Full Stack Developer

Senior Software Engineer - I (Full Stack Developer) at Planview.

Location

Bengaluru, India

Experience

6–10 Years

Work Mode

Hybrid — two days per week in the office (mandatory)

Team

Release and Verify Product Line

About the role

You will own full-stack feature delivery for Planview’s SaaS product line, working across backend services and frontend applications in a collaborative, hybrid environment.

Key responsibilities

Design, build, and maintain full-stack features using C# / .NET Core and React.

Design and implement RESTful APIs.

Develop and maintain SQL Server schemas, queries, and stored procedures.

Build automated end-to-end tests using Cypress and unit tests using Vitest.

Manage Git/Bitbucket workflows, including branching, merging, rebasing, and pull request reviews.

Build and maintain reliable CI/CD pipelines.

Use AI-assisted engineering tools such as GitHub Copilot, Claude Code, or Cursor to support development, code reviews, and troubleshooting.

Collaborate with QA, Product, and Design to deliver features end to end.

Troubleshoot production issues with the DevOps team.

Mentor junior engineers and contribute to engineering quality and review practices.

Required qualifications

6–10 years of experience in full-stack software development.

Strong experience with C# / .NET Core for scalable services and APIs.

Strong experience building modern, responsive user interfaces with React.

Experience with SQL Server schema design, queries, and performance fundamentals.

Experience designing and integrating REST APIs.

Proficiency with Git/Bitbucket, including branching strategies and pull request reviews.

Experience building and maintaining CI/CD pipelines.

Experience with Cypress for end-to-end test automation.

Comfort using AI coding assistants in day-to-day software development. This may be evaluated during the interview process at the interviewer’s discretion.

Nice-to-have skills

Redis caching

AWS or CloudFront

ExtJS

Vitest

Docker

AI/LLM integrations using Azure OpenAI, Semantic Kernel, or similar frameworks

AI-powered code quality tools such as GitHub Copilot Autofix or SonarQube