Close is the CRM with a built-in AI teammate that works with your team to call leads, qualify prospects, book meetings, and keep your CRM up to date automatically, so you can focus on selling. Backed by Y Combinator.
About the role
As an Engineer on our Backend Platforms team, you’re building for other engineers. When a product team adds a new API endpoint, most of what they write isn't their feature — it's wiring: authentication, permissions, rate limiting, the shape the endpoint has to take so it looks like every other endpoint when you squint.
What they're looking for
- A seasoned Python engineer. Python is our backbone and it matters in this role more than on other teams at Close. Architectural patterns don't port cleanly between languages, and you'll be setting the patterns. Go, Rust, or TypeScript alongside it is welcome
- Drawn to meta-problems. This team doesn't ship features to customers, it changes how features get built
- AI-native in production. You've shipped meaningful LLM-backed or agentic work to real users. For a team building AI tooling that other engineers depend on, this is foundational to the role
- Fluent in observability and production practice. Telemetry, metrics, tracing, alerting, Sentry ownership, what production-ready actually means. You've been the person who made a system legible when it broke
- Opinionated about API design. You've shipped internet-facing APIs and you think about who's on the other end — apps, agents, humans reading docs — and what each needs
- Battle-tested. You've debugged incidents where latency budgets didn't hold, owned a system everyone else relied on, or carried a pager for something with real customer impact
More about this role
Since 2013, we’ve been building a CRM that gets out of your way and helps your team sell more, faster. Now we’re building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale.
We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 120-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales.
Our backend tech stack consists primarily of Python Flask web apps with our TaskTiger scheduler handling many of the backend asynchronous task processing chores. Our data stores include MongoDB, PostgreSQL, Elasticsearch, and Redis. The underlying infrastructure runs on AWS using a combination of managed services like EKS, MSK, RDS and ElastiCache and non-managed services running on EC2 instances. We have CI/CD pipelines that build Docker images, run automated tests and deploy to Kubernetes clusters. We also use these images in our local development environment allowing coding locally against all of...
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