Site Reliability Engineer responsible for infrastructure supporting AI platform. Safeguarding US customer data and ensuring compliance in the Aerospace and Defense sector.
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
Job type
Experience level
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Degree requirement
Tech skills
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