DevOps Engineer (QART)
Core
Implement, automate, and maintain cloud-native infrastructures for AI/ML and Java applications to support real-time decision-making and autonomous systems.
Role type
DevOps Engineer (Cloud & MLOps)
Builds
Modular, scalable, mission-ready platforms integrating with existing systems
Domain
Defense, security, civil protection, critical infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Java/Tomcat administration, GitOps workflows, MLOps (MLflow), CI/CD pipeline design, Infrastructure as Code (Terraform, Ansible), Container orchestration (Docker, Kubernetes), Monitoring (Prometheus, Grafana, ELK)
Preferred skills
Multi-cloud/hybrid environment experience, Scripting (Python/Bash/PowerShell), Identity & Access Management (Entra ID, Keycloak)
Technologies
Azure, MLflow, Kubernetes, GitHub Actions, Jenkins, Terraform, Ansible, Helm, Docker, Prometheus, Grafana, ELK
Responsibilities
Administer Java/Tomcat environments including clustering and performance tuning; Manage cloud infrastructure provisioning and autoscaling; Design and implement CI/CD pipelines for applications and ML workflows; Automate infrastructure using IaC tools; Monitor and observe system performance; Collaborate with development and data science teams for zero-downtime deployments
Seniority
Mid-level, hands-on IC
