DevOps Engineer i stań się kluczowym ogniwem w tworzeniu nowoczesnych, skalowalnych i w pełni zautomatyzowanych rozwiązań chmurowych! Będziesz projektować i wdrażać infrastruktury w chmurze, tworzyć i rozwijać procesy CI/CD w Azure DevOps, automatyzować wdrożenia przy użyciu ARM, Terraform, Ansible i Bicep oraz zarządzać środowiskami produkcyjnymi, dbając o ich wydajność, bezpieczeństwo i dostępność. Jeśli fascynują Cię kontenery, Kubernetes i nowoczesne technologie chmurowe, chcesz rozwijać swoje umiejętności w dynamicznym zespole Agile i mieć realny wpływ na działanie systemów, to jest miejsce właśnie dla Ciebie! W naszej firmie zyskasz możliwość pracy w innowacyjnym środowisku, hybrydowy model pracy, atrakcyjne wynagrodzenie oraz pakiet benefitów, które sprawiają, że codzienna praca w chmurze staje się przyjemnością. Twój zakres obowiązków Analiza sytuacji i wymagań w zakresie automatyzacji procesów i wdrożeń w chmurze. Dobór odpowiednich narzędzi i procesów do wsparcia automatyzacji i optymalizacji procesów CI/CD Projektowanie i tworzenie rozwiązań CI/CD w Azure DevOps Tworzenie skryptów infrastruktury jako kod (IaC) w technologii ARM i innych narzędziach takich jak Terraform i Ansible Monitorowanie systemów i aplikacji w celu zapewnienia ich dostępności, wydajności i bezpieczeństwa. Automatyzacja procesów wdrożeniowych oraz zarządzanie środowiskami produkcyjnymi w chmurze. Nasze wymagania Bardzo dobra znajomość chmury Azure w tym Azure DevOps, Azure Entra ID, ARM Templates Doświadczenie w pracy z kontenerami oraz orkiestracją kontenerów (Kubernetes). Bardzo dobra znajomość narzędzi takich jak Git, Git Flow oraz Azure DevOps. Doświadczenie w wykorzystaniu Infrastructure as Code (IaC), w tym Terraform, ARM Templates, Bicep, Ansible. Znajomość narzędzi do zarządzania projektami, takie jak Jira i Confluence, oraz doświadczenie z Gitflow Workflow przy użyciu Bitbucket Server. Doświadczenie w tworzeniu, rozwoju i utrzymaniu aplikacji webowych. Umiejętność projektowania i tworzenia rozwiązań CI/CD w Azure DevOps. Doświadczenie w automatyzacji wdrożeń technologii chmurowych. Znajomość systemów Linux Mile widziane Doświadczenie z chmurą OCI (Oracle Cloud Infrastructure). Znajomość narzędzi Atlassian (Jira, Confluence). Certyfikaty Microsoft Azure (np. Microsoft Certified: Azure Administrator Associate) Certyfikaty DevOps (np. Certified Kubernetes Aministrator To oferujemy Zatrudnienie w oparciu o umowę o pracę lub kontrakt B2B. Sprawny proces rekrutacyjny. Możliwość pracy w systemie hybrydowym. Atrakcyjne wynagrodzenie oparte o wykształcenie i doświadczenie. Świetne połączenie komunikacyjne biura. Prywatną opiekę medyczną. MultiSport. Wsparcie socjalne. Wczasy pod gruszą

🏢 Summary: Role focused on designing, implementing and automating scalable cloud infrastructure in Azure with strong emphasis on CI/CD and Infrastructure as Code. The position involves managing production environments, optimizing performance and security, and working with containers and Kubernetes in an Agile team. 🗂️ Requirements: Very good knowledge of Microsoft Azure including Azure DevOps, Azure Entra ID, ARM Templates, Experience with containers and Kubernetes, Experience with Infrastructure as Code (Terraform, ARM, Bicep, Ansible), Ability to design and implement CI/CD pipelines in Azure DevOps, Strong knowledge of Git and Gitflow workflow, Experience in automating cloud deployments, Experience in managing production cloud environments, Knowledge of Linux systems, Experience with web application development 📃 Skills: Azure, AzureDevOps, AzureEntraID, ARM, Terraform, Ansible, Bicep, Kubernetes, Docker, Git, Gitflow, Bitbucket, Jira, Confluence, Linux, OCI 🏢 Description: Dołącz do nas jako DevOps Engineer i stań się kluczowym ogniwem w tworzeniu nowoczesnych, skalowalnych i w pełni zautomatyzowanych rozwiązań chmurowych! Będziesz projektować i wdrażać infrastruktury w chmurze, tworzyć i rozwijać procesy CI/CD w Azure DevOps, automatyzować wdrożenia przy użyciu ARM, Terraform, Ansible i Bicep oraz zarządzać środowiskami produkcyjnymi, dbając o ich wydajność, bezpieczeństwo i dostępność. Jeśli fascynują Cię kontenery, Kubernetes i nowoczesne technologie chmurowe, chcesz rozwijać swoje umiejętności w dynamicznym zespole Agile i mieć realny wpływ na działanie systemów, to jest miejsce właśnie dla Ciebie! W naszej firmie zyskasz możliwość pracy w innowacyjnym środowisku, hybrydowy model pracy, atrakcyjne wynagrodzenie oraz pakiet benefitów, które sprawiają, że codzienna praca w chmurze staje się przyjemnością. Twój zakres obowiązków Analiza sytuacji i wymagań w zakresie automatyzacji procesów i wdrożeń w chmurze. Dobór odpowiednich narzędzi i procesów do wsparcia automatyzacji i optymalizacji procesów CI/CD Projektowanie i tworzenie rozwiązań CI/CD w Azure DevOps Tworzenie skryptów infrastruktury jako kod (IaC) w technologii ARM i innych narzędziach takich jak Terraform i Ansible Monitorowanie systemów i aplikacji w celu zapewnienia ich dostępności, wydajności i bezpieczeństwa. Automatyzacja procesów wdrożeniowych oraz zarządzanie środowiskami produkcyjnymi w chmurze. Nasze wymagania Bardzo dobra znajomość chmury Azure w tym Azure DevOps, Azure Entra ID, ARM Templates Doświadczenie w pracy z kontenerami oraz orkiestracją kontenerów (Kubernetes). Bardzo dobra znajomość narzędzi takich jak Git, Git Flow oraz Azure DevOps. Doświadczenie w wykorzystaniu Infrastructure as Code (IaC), w tym Terraform, ARM Templates, Bicep, Ansible. Znajomość narzędzi do zarządzania projektami, takie jak Jira i Confluence, oraz doświadczenie z Gitflow Workflow przy użyciu Bitbucket Server. Doświadczenie w tworzeniu, rozwoju i utrzymaniu aplikacji webowych. Umiejętność projektowania i tworzenia rozwiązań CI/CD w Azure DevOps. Doświadczenie w automatyzacji wdrożeń technologii chmurowych. Znajomość systemów Linux Mile widziane Doświadczenie z chmurą OCI (Oracle Cloud Infrastructure). Znajomość narzędzi Atlassian (Jira, Confluence). Certyfikaty Microsoft Azure (np. Microsoft Certified: Azure Administrator Associate) Certyfikaty DevOps (np. Certified Kubernetes Aministrator To oferujemy Zatrudnienie w oparciu o umowę o pracę lub kontrakt B2B. Sprawny proces rekrutacyjny. Możliwość pracy w systemie hybrydowym. Atrakcyjne wynagrodzenie oparte o wykształcenie i doświadczenie. Świetne połączenie komunikacyjne biura. Prywatną opiekę medyczną. MultiSport. Wsparcie socjalne. Wczasy pod gruszą

🏢 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: The role involves designing and building an internal developer platform that enables self-service cloud infrastructure provisioning and automation. The engineer will automate infrastructure workflows and manage Kubernetes-based deployments on AWS to reduce operational overhead. The position focuses on scalable, secure, and reliable platform engineering across the full cloud infrastructure stack. 🗂️ Requirements: Strong experience with AWS, Solid knowledge of Kubernetes (EKS), Hands-on experience with Jenkins, Proficiency in Terraform, Scripting skills in Groovy, Scripting skills in Bash, Experience with CI/CD pipelines, Understanding of reverse proxies and CDNs, Knowledge of object storage and serverless architectures, Experience with messaging or streaming platforms 📃 Skills: AWS, Kubernetes, EKS, Jenkins, Terraform, Groovy, Bash, Helm, Docker, Nginx, CloudFront, S3, Lambda, Kafka, Cloudflare 🏢 Description: We are looking for a skilled DevOps / Platform Engineer to design and build an internal developer platform that streamlines how engineering teams interact with cloud infrastructure. The primary goal of this initiative is to reduce manual effort for operations teams by enabling self-service infrastructure provisioning and automation. Responsibilities Design, build, and maintain a self-service platform that allows developers to provision and manage cloud resources independently Automate infrastructure workflows using Jenkins pipelines written in Groovy, orchestrating Terraform code Develop and manage Helm charts for deploying applications on Kubernetes clusters (EKS) Collaborate across teams to design scalable, secure, and efficient infrastructure solutions Work across the full infrastructure stack, including web servers, CDN, storage, serverless, and streaming systems Continuously improve platform reliability, usability, and automation capabilities Requirements Strong experience with AWS as a primary cloud platform Solid knowledge of Kubernetes (EKS) and containerized workloads Hands-on experience with Jenkins for CI/CD and automation pipelines Proficiency in Terraform for infrastructure as code Scripting skills in Groovy and Bash Good understanding of modern infrastructure components such as reverse proxies, CDNs, object storage, serverless computing, and messaging/streaming platforms Nice to Have Experience with tools and technologies such as Nginx, CloudFront, S3, Lambda, Kafka, or Cloudflare Experience building internal developer platforms or platform engineering practices Strong problem-solving skills and ability to work across distributed systems

🏢 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: 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

🏢 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: Hands-on Lead Cloud Platform Engineer role focused on owning, securing, automating, and optimizing an Azure-based SaaS and AI infrastructure, including Azure Databricks and DevSecOps practices. The position covers end-to-end cloud governance, Kubernetes operations, CI/CD, security, and cost optimization in a large-scale data environment. This is a senior technical role with potential growth into technical or people leadership. 🗂️ Requirements: 7+ years in DevOps/Cloud/Platform/Infrastructure engineering, 4+ years hands-on Azure production experience, Strong Azure governance, RBAC, policies, networking, storage, monitoring, security, Experience with Entra ID and Microsoft 365 administration, Production Kubernetes experience (AKS preferred), Experience managing Azure Databricks infrastructure, CI/CD experience with Azure DevOps and/or GitHub Actions, Scripting skills (PowerShell, Azure CLI, Bash, or Python), Knowledge of cloud security principles (least privilege, secrets management, encryption, auditability), Ability to work independently and drive platform improvements 📃 Skills: Azure, Databricks, DevSecOps, AKS, Kubernetes, EntraID, Microsoft365, AzureDevOps, GitHubActions, Terraform, Bicep, ARM, PowerShell, AzureCLI, Bash, Python, ADLS, Blob, AzureSQL, KeyVault, VNets, DNS, NSG, RBAC, CI/CD, FinOps, Defender, SOC2 🏢 Description: An AI-powered consumer intelligence platform is hiring a Lead Cloud Platform Engineer (Azure, Databricks & DevSecOps). Our platform processes 50+ billion data points monthly to deliver actionable insights for leading global brands, such as Coca-Cola, Unilever, and Bayer. We run on Azure, Databricks, and GenAI workflows, and we're scaling our platform for faster delivery, stronger security, and tighter cost discipline. The Role We're hiring a hands-on cloud platform leader to own, secure, automate, and optimize our Azure-based SaaS and AI infrastructure end to end. You'll own Azure administration, Entra ID and Microsoft 365, networking, storage, Kubernetes, security, CI/CD, and FinOps, plus the cloud platform layer around Azure Databricks (networking, identity, secure access, compute governance, monitoring, and cost control). This is a hands-on role first, with a clear path to technical or people leadership as the company grows. What You'll Do • Own Azure subscriptions, governance, networking (VNets, private endpoints, DNS, NSGs), storage (ADLS Gen2, Blob), Azure SQL, Key Vault, and monitoring across all environments. • Administer Entra ID and Microsoft 365 - identities, MFA, Conditional Access, least-privilege access, and joiner/mover/leaver processes. • Manage Azure Databricks infrastructure and security: secure connectivity, networking, identity integration, compute policies, audit logging, and cost controls. • Build and improve CI/CD (Azure DevOps, GitHub Actions) and introduce Infrastructure as Code (Terraform, Bicep, or ARM) to replace manual portal changes. • Operate and secure Kubernetes/AKS environments and supporting application infrastructure. • Strengthen security and DevSecOps posture; support SOC 2 evidence, security questionnaires, and enterprise reviews. • Build monitoring, dashboards, runbooks, and incident response across the platform. • Drive Azure and Databricks cost optimization through tagging, budgets, alerts, and compute tuning. What You'll Bring: Required Qualifications • 7+ years in DevOps, Cloud, Platform, Infrastructure, or Systems Engineering, including 4+ years hands-on with Azure in production. • Strong Azure depth: subscriptions, RBAC, policies, networking, storage, monitoring, and security. • Solid experience with Entra ID and Microsoft 365 administration. • Production Kubernetes experience (AKS preferred). • Experience managing or supporting Azure Databricks infrastructure (workspace admin, compute, networking, secure storage access, identity, audit logging). • CI/CD experience with Azure DevOps and/or GitHub Actions, plus scripting (PowerShell, Azure CLI, Bash, or Python). • Strong grasp of cloud security: least privilege, secrets management, encryption, and auditability. • Proven ability to work independently, create structure, and drive improvements with minimal supervision. Nice to Have: Preferred Qualifications Experience in AI, data, analytics, or SaaS environments; Infrastructure as Code (Terraform, Bicep); SOC 2 / ISO 27001 / GDPR; Microsoft Defender for Cloud and DevSecOps tooling; FinOps and Databricks cost optimization; and working with distributed or offshore teams. What This Role Is Not This role is not a pure CI/CD role, a helpdesk-only M365 admin role, a Databricks notebook developer, a data engineering role, or a people-management role. The Opportunity • Long-term B2B contract opportunity • High Impact: We’re backed by world-class investors and work with the most iconic global consumer brands. • You’ll have ownership, with a clear path to technical or people leadership as the company grows..

🏢 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 DevOps Engineer responsible for designing, building, and operating containerized and serverless workloads on AWS using ECS, EKS, Lambda, and Step Functions. The role focuses on infrastructure as code with Terraform and Helm, CI/CD pipeline implementation, and maintaining production systems in an Agile environment. It includes both greenfield development and ongoing operational support. 🗂️ Requirements: 3+ years of DevOps or relevant experience, Hands-on experience with AWS ECS (Fargate/EC2), Hands-on experience with AWS EKS and Kubernetes cluster operations, Hands-on experience with AWS Lambda, Hands-on experience with AWS Step Functions, Experience with Terraform including reusable modules and state management, Experience with Helm for Kubernetes deployments, Experience establishing and maintaining CI/CD pipelines, Proficiency with Git, Experience with JIRA, Working knowledge of MySQL, MSSQL, Oracle, Postgres, Working knowledge of Windows and Linux, Upper-intermediate English level 📃 Skills: AWS, ECS, EKS, Kubernetes, Lambda, StepFunctions, Terraform, Helm, CI/CD, Git, JIRA, MySQL, MSSQL, Oracle, Postgres, Windows, Linux 🏢 Description: ID62599 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a DevOps Engineer to design, build, and operate containerized and serverless workloads on AWS, working across ECS, EKS, Lambda, and Step Functions. You will implement infrastructure as code with Terraform and Helm, establish and maintain CI/CD pipelines, and provide technical mentorship while resolving complex infrastructure challenges. The role spans both greenfield prototyping and support of existing production systems in an Agile environment. What you will do Support and improve existing functionality; Prototype new solutions; Provide technical mentorship to your colleagues; Analyze and resolve intricate technical challenges; Design, build, and operate containerized and serverless workloads on AWS; Implement Infrastructure as Code and repeatable deployments for Kubernetes and serverless stacks; Establish and maintain CI/CD pipelines, monitoring, and operational runbooks. Must haves 3+ years of experience ; Hands-on AWS experience building and operating workloads with ECS (Fargate/EC2) for container orchestration; Hands-on AWS experience with EKS (Kubernetes) , including core K8s primitives and cluster operations; Hands-on AWS Lambda experience for serverless compute; Hands-on experience with AWS Step Functions for workflow/orchestration; Infrastructure as Code with Terraform , including writing reusable modules, workspaces, and state management; Experience with Helm , including authoring and maintaining charts for Kubernetes deployments; Proficient in using software collaboration tools such as JIRA ; Working knowledge of various databases, including MySQL , MSSQL , Oracle , and Postgres ; Working knowledge of various operating systems, including Windows and Linux ; Proficient in version control software such as Git ; Basic understanding of Agile Scrum methodologies; Excellent oral and written communication skills; Ability to work independently as well as within a collaborative environment; Upper-intermediate English level. Nice to haves Working knowledge of developing web-based client interfaces using React.js + TS ; Working knowledge of Java and Spring . The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!