DevOps Engineer (AWS & Kubernetes)

About the role

Levi9 builds and runs its own software, so reliable, secure and automated infrastructure is as important as the code. It is looking for a Mid-level DevOps Engineer to design, build and maintain cloud infrastructure on AWS, run Kubernetes-based platforms and improve CI/CD pipelines. The role sits in the DevOps department, with a department manager guiding career development.

Key responsibilities

• Design, build and maintain cloud infrastructure on AWS using Infrastructure as Code (Terraform or CDK)
• Run and evolve Kubernetes-based platforms (EKS or similar): cluster setup, upgrades, scaling, networking and security
• Build and improve CI/CD pipelines that let teams deliver quickly and safely
• Set up and improve observability: monitoring, logging, alerting and tracing
• Use AI coding tools and agents daily to write IaC, pipelines and scripts, while validating their output
• Help shape how the team uses AI: instructions, rules, agent orchestration and MCP integrations aligned with infrastructure and security standards
• Support the deployment and operation of LLM-powered and agentic features, including cost, scaling and security
• Work with clients on improving their infrastructure, delivery processes and operational practices

Required profile

• 3+ years of experience in DevOps, cloud or infrastructure engineering
• Hands-on experience with AWS core services (EC2, VPC, IAM, S3, RDS, EKS, Lambda or similar)
• Production Kubernetes experience, including Helm and deployment strategies
• Experience building and maintaining CI/CD pipelines
• Clear understanding of AI-related risks such as data privacy, security, secrets exposure and verification of AI output
• Ability to make independent decisions on infrastructure and communicate them to stakeholders
• Excellent communication skills in English; familiarity with Agile

Required skills

• Infrastructure as Code (Terraform preferred)
• Docker, Git and Linux
• Scripting in at least one language (Bash, Python or Go)
• Monitoring and logging tools (Prometheus, Grafana, ELK, CloudWatch or similar)
• Experience with AI development tools (e.g. Claude Code, Cursor, GitHub Copilot)
• Nice to have: GitOps (Argo CD or Flux), service mesh (Istio, Linkerd), other clouds (Azure, GCP), AI/LLM workloads, FinOps, AWS certifications or CKA/CKAD