SWTCH Energy Inc.
EV charging solutions
SoftwareEngineer(AI-First),FleetOperations
Neural analysis suggests this role is
optimal for Mid or Senior candidates.
“Software Engineer (AI-First), Fleet Operations at SWTCH Energy Inc.. Skills: Python, AI tools, End-to-end ownership. Design fleet operations product. Ship first version of product”
What You'll Achieve.
Customer outcomes; Code quality
Industry & Context.
Debugging; Architecture exploration
On-call rotation
What They're Looking For.
Must Have
Shipped backend services in production, Worked with a modern JS/TS framework, Picked up something unfamiliar and shipped real work, Use AI tools as part of how you actually work, Take the unglamorous stuff seriously, Owned something end-to-end before, Write clearly
Nice to Have
Python background, Next.js, React, Vue, Svelte experience, Specific AI workflow experience, Experience with logging, testing, docs, deployment hygiene, Experience owning something end-to-end
What You'll Do.
Design fleet operations product
Ship first version of product
Use AI tools as main way of working
Be open about what works
Focus on customer outcomes
How You'll Work.
Team & Collaboration
Work with dedicated PM; Collaborate with Director of Engineering; Share learnings with team
Communication Scope
Write clearly
Full Job Description
**Who We Are** SWTCH is pioneering EV charging solutions for multifamily and commercial properties across North America. Since 2016, our team of entrepreneurs, energy professionals, and technologists has been focused on unlocking the social, economic, and environmental benefits of widespread EV adoption. Today, our solutions are deployed in tens of thousands of locations —many of which are low-to-moderate income housing—helping to make clean mobility accessible for all. With an expanding footprint across Canada and the U.S., we’re scaling quickly and looking for mission-driven talent to help accelerate our growth. **The Role** We're building a new fleet management product, and we want to find out what an AI-first way of working actually looks like in practice. Not as a productivity boost layered on top of regular engineering. As the way the work gets done. You'd be the engineer on it, working with a dedicated PM. Our Director of Engineering will be close enough to help with bigger architecture and tradeoff calls without sitting in your day-to-day. This is a permanent role. We're running an experiment in how we build, not on whether to keep you. If we learn the approach has limits, that's still useful, and there's plenty of other engineering work to grow into. You'd own the work end-to-end. The stack is Python, FastAPI and Postgres on the backend, with Next.js on the front. That said, the stack isn't a test. We care more about how you learn than what you've already used. **What you'll be doing** * Designing and shipping the first version of our fleet operations product * Owning the work end-to-end: APIs, UI, deployment, monitoring, the on-call rotation * Actually using AI tools as your main way of working. Not just code completion. Architecture exploration, testing, debugging, writing docs, all of it * Being open about what works and what doesn't, so the rest of the team can learn from what you're finding * Working closely with your PM, with customer outcomes in fron
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