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 RoleSalary: 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?
Skills Required
- Advanced Bash scripting experience
- Experience with AWS and Azure public cloud services
- Knowledge of Infrastructure as Code and cloud environment administration
- Experience with AWS services including EC2, Lambda, and S3
- Experience with Azure services including AKS, Cosmos DB, and Virtual Machines
- Experience with Jenkins, Docker, Kubernetes, and Terraform
- Basic MongoDB knowledge
- Machine learning fundamentals, including model training and evaluation
- Hands-on experience with ML workflows and deployment of ML applications
- Advanced spoken and written English
- Experience working in a corporate environment
- Strong communication and relationship management skills
- Python experience
- Azure Service Fabric
- Node.js experience
- Agile Scrum methodology
- Design patterns
- Git
Ness Digital Engineering Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ness Digital Engineering and has not been reviewed or approved by Ness Digital Engineering.
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Healthcare Strength — Healthcare coverage is often positioned as comprehensive, with medical and dental described as strong in North America. Wellness programs are also emphasized as part of the core package.
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Flexible Benefits — Flexible or remote work options are frequently highlighted as part of the overall rewards experience. Learning and upskilling support is repeatedly framed as a meaningful benefit tied to the employee value proposition.
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Fair & Transparent Compensation — Pay is characterized as generally “okay to good,” with stronger packages appearing for certain senior roles and some U.S. positions. This suggests compensation can be market-aligned when role level and geography are favorable.
Ness Digital Engineering Insights
What We Do
Ness Digital Engineering, acquired by global investment firm KKR in 2022, is a full-lifecycle digital engineering firm offering digital advisory through scaled engineering services. Headquartered in New York, Ness serves our customers across 11 innovation hubs in the US, Eastern Europe, and India. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. For more information, visit www.ness.com
