Senior DevOps Engineer

Life at Ness
At Ness, people come first. Here, you'll be part of a vibrant team that values curiosity, innovation, and growth. We work with industry-leading clients on projects that truly make an impact while supporting every team member in carving out their unique career path. With resources for learning, certifications, and hands-on experiences, Ness offers you more than just a job—it’s a place where your ideas, ambition, and well-being matter.
The Role
We are searching for a DevOps Engineer to become a new valuable member of the team for our important European client with a long-lasting history in the market. Although the company was initially established with a focus on tire manufacturing, it today holds a strong position also around tire-related services, high-tech materials, or mobility experience solutions - telematics. Mobility experience is an area where Ness is supporting our client to bring high-quality and innovative solutions to their customers. We would like to offer you a unique opportunity to collaborate on our joint success.
Salary: from 3.000 EUR/month, depending on skills and experience + benefits. The final offer for the selected candidate will reflect the candidate´s comprehensive assessment, skills, and past work experience.
Location: Slovakia only
What you'll do:
Proficient with AI tools / AI enthusiast
Administration and configuration of IaC (Infrastructure as code) driven cloud environment (AWS, Azure)
Help deploy and maintain applications across AWS and Azure. You understand cloud basics (EC2, Lambda, S3, AKS) and can work with the team to set up and troubleshoot environments
There are several technologies being used throughout the environment, starting from Azure (AKS, Cosmos DB, Virtual Machines), AWS (Lambda, CloudFront, EC2, S3), Jenkins, Docker, Kubernetes, Terraform
Build automation tools and observability solutions that the team actually uses—not one-off scripts, but real infrastructure code using Terraform, Docker, and Kubernetes
Contribute to infrastructure as code, CI/CD pipelines, and operational tooling alongside experienced DevOps engineers. You bring a strong coding background, which most DevOps teams need
Understanding of machine learning workflows: data preprocessing, model training, evaluation, deployment
What you'll bring:
Common requirements:
Passionate, results-focused, good communicator
Proven experience working in a corporate environment