PpWe are expanding Duferco’s Corporate Innovation Team: a fast-moving engineering team operating in a startup-like environment, backed by the stability and scale of a global diversified group. /p pYou will work across multiple companies and domains inside the group — including energy, trading, logistics, steel, insurance, sports, and other sectors — helping build and operate the cloud infrastructure, deployment systems, automation platforms, and internal developer tooling that power our next generation of software and AI-enabled systems. /p pWe are looking for a DevOps / Platform Engineer with strong infrastructure and automation skills who wants to help design highly autonomous, resilient, and scalable systems. This role is not limited to maintaining infrastructure: you will actively shape how engineering, operations, AI automation, and internal platforms evolve across the organization. /p h3About the Team /h3 pWe sit close to real business problems and have the freedom to prototype and ship quickly. AI is already part of our daily workflow, and we expect that role to keep expanding. /p pWe care about building things well, shipping systems that create leverage, and working with people who make the team better. /p pWe appreciate engineers who enjoy ownership, fast iteration, pragmatic problem solving, and AI-assisted development. /p h3What You’ll Do /h3 ul liBuild and maintain AWS-based infrastructure using services such as ECS, Fargate, EC2, Lambda, EKS, RDS, S3, CloudFront, API Gateway, IAM, and related services /li liDesign and manage Kubernetes-based workloads and containerized environments /li liDevelop Infrastructure as Code using Terraform and/or AWS CDK /li liBuild CI/CD pipelines and developer workflows using GitHub Actions and related tooling /li liCreate infrastructure automation systems focused on scalability, reliability, self-healing, and operational efficiency /li liImprove observability, monitoring, alerting, deployment safety, and operational tooling /li liCollaborate closely with software engineers, data engineers, and AI teams to enable fast and reliable delivery /li liDevelop AI-enabled operational automation, internal agents, MCP-based integrations, and autonomous workflows to reduce manual operational overhead /li liHelp evolve the organization toward a more autonomous engineering and infrastructure stack /li liEvaluate and adopt modern cloud, platform engineering, and AI-native infrastructure approaches where they provide real leverage /li /ul h3What We Offer /h3 ul liA high-autonomy role with direct influence on what gets built /li liModern AI-assisted engineering tools and time to explore new technologies and approaches /li liA fast-moving, collaborative environment with talented and ambitious people /li liA broad variety of technical and business challenges across different domainsl /liliCompetitive compensation and benefits /li liFlexible working hours and hybrid work setup /li /ul h3You’re Probably a Fit If /h3 ul liYou have 4+ years working with cloud infrastructure and production systems, particularly on AWS /li liYou are comfortable designing and operating containerized workloads using Docker, ECS, Kubernetes, or similar technologies /li liYou have strong experience with Infrastructure as Code using Terraform, AWS CDK, or equivalent tools /li liYou have experience building and maintaining CI/CD systems, preferably with GitHub Actions /li liYou think in terms of automation first, and naturally look for ways to eliminate repetitive operational work /li liYou are comfortable debugging distributed systems, infrastructure failures, networking issues, and deployment problems in production environments /li liYou care about reliability, scalability, observability, and developer experience — not just “keeping servers running” /li liYou actively use AI coding and automation tools — Claude Code, Codex, Cursor, MCP-enabled workflows, or similar — and are interested in how AI changes infrastructure and operations workflows /li liYou make pragmatic trade-offs between speed, maintainability, operational simplicity, and engineering rigor /li liYou enjoy working across infrastructure, software, automation, and internal tooling rather than staying inside a narrow operational silo /li /ul pExperience with platform engineering, Kubernetes operators, observability stacks, event-driven systems, internal developer platforms, LLM applications, agent frameworks, MCP servers, or large-scale automation systems is a strong plus. /p pYou do not need experience with every technology we use. Strong engineering ability, adaptability, curiosity, and a strong automation mindset matter much more. /p /p #J-18808-Ljbffr