Senior Software Engineer

Overview

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 Azure Data Analytics team builds the core analytics experiences in Microsoft Fabric. We own the Data Warehouse, Data Engineering, Data Science, AI, and Power BI workloads, enabling customers to ingest, transform, analyze, and derive insights from structured, semi-structured, and unstructured data at enterprise scale. Our team is at the center of Microsofts strategy to deliver a seamless, end-to-end analytics experience in Fabric.

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.

The Fabric Data Engineering Experience & Infrastructure team is looking for a passionate engineer to help build the next generation of infrastructure services for Microsoft Fabric Data Engineering, powered by Apache Spark.

If you enjoy working on high-scale distributed systems, developer experiences, and platform infrastructure that makes engineers more productive, this is a great place to do it.

What you'll work on

• Build and operate core infrastructure services that power Fabric Data Engineering on Spark
• Improve scalability, resiliency, and observability across Spark-based services
• Partner closely with product, client/UX, and runtime teams to ship end-to-end experiences
• Drive engineering excellence through design reviews, testing, incident learnings, and performance tuning
• Intelligent job/session orchestration and scheduling improvements
• Runtime performance optimizations (caching, adaptive execution, cost/perf tuning)
• Debuggability & observability (logs/metrics/traces, diagnostics experiences)
• Reliability tooling (auto-heal, safe rollouts, incident reduction)
• Data engineering developer experience improvements (config, templates, integrations)

What we're looking for

• Strong software engineering fundamentals and experience shipping production services
• Comfort working with distributed systems and performance-critical code
• Experience with Spark and/or big data systems is a big plus (but not required if you're eager to learn)
• Collaborative mindset and ownership mentality-someone who likes building, iterating, and improving systems over time

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.

Responsibilities

• Design and develop world-class experiences for a new big data cloud offering, with an emphasis on scale, reliability, and performance.
• Build and evolve core infrastructure services that power data engineering and analytics workloads (compute, runtime services, job/session management, configuration, and platform integrations).
• Drive technical design and implementation end-to-end: translate requirements and documentation into robust production code.
• Troubleshoot and improve systems using source code analysis and production instrumentation (logs, metrics, traces), and turn operational learnings into engineering improvements.
• Improve platform scalability, resiliency, and observability, including automation to reduce operational toil.
• Partner closely with product and engineering teams to deliver end-to-end features and continuously raise the quality bar.
• Other:
• Embody our culture and values

Qualifications

Required Qualifications:-

• Bachelors 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.
• Strong software engineering fundamentals (data structures, algorithms, testing, debugging, performance).
• Experience building and shipping production infrastructure (backend services, distributed systems, or platform components) in a cloud environment.
• Solid understanding of distributed systems concepts: fault tolerance, scaling, scheduling, and resource management.
• Proficiency in one or more backend/system languages (e.g., Java, Scala, C#, C++, or Python).
• Quick learner with strong growth mindset-able to ramp up rapidly in new domains, tools, and codebases.
• Ability to thrive in an AI-powered engineering environment: comfortable adopting AI-assisted workflows (e.g., copilots/agents), iterating quickly, and continuously improving productivity and quality.

Additional Job Requirements:-

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.

Preferred Qualifications :-

• Experience designing and operating large-scale infrastructure for data platforms or compute services (e.g., job orchestration, runtime services, cluster/resource management, multi-tenant systems).
• Experience with observability and operational excellence (SLOs/SLIs, alerting, incident response, postmortems).
• Performance and reliability engineering experience (profiling, optimization, capacity planning, cost/performance tradeoffs).
• Familiarity with modern cloud-native patterns (service ownership, CI/CD, safe deployments, automation).

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.