Software Engineer 2 Job at Microsoft Corporation (Hyderabad)

Job Responsibility

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

Bachelor's degree in computer science engineering, or related field
2–5 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

Experience with cloud platforms and distributed/service-oriented architecture
Familiarity with reliability, monitoring, and performance optimization practices
Strong collaboration and communication skills, with experience in design reviews
Passion for building impactful, user-facing AI solutions