Join a technically ambitious organisation at the intersection of infrastructure, security, and AI/ML workloads
Shape the reliability, security posture, and scalability of critical platform infrastructure
Work embedded in a high-trust engineering culture that values ownership and continuous improvement
Operate in a GitOps-first, security-first culture with Infrastructure as Code as the norm
Work on a mature internal platform supporting advanced data and ML workloads running on Kubernetes
Ensure the platform serves cross-functional engineering teams with high security standards

7+ years in DevOps / Platform Engineering
2+ years in a dedicated DevSecOps capacity
Deep expertise in Kubernetes — AKS, upstream K8s, or enterprise distributions
Hands-on experience with on-premises Kubernetes: RKE2, K3s, or OpenShift
IaC proficiency: Terraform, Helm, Kustomize, YAML, GitOps workflows
CI/CD pipeline ownership: Azure DevOps and/or GitHub Actions
Experience deploying and managing GPU-accelerated workloads using NVIDIA operators, GPU device plugins, and/or Run:AI
CIS-hardened Kubernetes environments
Zero Trust network architecture principles
Container security tooling: Trivy, Aqua, Prisma, or equivalent
SAST/DAST/SCA toolchain implementation
RBAC, NetworkPolicies, PodSecurityAdmission configuration
Encryption at rest and in transit; certificate lifecycle management
Secrets management: HashiCorp Vault and/or Azure Key Vault
Keycloak configuration and identity management
Prometheus and Grafana — deployment, configuration, and dashboard ownership
Strong Linux fundamentals and networking depth: TLS, DNS, Ingress, OAuth/OIDC, VNet, Peering, VPN/Jump Host configuration
Experience managing MinIO, MLflow, and PostgreSQL (HA configurations and backup strategies)
Strong scripting in Python and Bash (required)

DevSecOps, Platform Engineer – Kubernetes, Terraform

Key skills