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Software Engineer at CourseStorm. At CourseStorm, we’re hiring an Engineer, not a coder.. Writing code is no longer the hard part. AI can code faster than any human ever will, and pretending otherwise is a waste of your precious time. Coding is not a scarce skill. Good judgment is. Clear thinking is. Knowing what not to build is. And at CourseStorm we lean into that hard. Your job here is not to prove you can grind out implementations — it’s to design and review architecture, make tradeoffs, and use AI to turn those decisions into reliable, delightful software.. What you’ll actually do. On this Engineering team of 5, everyone works across the entire stack, because a small team with real ownership requires it:. Design backend logic and APIs. Configure and maintain servers, background jobs, and databases. Build and refine front-end experiences that real people love to use daily. Deploy, monitor, debug, and clean up. Use AI constantly — to generate code, explore approaches, refactor aggressively, and delete more than you add. There are no lanes to stay in and no handoffs to hide behind. If something feels confusing to a customer, that’s an engineering problem. If a system is brittle or overbuilt, that’s an engineering problem. If AI-generated code is messy, that’s also an engineering problem—and fixing it usually means stepping back and simplifying the design, not adding more.. Our engineering principles. Start with an oversimplification and work your way toward complexity based only on hard evidence. Default to precedent, lean on the built-in learning and consistency that provides. Collaborate early and often when designing new solutions when you recognize that precedent has fallen short. Limit your technological footprint and invest deeply in the areas where we provide unique value. Iterate your way there and develop an allergy to "projects with a capital P". Be explicit vs. implicit and your future self will thank you. There are no silver bullets, only lots and lots of lead bullets. The only silver bullet is iteration.. We care far more about your ability to reason clearly, ask good questions, work as a team, and improve systems over time than about your familiarity with a specific framework or tool.. Who tends to thrive here. Engineers who like working collaboratively within a small, tight-knit team. People who enjoy working across infrastructure, backend, and UI. Folks who are comfortable saying “this is too complicated” and working with others to fix it. Engineers who are excited to build leverage through AI instead of fearing it. People who want to continually learn and grow. Those who are responsive and invested in teammates' successes. Who probably won’t. Specialists. People who equate craftsmanship with writing lots of bespoke code. Anyone uncomfortable with responsibility or ambiguity. Folks who need lots of planning to feel safe. Engineers who prefer to work alone. We’re looking for an Engineer with several years of professional experience, but who isn’t tied down to a “certain way of doing things”. In this age of AI, the profession is changing rapidly and we’re all adapting to it.. You should have:. Deep experience working across the stack (backend, frontend, databases, automated testing, and some infrastructure). Several years of professional software engineering experience. An incredibly strong Engineering mindset. Adaptability and flexibility. Demonstrated clear thinking and communication. A passion for eliminating manual work. An open mind to explore new tools and processes combined with an allergy to incessant pivoting. Nice to have (not required):. Experience with small teams or startups where responsibility is shared and ambiguity is normal. Familiarity with web applications that handle payments, user data, or operational workflows. Experience refactoring or modernizing an existing codebase without breaking the customer experience. Company Location: United States.