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Software Engineer II

Microsoft
United States, Washington, Redmond
Oct 29, 2025
OverviewAre you a Software Engineer II who thrives in a cutting-edge environment where you get to work with some of the largest data volumes on the web? Do you have a rich history of crafting innovative solutions utilizing open-source technologies? Are you challenged by large scale projects utilizing trillions of records to drive and innovate product experiences for end-users? Does it sound exciting to design and build modern fraud-detection infrastructure to protect products with speed, resilience and adaptivity? We are looking for a highly motivated developer who is passionate about building scalable analytics/insights platform and set a high bar for performance and usability. Who is also interested in challenging the status quo and finding better ways of doing things and continually developing a growth mindset. You will be working on interesting and exciting use cases that combine mission critical user/usage/revenue data; processing at big data scale and need for generating real-time insights. You will be working in a hybrid technology space that combines the best from Azure and open source world. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
ResponsibilitiesDesign, build and own the highly optimized architecture and systems for data and analytics pipelines, dashboards and metrics leveraging Azure and open source technologies.Build core datasets as well as scalable and fault-tolerant pipelines.Build data anomaly detection, identify trends and build metrics to measure anomaly impact and develop countermeasures to enhance product quality.Collaborate with cross functional partners including data scientists, product managers and software engineers to design and develop end-to-end data assets that help improve our products.
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