Billennium is a global technology company with over 20 years of experience, committed to innovation and empowering businesses. As an employer, we offer a supportive, growth-focused environment where collaboration and creativity thrive. Join us to shape the future of technology together!
We’re looking for a Senior DevOps / Cloud Engineer with strong Software Engineering and Machine Learning skills to join a modern, engineering-driven project.
This is not a pure infrastructure role. We’re looking for someone who feels confident in cloud and DevOps, but also understands how applications are designed, developed and run in production.
Our preferred combination is Cloud/DevOps + Software Engineering. Experience with ML/AI or MLOps is a great advantage, but it doesn’t need to be your strongest area.
What you’ll work with:
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Designing and developing cloud-native solutions
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Building and improving cloud infrastructure and deployment processes
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Working with Kubernetes, containers and Infrastructure as Code
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Developing and maintaining CI/CD pipelines
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Contributing to application and system architecture
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Working closely with software engineers and understanding the full application development lifecycle
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Supporting scalable, reliable production environments
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Depending on your experience, contributing to ML/AI infrastructure, pipelines and model deployment
What we’re looking for:
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Senior-level experience in DevOps, Cloud Engineering or Platform Engineering
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Strong hands-on experience with at least one major cloud platform: AWS, Azure or GCP
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Experience with Kubernetes and Docker
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Strong knowledge of Terraform / Infrastructure as Code
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Practical experience with CI/CD, e.g. GitHub Actions, GitLab CI, Jenkins or Azure DevOps
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Solid Software Engineering background, not only infrastructure experience
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Understanding of application architecture, system design and software development lifecycle
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Hands-on development experience with languages such as Python, Java, .NET or Go
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Experience with APIs, microservices, distributed systems or backend development
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Ability to look at a solution from both the infrastructure and application perspective
Nice to have:
Experience in the ML/AI ecosystem, for example:
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MLOps
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ML pipelines
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Model deployment / model serving
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AI/ML infrastructure
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MLflow or Kubeflow
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SageMaker, Azure ML or Vertex AI
Perks and benefits:
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Comprehensive benefits - enjoy Udemy for Business, private medical care, Multisport card, veterinary package, language lessons, and shopping vouchers.
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Flexibility - adaptable working hours and remote/hybrid work options to suit your lifestyle & location.
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Career growth - access opportunities for professional development and learning, including perks related to our official partnerships with global IT giants: Microsoft, AWS, Snowflake, Salesforce & more.
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Global collaboration - work with a diverse, international team.
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Innovative environment - be part of a forward-thinking and growth-oriented workplace.
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Engaging community – Work with passionate professionals and participate in team-building events, hackathons, and CSR initiatives to make an impact beyond work.
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Team-building events including our company tradition (annual company event in Mazury).
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A pleasant surprise to start your journey with us in the form of a welcome pack.
Recruitment process:
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HR call
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Technical Interview
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Interview with the dedicated Client
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Final decision/ Feedback
Sounds interesting? Click "Apply" and have a chance to hear more!
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