Senior DevOps Engineer – Azure & Databricks (AI/ML Focus)
More about us
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!
About the role
We are seeking a Senior DevOps Engineer with expertise in Azure Databricks and cloud-native AI/ML operations. You will be a key contributor to a next-generation AI platform built on Azure Databricks, enabling data scientists and engineers to train, deploy, monitor, and govern ML and GenAI models efficiently. This role blends MLOps best practices, cloud-native architecture, and Databricks expertise to ensure AI models are production-ready, scalable, and compliant with enterprise standards.
Key Responsibilities:
Design, implement, and optimize ML/AI pipelines for training, deployment, monitoring, and governance.
Leverage Azure Databricks capabilities including MLFlow for experiment tracking and Unity Catalog for data governance.
Build and maintain CI/CD pipelines as well as automated ModelOps workflows for AI/ML applications.
Ensure data architecture supports schema evolution, governance, and compliance requirements.
Operate in a cloud-native Azure environment to deliver robust and scalable ML solutions.
Requirements:
· Proven experience with Azure Databricks, including MLFlow and Unity Catalog.
· Strong background in DevOps for ML/AI, including CI/CD and pipeline automation.
· Solid understanding of data architecture, schema evolution, and governance principles.
· Experience working in Microsoft Azure or similar cloud environments.
· Hands-on experience with Infrastructure as Code (IaC) using Terraform.
· Fluent English in speech and writing (at least B2/C1).
Nice to Have:
· High-level understanding of machine learning and generative AI concepts and workflows.
· Solid knowledge of containerization (Docker) and orchestration (Kubernetes).
· Experience in Python software development and scripting.
· Hands-on experience with TensorFlow, PyTorch, and Scikit-learn in a Databricks environment.
Perks and benefits:
Comprehensive benefits - enjoy Udemy for Business, private medical care, Multisport card, veterinary package, language lessons, and shopping vouchers.
Flexibility - adaptable working hours and remote/hybrid work options to suit your lifestyle & location.
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.
Global collaboration - work with a diverse, international team.
Innovative environment - be part of a forward-thinking and growth-oriented workplace.
Engaging community – Work with passionate professionals and participate in team-building events, hackathons, and CSR initiatives to make an impact beyond work.
Team-building events including our company tradition (annual company event in Mazury).
A pleasant surprise to start your journey with us in the form of a welcome pack.
Recruitment process:
HR call
Technical Interview
Interview with the dedicated Client
Final decision/ Feedback
Sounds interesting? Click "Apply" and have a chance to hear more!
Senior DevOps Engineer – Azure & Databricks (AI/ML Focus)
Senior DevOps Engineer – Azure & Databricks (AI/ML Focus)