Track Lead - Azure DevOps, Terraform

Track Lead - Azure DevOps, Terraform Amsterdam, Noord-Holland Job Summary

We are building a productized secure access platform that provides engineers across a global enterprise with interactive remote access (SSH/RDP via Apache Guacamole) and secure file transfer (S3 presigned URLs). The platform runs as a SaaS-style shared service on OpenShift with two environment-separated instances (Production and Non-Production), enforcing strict tenant isolation so each consuming team only accesses their own resources. As a Senior Platform Engineer, you will own the technical design, implementation, and operations of this platform. You will work at the intersection of security engineering, container orchestration, and infrastructure automation — building a service governed by an enterprise-approved reference architecture with direct security office oversight.

Key Responsibilities

Design and operate the interactive access service based on Apache Guacamole, containerized on OpenShift, translating HTTPS to native protocols (SSH, RDP, SQL, VNC) Build and maintain the file transfer service using S3 presigned URLs with time-bound expiry and tenant-scoped bucket/path access controls Engineer tenant isolation within shared SaaS-style deployments, ensuring each consuming team only accesses their own targets through predefined connections and network-level controls Design credential lifecycle automation: retrieval/seeding at session start, reset/removal at session stop, integrated with Privileged Access Management and credential stores Build session recording and logging pipelines shipping audit data to tenant-specified log repositories (Kafka, S3, Git) Implement metering and billing event generation for per-tenant consumption tracking Develop CI/CD pipelines for automated platform lifecycle management: provisioning, start, stop, decommissioning (immutable infrastructure / cattle model) Collaborate with security teams to refine detection scenarios every sprint and maintain audited control reporting (Seven IT Risk Controls, COBIT framework) Define and monitor SLIs/SLOs: start latency, session success rate, recording complete

Skill Requirements

3+ years hands-on experience with Kubernetes/OpenShift in production (deployment, networking, RBAC, persistent storage, operators) Proficiency in Go and Python for platform service development, automation, and tooling Strong Linux systems engineering (SSH, networking, security hardening, systemd) Container orchestration and CI/CD pipeline design (Helm, ArgoCD, Tekton, or equivalent) S3-compatible object storage (MinIO or AWS S3): presigned URLs, bucket policies, IAM integration Azure DevOps for backlog management, CI/CD pipelines, and release workflows Infrastructure as Code: Terraform, Ansible, or equivalent Understanding of security principles: zero-trust, defence-in-depth, protocol insulation, MFA, credential management Experience with IAM systems, directory services integration, and conditional access policies Familiarity with logging and monitoring stacks (Kafka, Elasticsearch, Prometheus/Grafana)

Other Requirements

NA