Senior Software Engineer

MicrosoftRedmond, WA
1dHybrid

About The Position

LLMs are transforming every industry from energy to agriculture, from healthcare to personalized banking. At Bing Growth team, we focus on building and distributing AI first search experiences that help users achieve more with each search. Through data driven and agile experimentation we disrupt what search engines are capable of and deliver delightful user experiences. As a Senior Software Engineer on the Growth team, you will collaborate closely with cross-functional teams to create innovative and user-centric products that bring the best of AI to search experiences. You will be responsible for driving end-to-end (ideation, functional spec, coding, tests, and capacity management) prototypes and ideas that push the envelope, running and analyzing the A/B experiments, and iterating based on metric movements and user feedback. This opportunity will allow you to impact hundreds of millions of users, improve your experimentation and metrics skills, and hone your ideation and pitching skills. 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.

Requirements

  • Bachelor'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 OR equivalent experience.
  • 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.

Nice To Haves

  • Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • 3+ years experience in driving cross organization features functional spec and system design in deep technical areas
  • 3+ years experience working with user facing feature development, A/B experimentation, and improving product metrics
  • 2+ year(s) experience applying solid problem-solving skills, maintaining a results-driven approach, and working independently in dynamic environments
  • 2+ year(s) experience in growth projects / features.
  • 1+ year(s) experience building features with LLMs.

Responsibilities

  • Collaborates with appropriate stakeholders to determine user requirements for a scenario.
  • Drives identification of dependencies and the development of design documents for a product, application, service, or platform.
  • Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
  • Leverages subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items.
  • Proactively seeks new knowledge and market trends (example: new technical solutions and AI capabilities) and develops ideas, plans and functional specs on how we can integrate these in our search experiences.
  • Maintains and optimizes our live site monitoring
  • Improving the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
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