Senior DevOps & Platform Engineer (Internal Developer Platform, DevSecOps, AIOps)
Location: Remote within EU
We are looking for a Senior / Lead Platform & DevOps Engineer with 8+ years of experience to design, build and scale an Internal Developer Platform, enterprise GitOps delivery and automated remediation across multi-cluster Kubernetes environments. The role sits in Integration Testing & Release DevOps and requires strong hands‑on depth from day one.
Responsibilities
- Design and standardize a self‑service Internal Developer Platform (e.g. Backstage or Port) with golden deployment paths and secure, ephemer\'al environments
- Architect multi‑cluster, multi‑region GitOps delivery with ArgoCD or Flux, including automated canary analysis, traffic shadowing and automated rollbacks
- Build closed‑loop remediation and AIOps pipelines using OpenTelemetry, anomaly correlation and workflow\/orchestration engines (Temporal, Kubernetes Operators in Go)
- Implement policy as code and software supply chain security with Kyverno or OPA, SAST\/SCA gates, cosign and SBOMs
- Define SLO\/SLI governance, error budgets and automated chaos testing for distributed services
- Establish standards for IaC, CI\/CD and telemetry, and drive them through cross‑team RFCs and architecture reviews
- Support inference and training infrastructure for AI workloads, including GPU autoscaling (KEDA)
Required experience
- 6+ years of enterprise-scale Kubernetes in production: multi‑cluster networking, service meshes (Istio\/Linkerd), ingress controllers, CRD design
- Strong Go (custom operators, platform controllers) and Python (automation, data and AI pipelines)
- Modular Terraform, OpenTofu or Pulumi, including state management, drift detection and policy testing
- GitOps and delivery tooling: ArgoCD, Flux, GitHub Actions
- Observability: OpenTelemetry collector topologies, tail‑based sampling, Prometheus, Grafana (Mimir\/Tempo), ClickHouse or Datadog
- Policy as code and supply chain security: Kyverno, OPA, SAST\/SCA, cosign, SBOMs
- Deterministic, idempotent workflows with Temporal or event‑driven architectures on Kafka
- Track record of authoring cross‑team RFCs and defining operational SLOs\/SLIs
- Cloud: AWS and/or GCP
- Incident tooling: PagerDuty, Incident.io, Slack API
Nice to have
- Integration of ITSM\/CMDB platforms (iTop or similar) into automated incident workflows
- Experience integrating LLM tool‑calling, agentic triage or RAG‑based runbook retrieval into incident response
- Contributions to CNCF\/open-source projects