Software Engineer, Backend (Python)

Engg; United States; Hybrid; USD 140,000 - 190,000; Full time

Job summary

Plane keeps live work state in sync across thousands of workspaces, including self-hosted clusters we will never see. You will work across the Django services behind projects, cycles, issues, and permissions, and the event streams and change data capture that push state out to every client.

You will start on scoped surfaces and expand to larger areas as you learn the system, designing for machines you cannot log into, and coordinating with product and frontend engineers in San Francisco and

Qualifications

• Shipped Python to production and can discuss a real decision.
• Experience with Django web framework.
• Strong SQL skills and understanding of indexes.
• Experience writing asynchronous Python (asyncio) in production.
• Able to debug production incidents and explain changes.
• Strong written communication for public issues.

Responsibilities

• Own backend surfaces end to end, from API contracts to rollout.
• Extend real-time sync via event streams and change data capture.
• Improve query performance as workspaces scale.
• Instrument deployments to surface degradation in dashboards.
• Collaborate daily with product and frontend engineers in SF and Hyderabad.
• Debug issues in production on hardware and networks we can't access.

Skills

Python

Django

SQL

Async Python

Production debugging

Clear writing

Tools

PostgreSQL

Redis

Kafka

RabbitMQ

GitHub

Datadog

Sentry

Job description

ABOUT PLANE

Plane's mission is to build the infrastructure the world's work runs on. Every organization runs on three things: the projects it's driving, the knowledge it keeps, and the requests it fields. Plane brings all three into one open, adaptable platform: simple enough for any team to adopt, dependable enough for organizations to build on. And we are building it for a future where humans and AI agents do that work together. Plane began in public on GitHub at the end of 2022. Since then it has grown into a work management platform used by teams around the world: 55,000+ stars, 5,000+ forks, and a contributor community that reads our code and files our issues. Organizations run Plane as a managed Cloud service, on their own infrastructure, or inside fully isolated environments. Building in the open keeps us close to users and raises the standard for everything we ship. Plane is the #1 work infrastructure in aerospace, defense, financial services, and other regulated industries: organizations whose requirements for control, auditability, and data residency rule most software out. When the strictest buyers pick a system of record, that choice means something. Adoption is growing fastest on Plane Cloud and in sovereign clouds, deployments that keep everything inside a country's own borders and rules. Plane is backed by top investors and built across San Francisco, London, and Hyderabad. We work in tightly knit teams, stay close to users, and care about the visible product as much as the unglamorous details that make software dependable. People own problems end to end, and we add process only when it helps the work.

HUMANS AND AGENTS

We believe the next decade of work will be done by humans and AI agents together. Not agents replacing people, and not a chat window bolted onto software built for humans clicking around, but both working in one system of action, where an agent's work is as visible and as accountable as a person's. Most software treats AI as a feature. We treat agents as a kind of worker, and that changes what the system underneath has to be. Agents are only as good as the context they can see and the state they are allowed to change, so shared context, explicit state, durable history, and accountable action are not items on our roadmap. They are the product. Plane is built so that when an agent acts, the humans responsible can see what happened, why, and on whose authority, and the record survives. This is what the infrastructure is for: making the future where humans and agents work together useful, legible, and fully within the organization's control. Every role at Plane is some part of building that.

ABOUT THE ROLE

Plane keeps live work state in sync across thousands of workspaces, including self-hosted clusters we will never see, and that machinery now has to carry agents that read and change state at machine speed. You will work across the Django services behind projects, cycles, issues, and permissions, the event streams and change data capture that push state out to every client, and the caching and query paths that keep a large workspace fast. You will start on scoped surfaces and take on larger ones as you learn the system. All of it ships to Cloud and self-hosted customers from one codebase, so you will design for machines you cannot log into, working alongside product and frontend engineers in San Francisco and Hyderabad.

WHAT YOU'LL DO

• Own backend surfaces end to end, from API contract and data model through migration and rollout, starting with scoped ones and taking on larger ones as you learn the system.
• Extend the real-time sync path alongside the engineers who designed it: event streams, change data capture, and the caching in front of them.
• Measure and improve query performance as workspaces grow. Query plans, indexes, and connection pooling are yours to read and fix.
• Instrument what you ship so that a degradation shows up in our dashboards before a customer reports it, and take your turn responding when it fires.
• Work daily with product and frontend engineers across San Francisco and Hyderabad, and with community members whose issue reports become your test cases.
• Debug what you cannot reproduce, on hardware and networks we will never have access to.

WHAT YOU'LL BRING

• You have shipped Python to production. Point us to something you built, and tell us one decision in it you would make differently now.
• You have worked in Django or a comparable framework. Models, migrations, and the request cycle are familiar rather than new.
• You are comfortable in SQL, not only the ORM. You can read a query, add an index, and say why it helped.
• You have written async Python. asyncio in something that carried real traffic, not only in a tutorial.
• You have debugged something in production. A real incident, and what you changed because of it.
• You write clearly. A public issue thread gets better when you show up in it.

NICE TO HAVES

• You have contributed to Plane, run it self-hosted, or maintained another open project people rely on.
• You have worked with event streams or message queues (Kafka, RabbitMQ, or similar).
• You understand deployment beyond a deploy button: containers, migrations across versions, and what changes when customers run your releases themselves.
• You have shipped software into regulated or isolated environments: banking, defense, healthcare, or air-gapped anything.
• You have built systems where AI agents act on real data, and you have opinions about state, permissions, and audit trails.

TECH

• Backend: Python, Django, FastAPI, Golang, Node.js, Postgres, Redis
• Messaging: RabbitMQ, Kafka
• Infrastructure: AWS, Kubernetes, Rancher
• Observability: Datadog, Sentry
• Everyday tools: GitHub, Plane (yes, we run on it), Figma, Slack

WHY PLANE?

Every company says it is different. We will try evidence instead. The scope is real. We are a passion team serving companies of every size, including some of the largest in the world. Something