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Do you love working with data, Artificial Intelligence (AI), and large distributed systems? Do you enjoy solving complex technical challenges and delighting customers while pushing the boundaries of cutting-edge technology at immense scale? Azure Databricks is a Azure service jointly developed and operated by Databricks and Microsoft. It offers the same core Databricks platform but with deep integration into Azure’s ecosystem with a mission to simplify and democratize data and artificial intelligence. From foundational analytics to the bleeding edge of generative AI, our platform is trusted by customers to unlock the value of their data—securely, reliably, and at scale. We're not just building software—we're shaping the future of intelligent systems. We are looking for a Senior Software Engineer to join our Azure Databricks team with a specialized focus on building scalable services, developing high-quality features, and delivering a world-class experience to customers. This is a unique opportunity to work at the intersection of distributed systems, cloud platforms, and customer impact. You won’t be just writing features—you’ll be designing and optimizing services at scale, crafting solutions that anticipate customer needs, and directly collaborating with Databricks to understand their scenarios and create lasting value.
Job Responsibility:
Designing and building distributed systems that interact between different cloud technology services and infrastructures
Conducting research and maintain an awareness of industry knowledge and identifies ways the information can be applied
Mentoring other teammates and cross teams, providing technical direction for the engineering organization
Writing high quality documentations including design documents, troubleshooting guides and software specs
Participating in onboarding, code/design reviews, and regular meetings with the engineering teams that develop and manage those products
Designs, develops, and maintains telemetry pipelines and monitoring tools that detail operations metrics
Conduct deployment of the software products through Azure DevOps and CI/CD (continuous integration/continuous delivery) process
Responds to incidents during regular on-call rotations. Improves and optimizes supportability of the product through innovative ideas
Monitor performance and reliability of services and troubleshoot problem areas as needed
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Nice to have:
Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python