HumanIT Digital ConsultingDevSecOps / Platform Engineer (Kubernetes/Terraform) — Full Remote Portugal
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DevSecOps / Platform Engineer (Kubernetes/Terraform) — Full Remote Portugal
Lisbon, Portugal
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Job Openings DevSecOps / Platform Engineer (Kubernetes/Terraform) — Full Remote Portugal
About the job DevSecOps / Platform Engineer (Kubernetes/Terraform) — Full Remote Portugal
===
ABOUT THE OPPORTUNITY
Join a technically ambitious organisation operating at the intersection of infrastructure, security, and cutting-edge AI/ML workloads. This is a senior individual contributor role where your work directly shapes the reliability, security posture, and scalability of critical platform infrastructure. You'll be embedded in a high-trust engineering culture that values ownership, technical depth, and continuous improvement — not ticket-pushing.
The environment is complex, the challenges are real, and the impact is immediate. If you thrive in platforms where GPU-accelerated workloads, zero-trust security, and cloud-native tooling converge, this role was built 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 cloud (AKS) and on-premises environments. The platform serves cross-functional engineering teams and demands the highest standards in security hardening, observability, and operational resilience.
The stack is modern, the team is senior, and the expectations are high — in the best possible way. You'll be operating in a GitOps-first, security-first culture where Infrastructure as Code is the norm and every change is deliberate and auditable.
WHAT WE'RE LOOKING FOR (Required)
Experience
- 7+ years in DevOps / Platform Engineering
- 2+ years in a dedicated DevSecOps capacity
Kubernetes & Infrastructure
- 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
GPU & ML Workloads
- Experience deploying and managing GPU-accelerated workloads using NVIDIA operators, GPU device plugins, and/or Run:AI
Security (Non-Negotiable)
- 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
Observability
- Prometheus and Grafana — deployment, configuration, and dashboard ownership
Networking & Linux
- Strong Linux fundamentals and networking depth: TLS, DNS, Ingress, OAuth/OIDC, VNet, Peering, VPN/Jump Host configuration
Data & Storage
- Experience managing MinIO, MLflow, and PostgreSQL (HA configurations and backup strategies)
Scripting & Languages
- Strong scripting in Python and Bash (required)
NICE TO HAVE (Preferred)
- Experience supporting ML platforms: Kubeflow, MLflow, KServe
- Knowledge of distributed storage systems: Ceph or NetApp
- Background in regulated industries — automotive, aerospace, medical, energy, or railway
- Scripting experience in Go
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ABOUT THE OPPORTUNITY
\nJoin a technically ambitious organisation operating at the intersection of infrastructure, security, and cutting-edge AI/ML workloads. This is a senior individual contributor role where your work directly shapes the reliability, security posture, and scalability of critical platform infrastructure. You'll be embedded in a high-trust engineering culture that values ownership, technical depth, and continuous improvement \u2014 not ticket-pushing.
\nThe environment is complex, the challenges are real, and the impact is immediate. If you thrive in platforms where GPU-accelerated workloads, zero-trust security, and cloud-native tooling converge, this role was built for you.
\nPROJECT & CONTEXT
\nYou will be working on a mature but evolving internal platform that supports advanced data and ML workloads running on Kubernetes across both cloud (AKS) and on-premises environments. The platform serves cross-functional engineering teams and demands the highest standards in security hardening, observability, and operational resilience.
\nThe stack is modern, the team is senior, and the expectations are high \u2014 in the best possible way. You'll be operating in a GitOps-first, security-first culture where Infrastructure as Code is the norm and every change is deliberate and auditable.
\nWHAT WE'RE LOOKING FOR (Required)
\nExperience
\n- \n
- 7+ years in DevOps / Platform Engineering \n
- 2+ years in a dedicated DevSecOps capacity \n
Kubernetes & Infrastructure
\n- \n
- Deep expertise in Kubernetes \u2014 AKS, upstream K8s, or enterprise distributions \n
- Hands-on experience with on-premises Kubernetes: RKE2, K3s, or OpenShift \n
- IaC proficiency: Terraform, Helm, Kustomize, YAML, GitOps workflows \n
- CI/CD pipeline ownership: Azure DevOps and/or GitHub Actions \n
GPU & ML Workloads
\n- \n
- Experience deploying and managing GPU-accelerated workloads using NVIDIA operators, GPU device plugins, and/or Run:AI \n
Security (Non-Negotiable)
\n- \n
- CIS-hardened Kubernetes environments \n
- Zero Trust network architecture principles \n
- Container security tooling: Trivy, Aqua, Prisma, or equivalent \n
- SAST/DAST/SCA toolchain implementation \n
- RBAC, NetworkPolicies, PodSecurityAdmission configuration \n
- Encryption at rest and in transit; certificate lifecycle management \n
- Secrets management: HashiCorp Vault and/or Azure Key Vault \n
- Keycloak configuration and identity management \n
Observability
\n- \n
- Prometheus and Grafana \u2014 deployment, configuration, and dashboard ownership \n
Networking & Linux
\n- \n
- Strong Linux fundamentals and networking depth: TLS, DNS, Ingress, OAuth/OIDC, VNet, Peering, VPN/Jump Host configuration \n
Data & Storage
\n- \n
- Experience managing MinIO, MLflow, and PostgreSQL (HA configurations and backup strategies) \n
Scripting & Languages
\n- \n
- Strong scripting in Python and Bash (required) \n
NICE TO HAVE (Preferred)
\n- \n
- Experience supporting ML platforms: Kubeflow, MLflow, KServe \n
- Knowledge of distributed storage systems: Ceph or NetApp \n
- Background in regulated industries \u2014 automotive, aerospace, medical, energy, or railway \n
- Scripting experience in Go