DevOps Architect / Lead Platform Engineer

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.

QUALIFICATIONS & COMPETENCIES

• 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

AREA OF RESPONSIBILITY

• Design and standardize a self-service Internal Developer Platform (e.g. Backstage or Port) with golden deployment paths and secure, ephemeral 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)

At RDT we develop global engineering and information technology solutions that allow our clients to gain a competitive advantage in the development of projects with advanced technological components. We offer our clients agility, flexibility, excellence and a cutting-edge approach from a sustainable and lasting perspective, positioning ourselves as a trusted strategic partner. We work in sectors such as Aeronautics, Aerospace, Automotive, Energy, Industrial, Petrochemical, Capital Goods, Consumer Goods and many more.

Our trajectory is marked by a passion for engineering in whose positive impact we believe for the resolution of our clients' and society's challenges, starting from a close reality towards an international vision.

RDT has offices in Spain, France, United Kingdom, Denmark, Portugal, Sweden, Mexico and Morocco, having carried out projects all over the world and with a global projection. We currently have a team of 1800 people, and we have an average annual growth of 18% in turnover since RDT was founded in 2006, reaching 120 million euros by 2024.

LOCATION

Remote, Europe

START DATE

ASAP

Read what our employees think

The company prioritizes the employees and creates a good, stable and healthy work environment. You are a person, not only a resource. This focus on the employees, the work-life balance and the possibilities to learn new things are great.