Software Back End Engineer

About the Role 

We build and operate the services that process high-volume application data at scale. The work is consequential: the validation, calculation, and data-handling logic our team owns directly affects the people who depend on getting the right outcome. Accuracy, correctness, and maintainability are not nice-to-haves… they're the job. 

As a mid-level Backend Engineer you'll own features end to end: from clarifying requirements, through design and implementation, to testing, deployment, and production support. We're language-agnostic.  Solid experience in any major language (or across a spectrum of them) matters far more than a specific one. You'll be trusted to make sound engineering decisions and explain the reasoning behind them. 

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What You'll Do 

• Design, build, and maintain backend services and APIs that process and validate application data. 

• Implement business rules ("edits") and calculations correctly, with meaningful test coverage, where our standard is 90%+ line and branch coverage. 

• Write clean, readable, maintainable code that the next engineer can extend without fear. 

• Collaborate with product, QA, and other engineers to turn ambiguous requirements into well-scoped, shippable work. 

• Participate in code reviews – giving and receiving thoughtful, specific feedback. 

• Contribute to operational health: logging, metrics, configuration management, and diagnosing production issues. 

• Make and document design trade-offs (rule representation, error handling, extensibility, performance) and defend them in review. 

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What We're Looking For 

Required 

• 3–7 years of professional backend software engineering experience. 

• Solid experience in any major programming language – Java, JavaScript/TypeScript, Python, Go, C#, or similar – or across a spectrum of them. We care about breadth of exposure and depth of understanding, not a specific language on your résumé. 

• Ability to read and review logic critically. AI is a leveler on syntax and boilerplate; what sets engineers apart now is judgment – spotting flawed logic, reasoning about correctness, and reviewing code (yours and others') with a critical eye. 

• Solid grasp of designing and consuming HTTP/REST APIs. 

• Demonstrated commitment to testing – you write tests as part of building, not after. Familiarity with TDD is a plus. 

• Comfort with relational databases and data modeling. 

• Experience with version control (Git) and collaborative workflows (branching, PRs/MRs, code review). 

• Ability to make pragmatic design decisions and clearly explain the why. 

• Clear written and verbal communication. 

Nice to Have 

• Experience in regulated, high-accuracy, or high-volume data domains (financial, government, healthcare). 

• Familiarity with rules engines, validation frameworks, or configuration-driven business logic. 

• Exposure to distributed systems concepts (async processing, throughput/latency trade-offs, CAP). 

• CI/CD, containerization, and cloud deployment experience. 

• Comfort using modern AI development tools (Claude, Copilot, ChatGPT) as part of a professional workflow. 

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How We Work 

• We encourage AI tooling. Modern engineers use it; we care about your engineering judgment and your ability to explain and extend what you ship – not whether a tool helped you write it. 

• Testing is a first-class deliverable, not an afterthought. 

• Decisions are documented. We value engineers who can justify trade-offs, not just produce code. 

• Code review is a conversation, aimed at quality and shared understanding. 

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What Success Looks Like (First 6 Months) 

• Independently delivering well-tested features with minimal rework. 

• Making sound design decisions and clearly documenting the trade-offs. 

• Extending existing services cleanly and confidently. 

• Contributing constructively in code review. 

• Diagnosing and resolving production issues with growing autonomy. 

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Interview Process 

Our hiring process is designed to respect your time while giving us a clear, fair read on your engineering ability. It includes a prescreen, a behavioral interview, a short (max 2-hour) take-home assignment, and a 90-minute technical interview where you'll walk us through your solution and extend it live.