Software Engineer (Voice AI / Backend)
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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.
Azure 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.
We are hiring a Senior Softwae 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.
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.
Lead deep work on PostgreSQL internals (index access methods, operator classes) to design, implement and evolve indexing strategies for largescale unstructured / semi-structured data.
Extend 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.
Design and tune index pruning strategies that keep large tables and indexes lean without regressing query performance.
Collaborate 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.
Profile and analyze distributed system to identify performance bottlenecks.
Conduct and participate in design/code reviews and help shape and steer the team coding guidelines.
Embody our culture and values
Required Qualifications:
Other 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:
Preferred Qualifications:
#azdat #azuredata #documentdb #postgresql #postgres #databases
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.
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Microsoft builds Windows, Azure, Office and the Copilot family of AI assistants, and operates one of the largest AI training and inference fleets in the world. Microsoft Research and the AI platform teams work across foundation models, systems for large-scale training, and applied ML in every product line.
Founded in 1975 and headquartered in Redmond, Washington, the company is also OpenAI's principal compute partner and ships AI tooling for developers through GitHub, VS Code and Azure AI.
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