Senior AI Devops Engineer

🏢 Summary: DevOps Engineer role within a centralised Markets Technology team supporting a large-scale transformation programme. The position focuses on migrating and standardising 90+ applications, modernising infrastructure, and improving CI/CD and platform practices across teams. The role drives Kubernetes adoption, workflow modernisation, and automation of DevOps processes in a complex enterprise environment. 🗂️ Requirements: Strong DevOps or platform engineering experience in large enterprise environments, Experience with Java-based application ecosystems, Experience deploying and managing applications on Linux (Red Hat preferred), Hands-on experience with Kubernetes in enterprise settings, Experience with CI/CD tooling (Azure DevOps preferred), Experience supporting multiple applications or cross-team environments, Experience with workflow tools such as Control-M or Airflow, Experience automating DevOps processes using AI 📃 Skills: DevOps, PlatformEngineering, Java, Linux, RedHat, Kubernetes, AzureDevOps, CICD, ControlM, Airflow, AI 🏢 Description: Overview A leading international financial institution is undertaking a large-scale transformation across Markets Technology, driven by a combination of infrastructure modernisation, application migration and a broader push to improve engineering efficiency. As part of this initiative, a centralised DevOps capability is being established to support the migration and standardisation of a complex estate of applications, while introducing more efficient and scalable ways of working across teams. This role will sit within a newly formed central team, working across multiple Markets Technology groups to accelerate delivery, reduce duplication and improve the end-to-end software delivery lifecycle. Project Context The team will support a multi-year programme focused on: Migration of approximately 90+ applications across Markets Technology Transition to new data centre environments as part of the GDC West programme Adoption of a standardised internal Kubernetes platform Migration to new object storage solutions and infrastructure models Replacement of existing workflow and scheduling tools (including Control-M) with modern alternatives such as Airflow Consolidation of DevOps practices across teams to avoid duplication and inconsistency Technical Requirements Strong DevOps or platform engineering experience within a large, complex environment Solid exposure to Java-based application ecosystems Experience deploying and managing applications on Linux (preferably Red Hat) Experience working with Kubernetes in an enterprise setting Hands-on experience with CI/CD tooling (Azure DevOps preferred) Experience supporting multiple applications or working across teams rather than within a single isolated product Experience with workflow tools such as Control-M or Airflow Experience automating DevOps processes and workflows using AI

🏢 Summary: DevOps Engineer role focused on designing and maintaining AI-driven CI/CD pipelines and deploying machine learning models across cloud and hybrid environments. The position involves integrating AI/ML tools into DevOps processes, optimizing infrastructure for AI workloads, and ensuring security and high availability. The engineer will work with modern cloud platforms and data technologies in international, agile projects. 🗂️ Requirements: Bachelor’s degree in Engineering, IT, Science or related field, Minimum 5 years of experience in DevOps or similar role, Hands-on experience with DevOps tools in AI/ML workflows, Experience with cloud platforms and AI/ML services, Experience deploying and scaling ML models in production, Proficiency in scripting or programming languages, Experience implementing automated testing for AI workflows, Knowledge of secure environments for AI-driven systems 📃 Skills: Jenkins, GitHubActions, Kubernetes, Docker, Terraform, AWS, Azure, GCP, MLflow, Kubeflow, Airflow, Python, Bash, YAML, TensorFlow, PyTorch, Scikit-learn, Grafana, AIOps 🏢 Description: About the role As a DevOps Engineer with AI integration skills, you will collaborate across multiple implementation streams and work closely with agile teams to achieve project and client goals. We are looking for passionate engineers ready to move our projects to the next level by leveraging modern technology stacks and AI-driven solutions. You will participate in international projects based on the latest data technologies and cloud platforms. Your key responsibilities Design and maintain CI/CD pipelines incorporating AI/ML tools and frameworks. Collaborate with AI teams to deploy and scale machine learning models in production environments. Integrate AI-based monitoring, alerting, and analytics tools to improve pipeline visibility and enable predictive analysis. Optimize infrastructure resource utilization for AI applications across cloud, on-premises, and hybrid environments. Ensure strong security practices within AI-driven pipeline ecosystems. Troubleshoot pipeline and infrastructure issues, especially those involving AI components, and ensure high availability. Monitor system performance and implement improvements using AI-enhanced tools. Skills and attributes for success Hands-on experience with DevOps tools such as Jenkins, GitHub Actions, Kubernetes, Docker, and Terraform. Strong understanding of cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services. Familiarity with AI workflow tools such as MLflow, Kubeflow, or Airflow. Proficiency in scripting and programming languages (Python, Bash, YAML, etc.). Ability to implement automated testing frameworks for validating AI models and workflows. Experience building secure environments for AI-driven systems. Experience integrating AI-powered monitoring tools (AIOps, Grafana with ML plugins, or custom AI diagnostics). Requirements Bachelor’s degree in Engineering, IT, Science, or a related technical field. At least 5 years of experience in a corporate IT environment in a similar role. Proven experience with DevOps tools and frameworks used in AI/ML workflows. Strong communication skills and ability to collaborate with global teams. Nice to have Certifications in DevOps or AI/ML (e.g., Kubernetes, AWS Machine Learning Specialty). Experience working with AIOps platforms. Knowledge of specialized data pipeline automation tools for machine learning. Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn in production environments.

🏢 Summary: Senior GCP & Kubernetes DevOps Engineer role focused on migrating 100+ microservices to Google Cloud Platform and operating a scalable, production-ready Kubernetes platform. The position centers on building CI/CD pipelines, implementing observability, and ensuring reliability and security of containerized Java and Python services. It combines hands-on platform engineering with support for large-scale cloud transformation in a global environment. 🗂️ Requirements: 5+ years hands-on Kubernetes experience (preferably GKE), Experience operating or migrating large-scale microservices platforms, Strong support experience with Java and Python microservices on Kubernetes, Experience building CI/CD pipelines for containerized applications, Hands-on Infrastructure as Code experience (Terraform preferred), Experience with monitoring, observability and distributed tracing tools, Knowledge of incident management and production support practices, Fluent English, Legal right to work in the European Union 📃 Skills: GCP, GKE, Kubernetes, Docker, Helm, Terraform, CI/CD, Prometheus, Grafana, Loki, Tempo, Java, Python, Istio, IAM, VPC 🏢 Description: Unleash Innovation in Cloud DevOps — Transform Microservices into Scalable Powerhouses on GCP! Krakow-based opportunity with hybrid work model (up to 3 remote days per week). As a Senior GCP & Kubernetes DevOps Engineer , you will be working for our client, a leading financial technology organization driving large-scale digital transformation within Global Markets Technology. You will support a major migration project involving over 100 microservices to Google Cloud Platform (GCP), focusing on Kubernetes, observability, and platform reliability. This role offers an exciting opportunity to shape resilient, production-ready infrastructure while fostering innovation and continuous improvement. Your main responsibilities: Engineer and operate the target platform on GCP/GKE to support the migration of 100+ microservices. Partner with application delivery teams to onboard services onto Kubernetes, including deployment patterns, configuration, and operational readiness. Provide hands-on support deploying Java and Python microservices into Kubernetes (using manifests/Helm, config, secrets, scaling, health checks). Build and standardise CI/CD pipelines for containerised workloads, ensuring security and reliability. Implement observability solutions: metrics, logs, distributed tracing (preferably Grafana stack), dashboards, alerting, and SLO reporting. Drive platform reliability and support: incident management, root cause analysis, and preventative enhancements. Identify and address technical debt; propose platform improvements to reduce operational toil and enhance developer experience. Ensure solutions comply with security controls, operational guidelines, and technology standards. Collaborate effectively within a global, dispersed team, sharing knowledge and best practices. You're ideal for this role if you have: A minimum of 5 years of hands-on experience with Kubernetes, ideally GKE, including deployment, ingress, configuration, and troubleshooting. Proven experience migrating or operating microservices platforms at scale. Strong expertise supporting Java and Python microservices within Kubernetes environments. In-depth knowledge of monitoring, observability, and tracing tools, preferably Grafana stacks (e.g., Prometheus, Loki, Tempo). Experience building and maintaining CI/CD pipelines for containerised applications. Skills in Infrastructure as Code (Terraform preferred) and automated environment provisioning. A solid production mindset: reliability, incident response, and continuous improvement. Ability to work effectively with local and global teams, with excellent written and spoken English. A delivery-driven and pragmatic approach, balancing speed, control, and risk management. Open-minded, eager to learn, and capable of guiding colleagues as needed. It is a strong plus if you have: Experience with GCP services supporting GKE (IAM, VPC, Cloud Logging/Monitoring, Artifact Registry). Helm chart development and standardisation across teams. Service mesh experience (Istio) and ingress patterns. Knowledge of security tooling (container scanning, policy-as-code, workload identity). Previous experience with cloud migration or platform engineering projects. Familiarity with Javascript/Vue. Language Required for the role: Fluent English, both written and spoken. Eligibility for the 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: Senior DevOps Engineer role focused on owning and evolving cloud-native infrastructure and CI/CD platforms that support large-scale data processing systems. The position combines hands-on engineering and strategic impact to ensure scalable, secure, and reliable production environments. You will design, automate, and optimize platform services enabling efficient delivery of data-driven applications. 🗂️ Requirements: 5+ years in DevOps, SRE, or infrastructure engineering, Experience supporting distributed production systems, Hands-on experience with public cloud platforms, Strong knowledge of containerization and orchestration, Experience with infrastructure as code, Strong scripting or programming skills, Experience building and maintaining CI/CD pipelines, Knowledge of observability practices and tools, Strong troubleshooting and incident response skills in Linux environments 📃 Skills: AWS, Docker, Kubernetes, Terraform, Python, Bash, CI/CD, Linux, Monitoring, Logging, Alerting 🏢 Description: Senior DevOps Engineer We are looking for an experienced engineer to take ownership of our infrastructure and platform ecosystem, supporting large-scale data processing systems and enabling efficient, reliable software delivery. This role combines hands-on engineering with strategic impact — you will design, build, and evolve the platform that underpins data pipelines and production services, ensuring scalability, security, and operational excellence across environments. Key Responsibilities Own and evolve CI/CD and automation platforms to support fast and reliable delivery of data-driven applications Design and manage cloud-native infrastructure supporting high-volume data ingestion, processing, and serving Build and maintain infrastructure as code to ensure consistency and scalability across environments Manage containerized environments and orchestration platforms to deliver resilient and scalable services Implement observability solutions (monitoring, logging, alerting) to ensure full system visibility and reliability Automate deployment processes, configuration management, and system recovery workflows Collaborate with engineering, data, and compliance teams to deliver secure and production-ready solutions Drive incident management practices and continuous improvement initiatives Contribute to platform strategy, tooling decisions, and mentoring within the team Requirements 5+ years of experience in DevOps, SRE, or infrastructure engineering roles Strong experience supporting production systems in distributed environments Hands-on experience with public cloud platforms (AWS or similar) Solid knowledge of containerization and orchestration technologies (Docker, Kubernetes) Experience with infrastructure as code tools (e.g., Terraform) Strong scripting/programming skills (Python, Bash, or similar) Experience building and maintaining CI/CD pipelines and automation tooling Knowledge of observability practices and tools Strong troubleshooting and incident response skills in Linux environments Excellent communication skills and ability to work cross-functionally Nice to Have Experience working with large-scale data platforms Exposure to regulated environments or compliance requirements Experience contributing to platform or engineering standards

🏢 Summary: Senior DevOps Engineer role focused on owning and evolving cloud-native infrastructure and CI/CD platforms supporting large-scale data processing systems. The position combines hands-on engineering with strategic platform development to ensure scalable, secure, and reliable production environments. You will design, automate, and maintain infrastructure and observability solutions across distributed systems. 🗂️ Requirements: 5+ years in DevOps, SRE, or infrastructure engineering, Experience supporting production systems in distributed environments, Hands-on experience with public cloud platforms (AWS or similar), Strong knowledge of Docker and Kubernetes, Experience with infrastructure as code tools (Terraform), Strong scripting/programming skills (Python or Bash), Experience building and maintaining CI/CD pipelines, Knowledge of observability, monitoring, and logging tools, Strong troubleshooting and incident response skills in Linux environments 📃 Skills: AWS, Docker, Kubernetes, Terraform, Python, Bash, Linux, CICD, Observability, Automation, Infrastructure, Cloud 🏢 Description: Senior DevOps Engineer We are looking for an experienced engineer to take ownership of our infrastructure and platform ecosystem, supporting large-scale data processing systems and enabling efficient, reliable software delivery. This role combines hands-on engineering with strategic impact — you will design, build, and evolve the platform that underpins data pipelines and production services, ensuring scalability, security, and operational excellence across environments. Key Responsibilities Own and evolve CI/CD and automation platforms to support fast and reliable delivery of data-driven applications Design and manage cloud-native infrastructure supporting high-volume data ingestion, processing, and serving Build and maintain infrastructure as code to ensure consistency and scalability across environments Manage containerized environments and orchestration platforms to deliver resilient and scalable services Implement observability solutions (monitoring, logging, alerting) to ensure full system visibility and reliability Automate deployment processes, configuration management, and system recovery workflows Collaborate with engineering, data, and compliance teams to deliver secure and production-ready solutions Drive incident management practices and continuous improvement initiatives Contribute to platform strategy, tooling decisions, and mentoring within the team Requirements 5+ years of experience in DevOps, SRE, or infrastructure engineering roles Strong experience supporting production systems in distributed environments Hands-on experience with public cloud platforms (AWS or similar) Solid knowledge of containerization and orchestration technologies (Docker, Kubernetes) Experience with infrastructure as code tools (e.g., Terraform) Strong scripting/programming skills (Python, Bash, or similar) Experience building and maintaining CI/CD pipelines and automation tooling Knowledge of observability practices and tools Strong troubleshooting and incident response skills in Linux environments Excellent communication skills and ability to work cross-functionally Nice to Have Experience working with large-scale data platforms Exposure to regulated environments or compliance requirements Experience contributing to platform or engineering standards

🏢 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: Offer for a senior DevOps expert responsible for designing, implementing and migrating Cloud Native environments based on Kubernetes and OpenShift. The role focuses on containerization, CI/CD, Infrastructure as Code, and AI-driven DevOps automation, combined with technical consulting for clients. The position involves leading migrations, solving complex production issues, and building modern, scalable platforms. 🗂️ Requirements: Very good knowledge of Kubernetes architecture, networking, storage, operators, security, Hands-on experience with containerization, Practical experience with Red Hat OpenShift, Experience in migrations to Kubernetes/OpenShift, Experience in application modernization, Experience in CI/CD implementation, Knowledge of Infrastructure as Code, Knowledge of Kafka, Advanced programming skills in Python, Experience with DevOps automation and API integrations, Practical experience with AI in DevOps (LLM, AI agents), Ability to design and implement CI/CD pipelines, English level B2 or higher 📃 Skills: Kubernetes, OpenShift, Docker, CI/CD, GitLab, Jenkins, ArgoCD, Helm, Kustomize, AWSCDK, Ansible, Chef, Kafka, Python, LLM, Strands, LangGraph, AzureAI, Prometheus, Grafana, ELK, OpenTelemetry, AWS, Azure, GCP 🏢 Description: Poszukujemy doświadczonych ekspertów DevOps, którzy będą partnerami technologicznymi dla naszych klientów - od definiowania architektury i rekomendacji rozwiązań, po ich praktyczną implementację w środowiskach opartych o Kubernetes, Docker i OpenShift. Rola obejmuje również prowadzenie migracji oraz wsparcie w obszarze automatyzacji, modernizacji infrastruktury i wdrażania najlepszych praktyk DevOps. Twoja praca będzie polegała na: Doradztwie technologicznym i prowadzeniu warsztatów dla klientów z obszaru DevOps / Cloud Native Projektowaniu, budowaniu i rozwoju środowisk Kubernetes , OpenShift Migracji aplikacji i usług do architektur kontenerowych Projektowaniu i implementacji pipeline’ów CI/CD Automatyzacji infrastruktury (IaC) i procesów operacyjnych Rozwiązywaniu złożonych problemów technicznych w środowiskach produkcyjnych Współpracy z zespołami developerskimi, architektami oraz klientami biznesowymi Do realizacji zadań będzie Ci potrzebna: Bardzo dobra znajomość Kubernetes - architektura, networking, storage, operators, security Doświadczenie hands-on z konteneryzacją aplikacji Praktyczne doświadczenie z Red Hat OpenShift Realne doświadczenie w migracjach: do K8s/OpenShift modernizacji aplikacji migracji pipeline’ów i infrastruktury Bardzo dobra znajomość CI/CD (np. GitLab CI, Jenkins, Argo CD) Znajomość IaC (Helm, Kustomize, AWS CDK, Ansible, Chef) Znajomość Kafka Zaawansowane umiejętności programowania w Pythonie: automatyzacje DevOps integracje z API praca z frameworkami AI (np. Strands-agents, LangGraph, Azure AI SDK) Rozumienie koncepcji i praktyczne doświadczenie z AI w DevOps (LLM, agenci AI, automatyzacja procesów) Umiejętność pracy konsultingowej i samodzielnego prowadzenia projektów Język angielski na poziomie min. B2 Ucieszy nas jeśli posiadasz: Certyfikaty CKA, CKAD, CKS, Red Hat Doświadczenie z chmurą (AWS / Azure / GCP) Znajomość service mesh Monitoring: Prometheus, Grafana, ELK/EFK, OpenTelemetry Doświadczenie w optymalizacji kosztów i wydajności środowisk Z naszej strony możemy Ci zapewnić: Umowę UoP/B2B Pracę zdalną/hybrydową/stacjonarną – Gliwice, Opole Udział w projektach międzynarodowych Program poleceń – za każde polecenie oferujemy 5 000 - 8000 zł brutto Realny wpływ na kształtowanie rozwiązań AI i strategii dla klientów Możliwość rozwoju zarówno technicznego, jak i konsultingowo-biznesowego Możliwość dołączenia do benefitów: opieki medycznej Medicover, karty Multisport, ubezpieczenia na życie Uniqua, lektoratów z języka angielskiego i niemieckiego Niekorporacyjną atmosferę Środowisko, w którym liczy się inicjatywa, odpowiedzialność i jakość Spotkania Team’owe. Wyjazdy integracyjne firmowe zarówno w Polsce, jak i za granicą (Niemcy, Francja)

🏢 Summary: Senior Infrastructure / DevOps Engineer role focused on operating and evolving on-premises infrastructure while expanding cloud capabilities in hybrid environments. The position combines infrastructure administration, automation, CI/CD, and Kubernetes operations, supporting mission-critical production systems. Includes mandatory 24x7 L2 on-call participation to ensure high availability and reliability. 🗂️ Requirements: 7+ years experience in infrastructure or DevOps roles, Strong hands-on experience with on-premises environments, Solid experience with Proxmox and KVM virtualization, Strong Linux systems administration expertise, Proven production experience with Ansible, Knowledge of IP networking, routing, VLANs and firewalls, Experience with SAN/NAS storage and high-availability architectures, Experience with CI/CD tools, Experience with monitoring and observability stacks, Scripting skills in Bash or Python, Experience with PostgreSQL or Oracle administration, Hands-on experience with Docker, Operational knowledge of Kubernetes, Experience with AWS or Azure, Availability for 24x7 L2 on-call rotation 📃 Skills: Proxmox, KVM, Linux, Ansible, CICD, GitLab, Jenkins, Bash, Python, PostgreSQL, Oracle, Docker, Kubernetes, AWS, Azure, Prometheus, Grafana, SAN, NAS, VLAN, Firewalls, IP, Routing 🏢 Description: We are looking for a Senior Infrastructure / DevOps Engineer with strong hands-on experience in on-premises infrastructure and automation, who is evolving or consolidating their skills in cloud environments . This role is critical to the stability, reliability and continuous improvement of our technology platforms, including mission-critical production systems. This position combines infrastructure administration, DevOps practices, automation and continuous operations , with mandatory participation in a x7 on-call rotation (L2 support) . Key Responsibilities On-Premises Infrastructure (Core Focus) Operate, maintain and evolve on-premises infrastructure , ensuring stability, performance and high availability. Administer virtualization environments based on Proxmox (KVM) , including clusters, capacity planning and HA. Manage storage systems (SAN/NAS), including performance, redundancy, backup and recovery. Perform Linux systems administration , including hardening, patching, security and best practices. Work with networking concepts such as IP networking, VLANs, basic routing and firewalls . DevOps & Automation Automate infrastructure provisioning and configuration using Ansible and Infrastructure as Code principles. Build, maintain and improve CI/CD pipelines . Collaborate closely with development teams to improve deployment, reliability and troubleshooting processes. Reduce manual operational tasks through automation and standardization. Cloud Operations (Growth & Consolidation Phase) Operate and support public cloud environments (AWS, Azure) , primarily using IaaS services. Work in hybrid environments (on-prem + cloud) , ensuring integration, security and operational consistency. Apply cloud best practices related to cost management, security and reliability. Operate and support Kubernetes workloads , with a focus on day-to-day operations, networking, storage and troubleshooting. Reliability, Operations & On-Call Ensure high levels of availability, reliability and operational excellence . Participate actively in a 24x7 on-call rotation (L2 support) for production systems. Respond to incidents, perform root cause analysis and define corrective and preventive actions. Implement and maintain solutions (e.g., Prometheus, Grafana) for monitoring, logging and metrics . Collaboration & Documentation Work closely with engineering and product teams in a multidisciplinary environment. Create and maintain clear and practical documentation (runbooks, operational guides, handbooks). Support onboarding and promote operational and infrastructure best practices. Key Requirements 7+ years of experience in infrastructure, systems, DevOps or similar roles. Strong, hands-on experience with on-premises environments . Solid experience with Proxmox (KVM) . Strong knowledge of Linux systems administration . Proven experience using Ansible in production environments. Good understanding of networking fundamentals (IP, routing, firewalls, VLANs). Strong understanding of storage concepts and high-availability architectures. Experience with CI/CD tools (GitLab CI, Jenkins or equivalent). Experience with monitoring and observability stacks . Scripting skills (Bash, Python or similar). Experience with database administration (e.g. PostgreSQL, Oracle). Hands-on experience with container technologies such as Docker. Functional knowledge of Kubernetes , with an operational focus. Experience with public cloud platforms (AWS and/or Azure) . Profile & Mindset Strong operational mindset and sense of ownership. Comfortable working with critical production systems . Able to work autonomously and make technical decisions. Clear interest in growing cloud skills , grounded in strong traditional infrastructure experience. Practical, resilient and solution-oriented approach. Strong communication and collaboration skills. Professional proficiency in English (written and spoken).

🏢 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: Senior DevOps Engineer role focused on designing, automating, and operating AWS-based cloud infrastructure for a large-scale data and AI platform. The position centers on Infrastructure as Code, platform reliability, and enabling secure, scalable analytics workloads using Databricks and Amazon Athena. You will work hands-on with cloud and DevOps technologies in a cross-functional data environment. 🗂️ Requirements: Experience as DevOps Engineer in production cloud environments, Strong hands-on experience with AWS services, Practical experience with Databricks in cloud environments, Experience designing and managing infrastructure with Terraform, Hands-on experience with Amazon Athena, Experience with CI/CD pipelines, Experience with Git-based workflows, Knowledge of Docker and Kubernetes, Experience working with data or analytics platforms, Professional proficiency in French, Professional working proficiency in English 📃 Skills: AWS, Databricks, Terraform, Athena, Docker, Kubernetes, Airflow, MLflow, CI/CD, Git, Python, Shell, Monitoring, Logging, Cloud 🏢 Description: Client The world’s largest sporting goods retailer, with a global team of 5,000+ experts across engineering, product, data, cloud, and cybersecurity, is building the largest digital sports platform—driving innovation from product design to customer experience and sustainability. Project overview The project focuses on a cloud-native data platform supporting large-scale analytics, AI, and data processing workloads.The platform leverages technologies such as Databricks and Amazon Athena, ensuring high standards for automation, scalability, security, and operational excellence. Team You will work in a cross functional team that includes DevOps engineers, data engineers, software developers, and product stakeholders. The team collaborates closely, sharing responsibility for infrastructure quality, deployment pipelines, and platform stability. Position overview We are looking for a Senior DevOps Engineer to design, automate, and operate cloud infrastructure supporting data and AI workloads. You will focus on infrastructure automation, platform reliability, and enabling data workloads to run securely and efficiently in the cloud. The role combines hands on technical work with close collaboration across engineering and data teams. Technology stack AWS, Databricks, Terraform, AWS Cloud services, Amazon Athena, Docker, Kubernetes, Airflow, MLflow, CI CD pipelines, Git based workflows, monitoring and logging tools, scripting languages Responsibilities Design, implement, and maintain cloud infrastructure on AWS using Infrastructure as Code practices Build and manage Terraform based infrastructure to support data and analytics workloads Support and optimize Databricks environments running on AWS Configure and manage Amazon Athena for querying and analytics use cases Develop, maintain, and improve CI CD pipelines for infrastructure and platform components Monitor platform performance, availability, and security and address operational issues Collaborate with data engineers and developers to translate platform requirements into technical solutions Troubleshoot infrastructure and deployment issues and perform root cause analysis Contribute to platform standardization, documentation, and continuous improvement initiatives Requirements Experience working as a DevOps Engineer in production cloud environments Strong hands on experience with AWS services Practical experience using Databricks in a cloud based environment Experience designing and managing infrastructure with Terraform Hands on experience with Amazon Athena Experience working with CI CD pipelines and Git based workflows Knowledge of containerization (Docker, Kubernetes) Experience working in data or analytics platforms Ability to communicate effectively in French in a professional context Professional working proficiency in English Nice to have Experience with data engineering or analytics platforms Exposure to multi-cloud architectures (AWS & GCP) Experience in enterprise-scale environments Strong interest in AI / Generative AI technologies Scripting or programming experience with Python, Shell, or similar languages Experience working in large scale or enterprise environments What We Offer: Vacation days : Up to 26 business days per year. 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types Health and life insurance (Luxmed) MyBenefit platform with Multisport option Internal psychological support service English language classes from the first working day Access to external learning platforms : O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training Flexible workplace : work from the office, from home, or choose a hybrid option Tech Skills Mentoring Program Opportunities to develop as a public speaker, mentor, or technical interviewer Fully paid idle (bench) when not involved in a project Certification reimbursement (AWS, GCP, Microsoft, etc.)