> Markdown version of [/jobs/ext/2073469-software-engineer](https://www.wearedevelopers.com/jobs/ext/2073469-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** PLANE INC. - **Location:** United States (Remote available) - **Experience:** Starter - **Salary:** $135,000.0 - $155,000.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Audit Trail, Big Data, Software as a Service, Software Debugging, Django Web Framework, Github, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft Office, Node.Js, Queueing Systems, RabbitMQ, Redis, Software Construction, SQL Databases, Datadog, Data Processing, Change Data Capture, Backend, Fastapi, Kubernetes, Information Technology, Rancher, Sentry, Apache Kafka, Figma, Front End Software Development, Golang - **Published:** August 15, 2026 - **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/software-engineer-backend-python/10685814 ## About the Role * 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. ## Description Remote Hiring Remotely in USA Mid level Remote Hiring Remotely in USA Mid level Build and own backend surfaces for Plane: APIs, data models, migrations, real-time sync (CDC/event streams), caching, and query performance. Instrument, monitor, and debug production incidents; collaborate with product and frontend teams across locations. The summary above was generated by AI About Plane, 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., * You have shipped Python to production. Point us to something you built, and tell us one decision in it you would make differently now., * 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 you ship this month will run inside a Fortune 500 company and a 50-person startup in the same week, and you will hear from both. The constraints make you better. Plane runs in our cloud, in customers' clouds, and on machines that will never touch the internet. Much of the work happens in the open, where the issues, the fixes, and the roadmap conversations are public. Building software that survives all of that is harder than building an ordinary SaaS product, and it is a better education than most companies can offer. The people-and-agents future is being built here, in production. We think humans and AI agents will share one system of action for work. We are building t Panchayat Bhavan oh my Godhat system now, for customers who already depend on it, and you will work on that problem directly whatever your role. Your name is on the work. The teams are deeply connected enough that credit and responsibility both find you fast. That is some pressure. Mostly it is the fun part., The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience., Extract, transform, validate, and load client PDFs and structured data into the MineralSoft platform using AI-driven extraction and ETL tools. Configure datasets, run queries and reports, troubleshoot integrations with EnergyLink, and ensure data quality and consistency while collaborating with cross-functional teams. Top Skills: Ai-Based Document Extraction ToolsAi-Enabled ToolsCsvEnergylinkETLExcelJSONMineralsoft What you need to know about the Colorado Tech Scene With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation. Key Facts About Colorado Tech * Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey) * Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3 * Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech * Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook) * Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures * Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute ## Related Videos - [Crew Management System for Airlines: Plan duties for pilots & flight attendants worldwide](https://www.wearedevelopers.com/videos/1444-crew-management-system-for-airlines-plan-duties-for-pilots-flight-attendants-worldwide) - [Boost Productivity with AI: Figma & Playwright MCP Workflows - Aris Markogiannakis](https://www.wearedevelopers.com/videos/1768-boost-productivity-with-ai-figma-playwright-mcp-workflows-aris-markogiannakis) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Designing the Future of Human<>Agent Collaboration](https://www.wearedevelopers.com/videos/1447-designing-the-future-of-human-agent-collaboration) ## Related Articles - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [The 7 Most Popular Backend Frameworks for Developers](https://www.wearedevelopers.com/magazine/403-the-7-most-popular-backend-frameworks-for-developers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Dev Digest 119 - ❤️ === ❤️](https://www.wearedevelopers.com/magazine/454-dev-digest-119)