Software Engineer 2

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Skills you'll use

What you'll do

• 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.
• Build secure, compliant, and responsible AI solutions ready for production scale.
• Contribute to a culture of continuous learning, experimentation, and engineering excellence.

Who can apply

• Required (Basic):
• Bachelor’s degree in computer science engineering, or related field.
• 3–5 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.

About Microsoft

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