Job description

Cambio is a software platform for real estate decarbonization. We help commercial real estate owners bring their portfolios to net-zero with an AI-driven sustainability, asset, and investment management platform. We're backed by Y Combinator, Google, and Stanford — and we're the fastest-growing startup in our category. THE ROLE We're looking for a Backend Engineer to build, help teammates do their best work, and have fun doing it. WHAT YOU'LL BE DOING - Launch customer-facing features by building Django backend services - Improve the customer experience through performance optimizations - Improve the eng team's quality of life by committing to tech debt reduction - Support and collaborate with your teammates WHO YOU ARE - An A-player: low ego, curious, and serious about your craft - You are outcome driven - Work isn't in opposition to life for you - it's part of your life because you genuinely enjoy it - You ship through obstacles — roadblocks are part of the problem to solve - You move with urgency and close the week with visible impact - You're relentlessly curious and treat truth-seeking as a discipline - You believe iteration speed is quality - the way to build great things is to build fast and learn faster - You show up for your teammates, in person. You unblock before being asked and never let someone stay stuck - You own your work end-to-end - proactive about visibility, proud of your progress, and you over-communicate until everyone is fully aligned WHAT YOU BRING - Independent problem simplification skills - Experienced in Python web development (Django & Ninja is a bonus) - Solid grasp of computer science and algorithm fundamentals - Exceptional research & debugging skills - Understanding of technical trade-offs and the YAGNI principle OUR TECH STACK - Infra: AWS, Kubernetes, Redis, PostgreSQL, SQS, CDK, GitHub, Retool - Backend: Django REST/Ninja, Celery - Frontend: TypeScript, React, Next.js, Tailwind CSS - LLM: AWS Bedrock, OpenAI, Claude LOGISTICS - Work authorization: authorized to work in the US or Canada, and able to travel to both - This is an in-person role based in Kitchener-Waterloo, New York, or San Francisco WHAT WE OFFER - Competitive compensation and startup equity - Flexible time off - $1,200 annual learning budget - Catered lunch - Best workstation in a beautiful office in Uptown Waterloo - Office gym

Requirements

Must-haves

We're looking for a Backend Engineer to build, help teammates do their best work, and have fun doing it.
Launch customer-facing features by building Django backend services
Improve the customer experience through performance optimizations
Improve the eng team's quality of life by committing to tech debt reduction
Support and collaborate with your teammates
An A-player: low ego, curious, and serious about your craft
You are outcome driven
Work isn't in opposition to life for you - it's part of your life because you genuinely enjoy it
You ship through obstacles — roadblocks are part of the problem to solve
You move with urgency and close the week with visible impact
You're relentlessly curious and treat truth-seeking as a discipline
You believe iteration speed is quality - the way to build great things is to build fast and learn faster
You show up for your teammates, in person. You unblock before being asked and never let someone stay stuck
You own your work end-to-end - proactive about visibility, proud of your progress, and you over-communicate until everyone is fully aligned
Independent problem simplification skills
Solid grasp of computer science and algorithm fundamentals
Exceptional research & debugging skills
Understanding of technical trade-offs and the YAGNI principle
Infra: AWS, Kubernetes, Redis, PostgreSQL, SQS, CDK, GitHub, Retool
Backend: Django REST/Ninja, Celery
Frontend: TypeScript, React, Next.js, Tailwind CSS
LLM: AWS Bedrock, OpenAI, Claude
Work authorization: authorized to work in the US or Canada, and able to travel to both

Nice-to-haves

Experienced in Python web development (Django & Ninja is a bonus)

Application prep

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Keywords to mirror

aipythonawskubernetesresttypescriptreactnext.jsllm

Platform: ashby
Effort: quick

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Learning Budget