Software Engineer II

Microsoft Microsoft · Big Tech · Bengaluru, KA, IN · Software Engineering

Software Engineer II role at Microsoft Azure Data engineering team, focusing on building internal tools and engineering systems to improve the quality and reliability of Power BI Desktop and Service. The role involves end-to-end tool development, including architecture, backend services, dashboards, telemetry integration, and AI-powered workflows to enhance developer productivity, test efficiency, release quality, and engineering insights. It requires modernizing engineering processes, integrating GenAI into developer workflows, and delivering secure, scalable, and compliant internal platforms.

What you'd actually do

  1. Develop internal tools and platforms that modernize engineering workflows for Power BI Desktop and Service.
  2. Implement scalable, secure, and reliable systems that support productivity, automation, and compliance across engineering teams.
  3. Integrate GenAI, telemetry, and ML-based intelligence into tools to enhance coverage, detection, and engineering insights.
  4. Modernize legacy systems by migrating them to cloud-native, maintainable architectures.
  5. Build telemetry‑driven insights to improve observability, diagnostics, and product quality.

Skills

Required

  • Bachelor’s degree in Computer Science or related field AND 4+ years of fullstack experience building software tools, internal platforms, automation systems, or developer productivity solutions.
  • Strong coding expertise in C#, TypeScript, Java, Python, or JavaScript.

Nice to have

  • Master’s degree in Computer Science or related field AND 3+ years engineering experience.
  • Experience building distributed systems, APIs, dashboards, or engineering tools.
  • working with test frameworks OR engineering systems (e.g., CI/CD, ADO/GitHub, pipelines).
  • Proven ability to collaborate across global teams and communicate technical concepts clearly
  • Experience building tools or automation for Power BI or other BI/analytics platforms.
  • Familiarity with PowerShell, Azure DevOps (ADO), GitHub Actions, Kusto (KQL), Azure Services.
  • Experience integrating GenAI into developer workflows (prompting, embeddings, agents, retrieval).
  • Passion for improving engineering efficiency through data, telemetry, and intelligent automation.

What the JD emphasized

  • AI-powered workflows
  • GenAI into developer workflows
  • data platform for the age of AI
  • secure, scalable, and compliant internal platforms

Other signals

  • integrate GenAI into developer workflows
  • AI-powered workflows
  • data platform for the age of AI