Software Engineer at Microsoft

, , United States -

Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

165200.0

Posted On

15 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C, C++, C#, Java, JavaScript, Rust, Python, Database Systems, Distributed Systems, Cloud Computing, Performance Optimization, Replication, Query Processing, Storage Engines, Transaction Management, High Availability

Industry

Software Development

Description

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 databases team builds and maintains Microsoft's operational Database systems. We store and manage data in a structured way to enable multitude of applications across various industries. We are on a journey to enable developer friendly, mission-critical, AI enabled operational Databases across relational, non-relational and OSS offerings. Are you excited by the challenge of building cloud-scale systems that push the boundaries of performance, availability, and intelligent data access? Are you passionate about database systems, distributed infrastructure, and the opportunity to work on deep technical problems alongside experienced engineers and researchers? The Azure PostgreSQL Database Services team is hiring early-career engineers with advanced degrees in Computer Science or related fields to join our mission to build the next-generation PostgreSQL platform on Azure. This platform powers mission-critical applications across startups, enterprises, and AI-driven workloads. As a core part of the team, you will contribute to innovations in storage systems, high availability, replication, query processing, and PostgreSQL engine internals, gaining deep experience in real-world distributed systems. You’ll work in a collaborative, high-growth environment where your ideas, curiosity, and academic expertise are valued and developed. About the Team We are a fast-growing, highly collaborative team committed to advancing the future of intelligent database systems and empowering developers. Our work spans deep innovation in the PostgreSQL engine, AI-optimized indexing and search, scalable APIs, developer experiences, and cloud platform integrations. We believe that innovation happens at the intersection of systems craftsmanship, developer empathy, and bold experimentation. We foster an inclusive, high-performing culture where diverse perspectives, continuous learning, and a commitment to excellence drive extraordinary outcomes. 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. Why This Role Is Unique Technical Depth: Work at the intersection of research and production in one of the most technically demanding areas of cloud infrastructure: relational databases on a global scale. Mentorship and Growth: You’ll work alongside and learn from senior engineers and domain experts in distributed systems, databases, and cloud platforms. They’ll mentor and support you as you build your skills, deepen your expertise, and grow into a trusted contributor to real-world systems. Impact and Learning: Your work will ship to production and serve real users. You’ll learn how world-class engineering teams operate and how to turn great ideas into durable, scalable systems. Community and Culture: Be part of a collaborative, inclusive, and high-performing team that values intellectual curiosity, academic excellence, and real-world impact. Responsibilities Contributes to the design and implementation of high-scale, distributed components that form the foundation of Azure’s managed PostgreSQL service. Works on deep systems problems in areas such as database internals, replication, storage, query processing, and performance optimization. Collaborates with experienced engineers and mentors to translate ideas from research and design into production-grade systems. Writes high-quality code and participates in design reviews, code reviews, and operational reviews. Learns how cloud infrastructure, managed database services, and global-scale systems operate in practice. Stays current with academic and industry trends in databases and systems, and applies cutting-edge ideas to real-world engineering problems. Qualifications Required Qualifications Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Rust, or Python, OR equivalent experience. Additional 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 Bachelor's Degree in Computer Science or related technical field AND 1+ year(s) technical experience with high performance native software engineering with C, C++, or Rust, OR Master's Degree in Computer Science or related technical field with technical experience with high performance native software engineering with C, C++, or Rust, OR equivalent experience. Past research or engineering projects in database internals areas, such as storage engines, transaction management, and query optimization. 1+ year(s) experience with database systems in cloud computing space. Professional or academic experience in database systems internals. Experience with systems engineering. #azdat #azuredata #postgres #databases #IC2SWE #EiP Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 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 $109,000 - $180,400 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.

Responsibilities

Contribute to the design and implementation of high-scale, distributed components for Azure’s managed PostgreSQL service. Collaborate with experienced engineers to translate ideas from research into production-grade systems.