Software Engineer 2

Commercial Engineering & AI (CEAI) organization is at the forefront of Microsoft’s mission to accelerate AI-driven business value for customers and partners. As a Software Engineer in CEAI, you will join a dynamic team dedicated to building innovative AI solutions that enrich employee experiences, reinvent customer engagement, and reshape business processes. We are looking for a skilled and motivated Software Engineer to join our dynamic team. You will be responsible for designing, developing, and maintaining software applications and systems to support our business goals. You will work in a collaborative, growth-mindset environment, leveraging Microsoft’s cutting-edge AI stack-including Copilot, LLMs, and cloud-native technologies-to deliver scalable, secure, and high-impact products. The ideal candidate will have a strong background in software development, be detail-oriented, and possess excellent problem-solving skills. Our engineers are empowered to experiment, learn, and drive measurable impact across Microsoft’s global commercial ecosystem.

Responsibilities

• Understand end-to-end business processes, workflows, and data flows across the Microsoft sales ecosystem, and identify opportunities to simplify, automate, and agentify those experiences.
• Rapidly prototype and deliver POCs and iterate on solutions using an experimentation-driven engineering approach.
• Design, build, and ship scalable, production-quality features and intelligent services using modern engineering practices.
• Collaborate across teams to integrate systems, data, and signals into cohesive AI-powered workflows.
• Debug, troubleshoot, and improve system reliability and performance using telemetry and diagnostics.
• Participate in code reviews, architecture discussions, and contribute to engineering best practices.
• Drive continuous improvement by identifying opportunities to optimize performance, reliability, and developer productivity.
• Build secure, compliant, and responsible AI solutions ready for production scale.
• Contribute to a culture of continuous learning, experimentation, and engineering excellence.

Qualifications

Basic Qualifications

• Bachelor’s degree in computer science, Engineering, or a related technical field.
• 6+ years of professional software engineering experience with hands-on coding in languages such as C#, Java, Python, or React.
• Proficiency in AI-native development - working within Agent Harnesses (GitHub Copilot CLI, Coding Agents), authoring Markdown specs/ADRs and YAML configs as Agent-consumable inputs, orchestrating multi-step Agentic workflows across the SDLC, and reviewing Agent-generated code and PRs with production-grade rigor.
• Strong fundamentals in data structures, algorithms, object-oriented design, and scalable systems.
• Experience building, testing, debugging, and maintaining production-quality software, following established engineering practices as well as leveraging large language models (LLMs).
• Solid problem-solving and technical judgment skills, with the ability to design scoped solutions, debug complex issues, and improve service performance.
• Excellent communication and collaboration abilities.

Preferred Qualifications

• Experience with AI/ML frameworks, LLMs, and Copilot technologies.
• Proficiency in multiple programming languages and development frameworks.
• Familiarity with DevOps practices, CI/CD pipelines, and Infrastructure as Code.
• Familiarity with version control systems (e.g., Git).
• Use of AI and familiarity with Claude, GitHub Copilot for code generation.
• Knowledge of security, compliance, and Responsible AI principles in software development.
• Prior experience working in agile, cross-functional teams.
• Demonstrated ability to drive innovation and deliver results in a fast-paced environment.

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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.