[Hiring] DevOps @Expleo

Role Description

• 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.

Qualifications

• 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).

Requirements

• The opportunity is remote but the candidate must already be living in PT.