Senior Platform Engineer

We are looking for Platform Engineers who build, not maintain.

This is a role for builders.

We don’t need someone who waits to be told what to do. We need someone who picks up a mission, drives it across teams, brings the right people in, and ships outcomes — not tickets.

If you are a team player who is assertive, takes ownership of ambiguous problems, and refuses to leave anything half-solved — this is your environment.

You will work closely with CloudOps, DevSecOps, FinOps, and SRE functions. You will also use AI and agentic AI as everyday engineering tools — not as experiments, but as part of your default workflow.

We expect AI fluency as a baseline skill, not curiosity.

€7,000–€9,000 gross per month.

• A Platform Engineer / Builder who creates systems others depend on
• A team player and collaborator — you build with people, not around them
• Assertive and decisive — you propose, defend, and drive technical direction
• Mission-driven — you own problems end-to-end and deliver outcomes
• Innovative — you bring ideas and help the team adopt better ways of working
• AI-native engineer — you use AI assistants and agentic workflows daily
• Curious and continuous learner — growth is part of your job, not a side activity

You will operate in a modern AWS-based platform ecosystem:

• AWS Control Tower landing zone with guardrails and account vending
• AWS IAM Identity Center for federated access across accounts
• Multi-account AWS strategy (prod, staging, dev, sandbox, shared services, security, logging)
• Sandbox environments for experimentation with cost and security controls
• Multi-VPC architecture with Transit Gateway and VPC endpoints
• Amazon EKS as the primary runtime for platform and workloads
• GitOps delivery model with Argo CD
• Infrastructure as Code using Terraform / OpenTofu
• Crossplane-based control planes enabling self-service infrastructure APIs
• GitHub as a fully platform-owned surface (org, teams, repos, templates, governance)
• GitHub Actions for CI/CD, reusable workflows, OIDC to AWS, environment controls
• CI automation bots (PR validation, labeling, auto-assignment, auto-merge)
• Copilot org policies and AI development standards across repositories
• AI-augmented engineering workflows using Copilot and Claude
• JFrog Artifactory as the artifact backbone (registries, promotion, scanning, signing)

• Build and evolve an internal developer platform (IDP) based on GitOps and Kubernetes
• Design and deliver self-service infrastructure capabilities for product teams
• Treat the platform as a product — developer experience is your primary metric
• Contribute to IDP evolution using tools such as Crossplane, GitOps, and internal APIs
• Maintain and extend Infrastructure as Code (Terraform / OpenTofu)
• Deliver prototypes that evolve into production platform capabilities

• Use AI coding assistants daily (Claude, Copilot, or equivalent)
• Design agentic workflows to automate platform operations (debugging, remediation, documentation, scaffolding)
• Build AI-augmented tooling into the platform where it improves developer velocity
• Define and raise the standard for responsible AI usage in engineering

• Operate AWS services (EKS, IAM, S3, RDS, Lambda, CloudWatch)
• Design and troubleshoot VPC architectures, routing, and multi-account networking
• Work confidently with:
• CIDR planning, subnets, route tables
• Security groups, NACLs
• Transit Gateway, VPC peering
• Private connectivity via VPC endpoints
• DNS (Route53)
• Debug Kubernetes networking (Ingress, Services, CNI, Network Policies)

• Operate Argo CD as a core delivery platform
• Own multi-environment deployment strategies using ApplicationSets
• Support progressive delivery (blue/green, canary where applicable)
• Deploy, troubleshoot, and instrument Kubernetes workloads

• Manage GitHub organization as a platform product:
• Organization structure, teams, repositories, templates
• Branch protection, environments, review policies
• Build reusable GitHub Actions workflows for platform-wide consumption
• Operate CI automation (PR checks, labeling, merge automation)
• Define Copilot governance and AI usage standards across repositories
• Ensure secure OIDC integration between GitHub and AWS

• Operate JFrog Artifactory (or equivalent systems at scale)
• Manage registries (containers, Helm, language packages)
• Define promotion flows across environments
• Implement artifact security scanning, retention, and signing policies

• Work cross-functionally with CloudOps, DevSecOps, FinOps, and SRE
• Mentor engineers and contribute to technical direction
• Drive adoption of platform standards across teams
• Lead delivery of prototypes and platform capabilities
• Communicate clearly and influence across engineering domains

• 7+ years in Platform Engineering, SRE, or closely related roles
• Strong platform mindset (you build systems, not ticket queues)
• Deep AWS experience (EKS, IAM, networking, core services)
• Strong Kubernetes operational experience
• Hands-on Argo CD / GitOps experience
• Infrastructure as Code: Terraform / OpenTofu
• CI/CD pipeline design experience (tool-agnostic)
• GitHub administration at scale (organizations, workflows, governance)
• Experience with artifact management systems (JFrog or equivalent)
• Strong scripting skills (Python, Go, Bash, etc.)
• Proven ability to work across teams and deliver outcomes

• Experience with IDP platforms (Backstage, Port, or similar)
• Crossplane for Kubernetes-based infrastructure management
• Argo ecosystem depth (Rollouts, Workflows, Events)
• SRE practices: SLOs, SLIs, error budgets, incident response
• DORA metrics and delivery performance tracking
• Internal developer tooling or platform products

• Observability: Datadog, Prometheus, Grafana, OpenTelemetry
• Service mesh (Istio, Linkerd)
• FinOps and cloud cost optimization
• Policy-as-code (OPA, Kyverno)
• Certifications (CKA, AWS, Terraform)

If you are a mission-driven engineer who builds systems, embraces AI as a core tool, and thrives in complex distributed environments — your place is with us.