Sourcegraph
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Job Summary
Sourcegraph is a company focused on leveraging AI to transform enterprise software development by automating repetitive tasks and enhancing developer productivity. The role centers on solving complex problems such as automated bug triage, vulnerability detection, and code reviews. The organization emphasizes innovation and impact in software engineering, working with top companies worldwide. Specific responsibilities and qualifications are not detailed in the provided description.
Required Skills
Job Description
Who we are
Our mission at Sourcegraph is to make it so that everyone can code, not just ~0.1% of the population.
Everything is changing in how software gets built, and Sourcegraph builds tools that make it easier at scale. Code Search helps devs explore and understand massive codebases. Amp, our agentic coding tool, dramatically accelerates the time it takes to write new code and tackle complex problems like migrating and transforming code.
We’re trusted by engineering teams at leading companies like Stripe, Uber, and Palo Alto Networks, and with $225M in funding from investors like a16z, Sequoia, and Redpoint, we are building the tools that will define the next era of enterprise software development. We’re a globally distributed team with a culture of high agency, direct communication, and deep love for developers.
If you want to work at the bleeding edge of software and do the most meaningful work of your career, join us.
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Learn more about us
You can learn more about what it is like to work at Sourcegraph by reading our handbook.
We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture, competitive compensation and benefits here.
Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds.
Sourcegraph participates in E-Verify for U.S. Employees.
Sourcegraph
Sourcegraph is accelerating how the most important companies in the world build software. Sourcegraph automates routine development tasks with AI agents and a contextual understanding of large codebases, freeing enterprise dev teams of soul-sucking work and improving their ability to innovate.
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