Shashank Goel

About Shashank Goel

Software Engineer at Microsoft specializing in DevOps, backend systems, and platform engineering, with a focus on building scalable internal tooling for complex, multi-team environments.At Microsoft, I designed and shipped a build-time configuration library enabling type-safe schema generation, configuration merging, validation, and consistent versioning across distributed systems operating in multi-cloud environments. Alongside engineering the platform, I served as Product Owner, defining requirements, prioritizing features, and driving adoption across teams.I also developed an AI-powered PR review assistant that runs on live pull requests to detect and automatically replace hardcoded configurations with references to the shared library. This improved code quality, enforced consistent usage, and reduced manual review effort across teams.On the DevOps side, I modernized CI/CD pipelines by migrating legacy release flows to YAML-based, policy-gated pipelines. I added automated versioning, security and correctness analyzers, and release validations, resulting in a 40 percent reduction in official build time and a significantly improved developer experience.I enjoy working at the intersection of engineering productivity, cloud infrastructure, and automation, building systems that scale reliably while making developers more effective.Outside of work, I explore mobile app development using Flutter and experiment with AI agents and applied AI tooling, particularly around developer workflows and automation.Tech: Azure, Golang.NET, C#, PowerShell, CI/CD, Kubernetes, Infrastructure as Code (IaC), KQL, Azure AI Studio, Platform Engineering, DevOps

Experience

1. Software Engineer

   Microsoft

   Jul 2023 — Present

   Built and scaled internal platform tooling for service teams, including a build-time, type-safe configuration library supporting both.NET and Go services. The library replaces hardcoded shared configurations with validated library references and enforces consistent versioning across distributed systems operating in multi-cloud environments. Modernized CI/CD pipelines using policy-gated YAML workflows, reducing build times by 40 percent and improving developer productivity.Developed AI-powered tooling for service teams, using iterative prompt tuning and context-aware logic to automatically replace hardcoded shared configurations with build-time type-safe library references and improve consistency during code reviews.

Education

• National Institute of Technology Kurukshetra

  Bachelor's degree, Computer Engineering

  2019

• Blue Bells Model School, Gurugram

  High School, Non-Medical

  2019