• Lead the integration and deployment of global DevOps solutions across private and multi-cloud environments • Design, maintain, and optimize CI/CD pipelines using GitLab CI • Manage Kubernetes-based platforms, ensuring scalability, reliability, and performance • Implement Infrastructure as Code (IaC) using Terraform and Ansible to automate deployments • Build and maintain observability stacks (Prometheus, Grafana, ELK/Loki, OpenTelemetry) • Troubleshoot and resolve issues across application, infrastructure, and network layers • Collaborate with cross-functional and international teams to ensure smooth operations • Drive GitOps automation with ArgoCD / Flux and promote best practices across teams • Enforce security, compliance, and access controls (Vault, RBAC, network policies) • Support hybrid and API-driven infrastructure across multiple cloud environments

• Design, build, and maintain Azure infrastructure using Terraform across dev, staging, and production environments • Own and improve Azure DevOps CI/CD pipelines (YAML), including artefact management, approvals, and automated deployments • Implement and maintain secure Azure networking (VNets, subnets, Private Endpoints, Private DNS, NSGs) to ensure private access to critical services • Configure and enforce security best practices across the platform (RBAC, Managed Identities, Service Principals, Key Vault, secrets handling) • Ensure reliable hosting and operations for platform components (App Service, Functions, Storage, Azure SQL, ACR) • Monitor platform health and performance; troubleshoot incidents using Azure monitoring, logs, and diagnostics • Support the AI processing infrastructure needs, including enabling secure and scalable execution for workflows and batch/experimental pipelines (and optionally Azure ML / Azure OpenAI)

Role Description You will be: - designing and implementing scalable AWS infrastructure across multi-account environments, - building and maintaining reusable Infrastructure as Code (Terraform) modules and platform components, - implementing automation across provisioning, deployment, and governance workflows, - embedding security, compliance, and operational controls into CI/CD pipelines using policy-as-code, - improving platform reliability through observability, monitoring, and incident response practices, - collaborating with platform, security, and application teams to deliver and adopt platform capabilities. Qualifications - 8+ years of experience in cloud, infrastructure, or platform engineering roles, - strong hands-on experience designing and operating AWS environments at scale (multi-account), - proven expertise in Infrastructure as Code such as Terraform, - experience implementing CI/CD pipelines and embedding DevSecOps practices, - strong knowledge of AWS core domains - networking, IAM, container platforms (e.g. EKS), and security principles, - experience improving platform reliability through observability, monitoring, and incident management, - familiarity with least-privilege IAM strategies, and secure-by-design cloud architecture, - practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. Requirements - Work from the European Union region and a work permit are required. Benefits - AWS certifications (e.g. Solutions Architect – Professional, DevOps Engineer – Professional) are nice to have, - experience implementing AWS landing zones and Control Tower at scale, - familiarity with policy-as-code and automated compliance controls, - experience working in large-scale, distributed enterprise environments, - exposure to FinOps practices and cloud cost optimization strategies, - experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, - interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Recruitment Process - CV review - HR call - Interview - Client Interview - Decision

• Design and implement a Golden Path CI/CD pipeline using GitHub Actions and GitOps principles • Standardize and optimize CI/CD processes across engineering teams • Build and maintain scalable deployment workflows using ArgoCD and Helm • Collaborate with development teams to improve developer experience and release efficiency • Ensure reliability, scalability, and maintainability of CI/CD infrastructure • Contribute to best practices around infrastructure automation and delivery pipelines • Work within a complex Kubernetes environment (50+ clusters), ensuring consistency and performance at scale