Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Nov 9, 2026.
What we build, we also run, which means that reliable, secure and automated infrastructure is just as important as the code itself at Levi9. From cloud-native platforms and Kubernetes clusters to data pipelines and AI workloads, Levi9 offers numerous possibilities and rich expertise.
Project, teams, requirements & duties
What you will be working on?
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 enable teams to deliver quickly and safely
Set up and improve observability: monitoring, logging, alerting and tracing, so issues are caught before clients notice them
Use AI coding tools and agents as part of your daily work to write IaC, pipelines and scripts, troubleshoot incidents and speed up analysis, while critically validating everything they produce
Shape how the team works with AI: instructions, rules, agent orchestration, reusable skills and MCP integrations that make AI follow our infrastructure and security standards by default
Support the deployment and operation of LLM-powered and agentic features where relevant, including cost, scaling and security considerations
Learn and grow with DevOps and cloud experts in Levi9, with room to develop mentoring, technical leading and cloud architecture skills
Work closely with clients on suggesting improvements to their infrastructure, delivery process and operational practices
What do we expect from you?
We are looking for a Medior DevOps Engineer with solid hands-on experience in AWS and Kubernetes, who sees AI tools as part of the craft and knows when to trust them and when not to.
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)
Hands-on experience running Kubernetes in production, including Helm and deployment strategies
Experience with Infrastructure as Code (Terraform preferred)
Experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Azure DevOps, Jenkins or similar)
Solid knowledge of Docker, Git and Linux
Scripting skills in at least one language (Bash, Python or Go)
Experience with monitoring and logging tools (Prometheus, Grafana, ELK, CloudWatch or similar)
Daily use of AI development tools (e.g. Claude Code, Cursor, GitHub Copilot), including agent modes and harness setup
Clear understanding of AI-related risks: data privacy, security, secrets exposure and verification of AI output, especially when AI touches infrastructure
Ability to make independent decisions on infrastructure approach and to communicate them to stakeholders
Familiarity with Agile methodologies
Excellent communication skills in English
Nice to have:
GitOps experience (Argo CD or Flux)
Experience with service mesh (Istio, Linkerd) and Kubernetes security tooling
Experience with other cloud platforms (Azure or GCP)
Experience deploying and operating AI/LLM workloads (e.g. Amazon Bedrock, SageMaker, GPU workloads on Kubernetes)
Cost optimization and FinOps practices
Security and compliance basics (CIS benchmarks, policy as code, secrets management)
AWS certifications (e.g. Solutions Architect Associate, DevOps Engineer Professional) or CKA/CKAD
Experience in mentoring and leading DevOps initiatives
Our projects & stack:
Levi9 builds and maintains business-critical software in domains such as e-commerce, fintech, energy, media and mobility.
Most of our projects are cloud-based (Azure, AWS or GCP) and cover the full stack:
modern web and mobile front ends
REST and GraphQL APIs and microservices
event-driven integrations and data platforms
CI/CD pipelines and containerized infrastructure (Docker, Kubernetes)
AI-powered and agentic features
Our teams:
Depending on the project, our teams consist of a mix of front-end and back-end engineers, QA engineers, DevOps engineers and a delivery manager (scrum master), while the product owner is on the client side. We use Scrum as a framework for project management: we hold daily standup meetings where every team member can have a say.
Your position in the organization:
This position will be a part of our DevOps department, and your department manager will be there to guide you and support your career development.

