DevOps Engineer supporting cloud modernization for the Department of the Air Force on the Cloud One contract. Involved in systems analysis, security practices, and collaboration with engineering teams.
About the role
- DevOps & Kubernetes Engineer at AI software startup near Porto, managing Kubernetes clusters for ML workloads and collaborating on infrastructure solutions.
Responsibilities
- Design, deploy, and manage production-grade Kubernetes clusters for ML and microservice workloads
- Maintain and optimize container orchestration, including service mesh, network policies, and resource allocation
- Oversee CI/CD pipelines using tools like GitHub Actions, GitLab CI, and Terraform
- Manage Docker image lifecycle and enforce security best practices
- Monitor infrastructure health using Prometheus, Grafana, and centralized logging solutions
- Collaborate on Infrastructure as Code (IaC) and ensure scalable, reproducible deployments
- Support GPU-based workloads and optimize GPU resource utilization for LLM agents
- Maintain Linux-based cloud servers, implement security protocols, and manage DNS, VPNs, and firewalls
- Troubleshoot Python microservices and contribute to automation and monitoring setups
- Implement model serving and orchestration pipelines (MLflow, Kubeflow, etc.)
- Ensure high availability and disaster recovery strategies across systems
Requirements
- 3-7+ years of advanced hands-on experience with Kubernetes administration, including networking, storage, and security
- Proficient in Docker, multi-stage builds, and image lifecycle management
- Strong Linux system administration skills (Ubuntu or RHEL-based systems)
- Experience with cloud platforms, ideally Google Cloud Platform (GCP)
- Solid understanding of CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
- Familiarity with Infrastructure as Code (Terraform, Ansible) and GitOps workflows
- Confident in managing GPU workloads and ML/LLM-serving infrastructure
- Experience with monitoring and observability tools such as Prometheus, Grafana, ELK/EFK stack
- Comfortable with Python microservices and ML workflow troubleshooting
- Fluent English skills at C1 or above
Benefits
- Competitive Salary: Commensurate with your experience and contributions.
- Flexible Work Setup: On-site collaboration in Porto, with the option for full remote work based on strong performance after onboarding.
- Relocation Support: For your on-site onboarding or if you decide to move to Porto, you receive support with logistics, housing and onboarding connections to make it smooth.
- Training & Growth Budget: Set aside for conferences, courses, and certifications.
- Daily Meal Subsidy: Enjoy lunch on the company when working from the office.
- Team Events: From BBQs to game nights and a Christmas party, with the first drinks on the house.
- Onboarding Buddy: You won’t be left alone—get paired with someone who helps you ramp up quickly.
Job title
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