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
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
- 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
- Passionate, results-focused, good communicator
- Proven experience working in a corporate environment
- Strong relationship management skills
- Stress resistant
- Team player
- Motivator
- Self-driven
- Ability to work in and manage through complex environments
- Machine Learning fundamentals – understanding of model training/evaluation, ability to work with ML pipelines and deployment
- Hands-on experience with ML workflows – ideally you've worked with real models in production or deployed ML applications
- Very good level of spoken and written English
- Cloud services – AWS / Azure
- Azure Service Fabric – nice to have
- Public Cloud (AWS, Azure)
- Databases – basics - Mongo
- Scripting - Bash – advanced, Python, Groovy, NodeJS – optional
- English - advanced both written and verbal (mandatory)
- Agile software methodology – SCRUM
- Design Patterns
- Git
While many of our roles involve just 2–3 steps, some client processes may include additional conversations. Regardless of the path, we aim to keep every step transparent and respectful of your time.
Ready to Start Your Journey?