Software Engineering IC3

Overview

Now more than ever, we live in an age where AI and Cloud Services are empowering people around the world to achieve more. Behind these innovative services exists a critical infrastructure that is bringing them to life. The Search & AI Platform is building that foundation which makes Bing and Copilot possible on a global scale. Our product is impacting individual's lives in scenarios such as Web Search, AI chat, AI grounding, and local deal finding.

As a Software Engineer on the Search & AI Platform team you will be collaborating in building the next generation of storage and computation fabric using in-house and open-source technologies. You will be hands-on in a massively scaled and distributed system. Our developers design, implement, and rollout features with a data-driven and test-driven methodology. Furthermore, you will have the opportunity to work with cutting-edge cloud and machine learning technologies. As part of your work, you will participate in agile scrum, collaborate with people across a variety of domain expertise, and have opportunities to explore and contribute to many areas. 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.

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.

Responsibilities

• Collaborate on architectural proposals and feature development with minimal supervision. Responsibilities include testing and evaluating design options, contributing to design documents, and ensuring solutions meet performance, scalability, security, and compliance standards.
• Proactively ensure product reliability by using debugging, testing, logs, and telemetry; conduct incident retrospectives and implement preventive measures.
• Write, maintain, and improve code for products or features, applying best practices and addressing blockers as needed.

AI-Native Development

Uses appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner. Takes responsibility for the content of their AI-generated changes to artifacts, reviewing all changes and applying appropriate tooling and processes with minimal guidance.

Coding

Supports efforts to use debugging, tests, tools, logs, telemetry, and other methods to proactively verify assumptions before issues occur for product features in production. Conducts incident retrospectives to identify root causes of problems, implements repair actions, and identifies mechanisms to prevent incident recurrence with minimal supervision. Under minimal guidance, applies least-access principles, and uses logging, telemetry, and other appropriate mechanisms to investigate issues while retaining privacy and security.Reviews product feature code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product feature. Contributes to bringing insight to code reviews to help improve code quality, coaching and providing feedback to develop other engineers' skills with minimal guidance. Contributes to code reviews in a timely fashion that helps accelerate the pace of development on the team. Considers diagnosability, reliability, testability, and maintainability when reviewing code and understands when code is ready to be shared or delivered. Applies and reviews for coding patterns, security risks, compliance issues, and best practices in code reviews. Uses automated source code analysis tools that are incorporated into the build/development process with minimal supervision.Creates and implements code for a product, service, or feature, reusing code as applicable with minimal supervision. Writes and learns to create code that is extensible and maintainable. Considers diagnosability, reliability, and maintainability with few defects, and understands when the code is ready to be shared and delivered. Applies coding patterns and best practices to