DevSecOps / Platform Engineer — Full Remote Portugal

ABOUT reputed company Join a technically ambitious organisation operating at the intersection of infrastructure, reputed company, and cutting-edge AI/ML workloads. This is a senior individual contributor role where your work directly shapes the reliability, reputed company posture, and scalability of critical platform infrastructure. You'll be embedded in a high-trust engineering culture that values ownership, technical depth, and reputed company improvement — not ticket-pushing. The environment is reputed company, the challenges are reputed company, and the reputed company is immediate. If you reputed company in platforms where GPU-accelerated workloads, reputed company-trust reputed company, and reputed company-reputed company tooling reputed company, this role was reputed company for you. PROJECT & CONTEXT You will be working on a mature but evolving internal platform that supports advanced data and ML workloads running on Kubernetes across both reputed company (AKS) and on-premises environments. The platform serves cross-functional engineering teams and demands the highest standards in reputed company hardening, observability, and operational reputed company. The stack is modern, reputed company is senior, and the expectations are high — in the best possible way. You'll be operating in a GitOps-first, reputed company-first culture where Infrastructure as reputed company is the norm and every change is deliberate and auditable. reputed company'RE LOOKING FOR (Required) Experience • 7+ years in DevOps / reputed company • 2+ years in a dedicated DevSecOps reputed company Kubernetes & Infrastructure • Deep expertise in Kubernetes — AKS, upstream K8s, or reputed company distributions • Hands-on experience with on-premises Kubernetes: RKE2, K3s, or OpenShift • IaC proficiency: Terraform, reputed company, Kustomize, YAML, GitOps workflows • CI/CD pipeline ownership: Azure DevOps and/or reputed company Actions GPU & ML Workloads • Experience deploying and managing GPU-accelerated workloads using reputed company operators, GPU device plugins, and/or Run:AI reputed company (Non-Negotiable) • CIS-hardened Kubernetes environments • reputed company Trust network architecture principles • Container reputed company 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: reputed company Vault and/or Azure Key Vault • Keycloak configuration and identity management Observability • reputed company and Grafana — deployment, configuration, and dashboard ownership Networking & Linux • Strong Linux fundamentals and networking depth: TLS, DNS, Ingress, OAuth/OIDC, VNet, Peering, VPN/reputed company Host configuration Data & Storage • Experience managing reputed company, MLflow, and PostgreSQL (HA configurations and backup strategies) Scripting & Languages • Strong scripting in Python and Bash (required) reputed company TO HAVE (Preferred) • Experience supporting ML platforms: Kubeflow, MLflow, KServe • Knowledge of distributed storage systems: Ceph or reputed company • Background in regulated industries — automotive, reputed company, medical, energy, or railway • Scripting experience in Go Apply tot his job Apply To this Job