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.