Platform engineer

We 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.
You 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.
We 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.
About the Team
We 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.
We care about building things well, shipping systems that create leverage, and working with people who make the team better.
We appreciate engineers who enjoy ownership, fast iteration, pragmatic problem solving, and AI-assisted development.
What You’ll Do

Build and maintain AWS-based infrastructure using services such as ECS, Fargate, EC2, Lambda, EKS, RDS, S3, CloudFront, API Gateway, IAM, and related services
Design and manage Kubernetes-based workloads and containerized environments
Develop Infrastructure as Code using Terraform and/or AWS CDK
Build CI/CD pipelines and developer workflows using GitHub Actions and related tooling
Create infrastructure automation systems focused on scalability, reliability, self-healing, and operational efficiency
Improve observability, monitoring, alerting, deployment safety, and operational tooling
Collaborate closely with software engineers, data engineers, and AI teams to enable fast and reliable delivery
Develop AI-enabled operational automation, internal agents, MCP-based integrations, and autonomous workflows to reduce manual operational overhead
Help evolve the organization toward a more autonomous engineering and infrastructure stack
Evaluate and adopt modern cloud, platform engineering, and AI-native infrastructure approaches where they provide real leverage

What We Offer

A high-autonomy role with direct influence on what gets built
Modern AI-assisted engineering tools and time to explore new technologies and approaches
A fast-moving, collaborative environment with talented and ambitious people
A broad variety of technical and business challenges across different domainsl
Competitive compensation and benefits
Flexible working hours and hybrid work setup

You’re Probably a Fit If

You have 4+ years working with cloud infrastructure and production systems, particularly on AWS
You are comfortable designing and operating containerized workloads using Docker, ECS, Kubernetes, or similar technologies
You have strong experience with Infrastructure as Code using Terraform, AWS CDK, or equivalent tools
You have experience building and maintaining CI/CD systems, preferably with GitHub Actions
You think in terms of automation first, and naturally look for ways to eliminate repetitive operational work
You are comfortable debugging distributed systems, infrastructure failures, networking issues, and deployment problems in production environments
You care about reliability, scalability, observability, and developer experience — not just “keeping servers running”
You 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
You make pragmatic trade-offs between speed, maintainability, operational simplicity, and engineering rigor
You enjoy working across infrastructure, software, automation, and internal tooling rather than staying inside a narrow operational silo

Experience 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.
You do not need experience with every technology we use. Strong engineering ability, adaptability, curiosity, and a strong automation mindset matter much more.
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