DevOps

Overview Expleo is a trusted partner for your innovation journey. As a global engineering, technology and consulting service provider, we are ideally positioned to help you achieve your ambitions and future-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast-track innovation through each step of your value chain. We are strategically positioned to build value, with a global footprint across 30 countries.We are as global and local as you need us to be, with strong best-in-class pan-European technological centres and unique best-shoring capabilities. We leverage a network of high value-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever-changing environment. Responsibilities - Design, implement, and maintain Kubernetes-based platforms and DevOps infrastructure. - Support and operate secure DevSecOps environments and CI/CD pipelines. - Deploy and manage containerized workloads and platform components. - Implement infrastructure as code and GitOps practices for platform provisioning and configuration. - Configure and maintain observability solutions to monitor platform performance and reliability. - Ensure platform and infrastructure security through container security tools, secrets management, and network policies. - Manage supporting platform services such as storage, databases, and ML platform components. - Collaborate with cross-functional engineering teams to support platform and application delivery. - Produce and maintain technical documentation and communicate effectively with internal teams and customers. - Identify issues, troubleshoot platform problems, and proactively improve reliability and security. Essential skills - 7+ years of experience in DevOps or Platform Engineering. - 2+ years of experience in DevSecOps. - Strong expertise in Kubernetes (AKS, upstream, or enterprise Kubernetes). - Experience with on-premises Kubernetes (RKE2, K3s, or OpenShift). - Experience with GPU-accelerated workloads using NVIDIA operators, GPU device plugins, or Run:AI. - Experience with CI/CD tools such as Azure DevOps or GitHub Actions. - Infrastructure as Code experience using Terraform, Helm, Kustomize, YAML, and GitOps practices. - Experience with observability tools such as Prometheus and Grafana. - Expertise in container security tools (e.g., CNI, Trivy, Aqua, Prisma or similar). - Experience with secrets management tools (e.g., Vault or Azure Key Vault). - Strong Linux and networking knowledge (TLS, DNS, Ingress, OAuth/OIDC, VNet, Peering, VPN/Jump Host configuration). - Experience managing MinIO, MLflow, and PostgreSQL (HA and backups). - Strong scripting skills (Python or Bash; Go is optional). - Expertise in Keycloak configuration. - Experience with Kubernetes security practices (CIS hardened Kubernetes, RBAC, NetworkPolicies, PodSecurityAdmission). - Knowledge of Zero Trust networking principles. - Experience with SAST, DAST, and SCA security tooling. - Knowledge of encryption at rest and in transit, certificate management, and firewall configuration. - Fluency in English. Desired skills - Experience supporting ML platforms (Kubeflow, MLflow, KServe). - Knowledge of storage systems such as Ceph or NetApp. - Experience working in regulated industries (automotive, aerospace, medical, energy, railway). What do I need before I apply - The opportunity is remote but the candidate must already be living in PT.