We’re on a mission to improve the reliability, transparency, and efficiency of our energy systems, fostering a future with sustainable and abundant energy. To accomplish our aims, we’re leveraging state of the art statistical learning and convex optimization methods (AI) to build the financial rails of our future energy systems that will accelerate the deployment of clean energy resources.
We envision energy systems that are efficient, autonomous, resilient, and powered by 100% renewable energy.
Our founders (ex-Apple, Bluevine; ex-Affirm, Square, Google) are Stanford alumni with experience in complex systems, machine learning and structured finance. Our world-class investors, Maverick Ventures and Caffeinated Capital, are aligned to our policy objectives and platform vision.
We're headquartered in New York City, with a flexible approach to remote work.
Comity is looking for a Platform Software Engineer to build out our research, market-making, and risk management platforms. You’ll be responsible for designing and scaling the core data infrastructure that powers all of these platforms, as well as integrating new data sources and market APIs as we expand our footprint. You’ll work closely with researchers and engineers working on our price forecasting and grid optimization technology, and directly with internal users on our Business Operations team. As an early hire in this role, you will have broad impact and ownership over our platform and framework design, technology choices, and team culture.
You have 2+ years of experience as a backend software engineer.
You have experience delivering complex engineering projects in collaboration with other engineers.
You are an excellent coder and adept at moving projects through all stages of the software development lifecycle: specification, prototyping, implementation, code review, testing, deployment, monitoring, and incident response.
You are experienced and comfortable building data pipelines and working with traditional relational databases as well as cloud-based data warehouses. Experience with Machine Learning concepts and technology is a plus.
You are a lifelong learner and empathetic teacher. We’re committed to the growth and development of our teammates. We work towards a shared understanding by listening with intent and holding open discussions because we know that's how we'll deliver quality results.
We believe strong foundations are more important than specific technical knowledge, but experience with any part of our stack (Python, PostgreSQL, Snowflake, AWS) is a plus.
We’re headquartered in New York City, with a flexible approach to remote work and work from home.
Yearly based
New York
