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# Senior Software Engineer

- **Company:** Microsoft
- **Location:** Redmond, WA, United States
- **Experience:** Expert
- **Salary:** $119,800.0 - $234,700.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, C Sharp (Programming Language), C++ (Programming Language), Software Quality, Code Review, Software Debugging, Information Retrieval, Python (Programming Language), Systems Development Life Cycle, Recommender Systems, Systems Architecture, Large Language Models, Information Technology
- **Published:** October 14, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28105625/Senior-Software-Engineer-Washington-Redmond-1210

## About the Role

* 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., * 3+ years of experience working training/evaluating search/information retrieval systems as Product Manager, Software Developer, or Data Scientist
 * Experience with search, retrieval, ranking or recommendation systems, or large language model (LLM)-powered experiences.
 * Solid technical depth, including comfort with system architecture and APIs, and the ability to engage closely with engineering and data science.
 * A track record of shipping complex, cross-team products or features at scale, from early concept to general availability.

#CAP #Copilot

## Description

* AI-native engineering: Champion responsible use of AI across the SDLC, improve team productivity with AI tools, and ensure accountability for AI-generated artifacts.
 * Raise engineering quality and reliability: Lead code reviews, debugging, incident retrospectives, telemetry practices, and continuous improvements in code quality, testability, security, and maintainability.
 * Architecture and cross-team design: Guide complex system design, evaluate technology choices, manage dependencies, and ensure solutions meet scalability, reliability, performance, cost, and compliance requirements.
 * Delivery andlive-site health: Drive project execution, safe deployments, observability, incident response, customer-focused decision making