Software Engineer II

Microsoft • Redmond, WA

7d

About The Position

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric.
Microsoft’s Fabric OneLake team is building the next generation of data experiences for the cloud. We are seeking a Software Engineer II who is passionate about designing and operating large-scale, cloud-native services that power modern analytics and AI-driven workflows. This role focuses on developing storage native intelligent query experiences and semantic data modelling native to storage.
We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability. If you're passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you.

Requirements

• Bachelor's Degree in Computer Science or related technical field AND 2+ 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 are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

• Master's Degree in Computer Science or related technical field AND 3+ 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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 1+ years of experience building scalable cloud services (distributed systems, containers, CI/CD).
• Familiarity with Spark or similar data processing frameworks.
• Solid understanding of distributed systems concepts (fault tolerance, partitioning, caching).

Responsibilities

• Design and implement microservices for large-scale, cloud-native distributed systems that power OneLake’s next-generation data experiences.
• Develop robust APIs and service components with SLAs, telemetry, and operational excellence for high availability and reliability.
• Collaborate with cross-functional teams (PMs, engineers, and partner teams) to translate requirements into scalable and secure service designs.
• Ensure service fundamentals—including reliability, scalability, security, cost optimization, and observability—are embedded in all deliverables.
• Participate in architecture reviews, design documentation, and code reviews, contributing to best practices and technical standards.
• Integrate with data platforms and frameworks such as Spark and OSS table formats (Delta Lake, Apache Iceberg) to enable seamless data workflows.
• Explore and optionally contribute to advanced capabilities like semantic views, embedding pipelines, and vector indexing (FAISS, IVF-PQ, DiskANN).
• Embody our culture and values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees