Описание
About CircleCI Engineering CI/CD has been solved. Now it's being reinvented. AI agents don't just run pipelines.
They write code, trigger builds, interpret failures, and propose fixes. The interfaces that developers use to understand and trust that work don't exist yet. We're building them.
At CircleCI, our guiding principles aren't posters on a wall. We learn fast: we run experiments, accept failure, and scale what works. We think like the customer: every decision connects back to the developer sitting in front of a failing build at 2 am.
We own the outcome: not just our slice of it, but the whole thing. If that's how you already work, you'll fit here. About the Query Team Every pipeline, job, and test that runs on CircleCI generates data, and that history is one of our biggest advantages in an agentic software delivery lifecycle.
Flaky test detection, test insights, pipeline search, and agents that reason about why a build failed all depend on fast, reliable access to it. The Query team owns the system that makes this possible. We pull product data out of the transactional services that create it and store it in datastores built for historical and analytical workloads.
We serve it through domain-level APIs to CircleCI's product teams and to customers through our public API. Our goal is to make storing data "fire and forget" for every other team, and querying it fast and dependable at a scale that keeps growing. What You'll Do Build AI-natively.
AI is how we work. It's not a
Полное описание, компания и ссылка на вакансию — после входа.
ВойтиКонтакты работодателя (email/phone/telegram) скрыты из публичного превью —
отправьте резюме, чтобы мы связали вас напрямую.