Senior Software Engineer | Microsoft Careers

What you'll do

• Design and develop core infrastructure services for data engineering workloads on Spark.
• Enhance scalability, resiliency, and observability of Spark-based services through continuous improvement.
• Implement intelligent job/session orchestration and scheduling to optimize workflow efficiency.
• Troubleshoot and improve systems using production instrumentation (logs, metrics, traces).
• Partner with cross-functional teams to deliver end-to-end features for data engineering experiences.

What we're looking for

• Strong software engineering fundamentals including data structures, algorithms, testing, debugging, and performance.
• Experience building and shipping production infrastructure in a cloud environment for backend services or distributed systems.
• Solid understanding of distributed system concepts such as fault tolerance, scaling, scheduling, and resource management.
• Proficiency in at least one backend/system language like Java, Scala, C#, C++, or Python.
• Quick learner with a growth mindset to rapidly adapt to new domains, tools, and codebases.
• Ability to thrive in an AI-powered engineering environment, adopting AI-assisted workflows for productivity improvement.