Senior Backend Engineer, Development Health

New

JobgetherDeveloper tooling

Based in IndiaFull-TimeSenior

Salary not disclosed

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Job Details

Have substantial professional experience as a Backend Engineer, Software Engineer, or Tooling Engineer, with a track record of owning and maintaining production systems throughout their lifecycle.
Be proficient in Ruby or able to become productive with the language quickly.
Have experience maintaining, troubleshooting, and safely modernizing established or legacy codebases.
Understand CI/CD systems, APIs, backend development, and large-scale automation.
Have experience designing and implementing automated unit and integration tests.
Be familiar with collaborative software development practices, including code reviews and technical design discussions.
Have practical experience using AI-powered coding assistants and critically assessing and validating generated code.
Be able to solve problems independently, communicate risks proactively, and drive projects to completion with minimal supervision.
Have excellent written communication skills for asynchronous and distributed working environments.
Be able to collaborate with engineers, technical leaders, and stakeholders across teams and locations.
Ruby on Rails experience is an advantage.
Experience in developer productivity, engineering analytics, internal developer tooling, GitLab or similar DevOps platforms, open-source contribution workflows, data pipelines, or AI agent-based workflows is an advantage.

Own the design, development, maintenance, and production operations of core Development Health systems.
Build and enhance backend services, automation tools, and internal platforms for engineering workflows and developer productivity.
Develop and maintain health monitoring, alerting, and remediation routing systems for critical CI/CD pipelines.
Improve automated detection of flaky tests, slow-running tests, and other engineering-efficiency issues.
Contribute to engineering analytics, reporting solutions, and data-driven performance tools.
Improve automation reliability, maintainability, and test coverage while modernizing legacy codebases and simplifying workflows.
Analyze engineering metrics and system performance data to evaluate changes and prioritize enhancements.
Mentor intermediate engineers through code reviews, technical design discussions, knowledge sharing, and collaborative development.
Monitor production health, investigate incidents, troubleshoot issues, and participate in root cause analysis.
Use AI agents and coding assistants to investigate issues, accelerate development, and contribute to product roadmap discussions.

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