{"id":2056182,"url":"https://alion.io/job/microsoft-senior-software-engineer-39","title":"Senior Software Engineer","company":{"id":18,"name":"Microsoft","domain":"microsoft.com","url":"https://alion.io/company/microsoft","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":75,"open_postings":85,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":119800,"max":234700,"currency":"USD","period":"year","gross":null,"usd_annual":234700},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon DocumentDB","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"JavaScript","optional":false},{"name":"Linux","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-02-12T07:36:48Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-11T00:43:26Z","board_verified":true,"closed_at":null,"days_open":240,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":239},"description":"OverviewMicrosoft 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.\nMicrosoft’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.\nWithin 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.\nAzure DocumentDB is a fully managed, open source, MongoDB compatible document database service designed for modern, cloud native applications. Built on the open source DocumentDB engine and backed by the power of Azure, it delivers predictable low latency performance, flexible data modeling and seamless horizontal, vertical, and storage scaling.\nWe are hiring a senior software engineer with deep expertise in database internals and systems design to help extend PostgreSQL to power large scale document workloads. As part of the DocumentDB engine team, you will design and develop foundational features across the query, indexing subsystem and storage layer to power mission critical workloads running on Azure.\nWe 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.\nResponsibilities\nLead deep work on PostgreSQL internals (index access methods, operator classes) to design, implement and evolve indexing strategies for largescale unstructured / semi-structured data.\nExtend PostgreSQL’s query engine by analyzing execution plans, introducing BSON aware operators, custom scan nodes and new cursor/continuation semantics to match NoSQL query needs and ensure efficient execution at scale.\nDesign and tune index pruning strategies that keep large tables and indexes lean without regressing query performance.\nCollaborate across the PostgreSQL, MongoDB, and Linux Foundation hosted DocumentDB communities to share vision, align on roadmap priorities, and contribute features that advance the open source DocumentDB engine.\nProfile and analyze distributed system to identify performance bottlenecks.\nConduct and participate in design/code reviews and help shape and steer the team coding guidelines.\nEmbody our culture and values\nQualifications\nRequired Qualifications:\nBachelor'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\nOR equivalent experience.\nAdditional Requirements:\nAbility 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:\nMicrosoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.\nPreferred/Additional Qualifications\nExperience with internals of PostgreSQL or similar Enterprise Database Management system, including Storage Engine and High Availability.\nExperience building Distributed Systems with strong guarantees.\n2+ years of experience in designing, developing and shipping system level features in a large-scale cloud application or a backend distributed syste\n2+ years of experience developing and maintaining high-performance libraries or software engineering with a focus on large distributed systems involving concurrency, storage systems or databases.\n#azdat #azuredata #documentdb #postgresql #postgres #databases\nSoftware 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.\nCertain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:\nhttps://careers.microsoft.com/us/en/us-corporate-pay\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.\nMicrosoft 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. 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