Job Opportunities API

ABOUT US Mira Mace pairs Medicare beneficiaries with a dedicated healthcare advocate who navigates appointments, insurance, and care coordination on their behalf. Our customers get the support of caring nurses while AI agents handle the tedious backend work — all covered by Medicare. We've felt the pain ourselves — the endless back-and-forth with insurance, surprise bills, and the lack of clarity when you just need answers. Too many people fall through the cracks, and we're determined to change that. Today, 24/7 personalized health assistance is only available to the rich or extremely sick. Our vision is for everyone to be able to afford a health assistant who knows your health history deeply, navigates the healthcare system on your behalf, and propels you to become the healthiest version of yourself. Our founding team brings a mix of strong technical experience from companies like Google, Meta, Dropbox, and Amazon, along with serial startup experience ranging from early bootstrapped ventures to Series D scale-ups. We are backed by Foundation Capital, DefineVC and top Silicon Valley angel investors.   WHAT WE'RE LOOKING FOR We're looking for a Staff Engineer to own the technical quality bar for the team. We're at the point where the decisions we make now determine what the next three years cost us: our platform spans real-time voice AI, agentic systems, a web application our team lives in all day, and integrations that carry both patient care and revenue — all moving fast, all built by a small team. You'd own the view across all of it. That means the architecture and the build-versus-buy calls, where we invest in reliability and where we take on debt deliberately. It also means the engineering harness — the tooling, guardrails, and automation that let people ship in parallel without breaking each other's work, and that let non-engineers ship safely too, with AI doing the work and the system catching the mistakes. And it means being the bar raiser: the engineer whose review makes the work better and whose standards the team adopts and keeps. This is a hands-on role. You'll write code and review a lot of it, set the standards for testing, observability, security, and deploys, and then be the one who holds the line on them. You'll work with the founders on the technical roadmap. The archetype we have in mind: a deep backend or full-stack engineer who has built systems that held up under real load and real consequences, and who is now genuinely comfortable with AI/ML engineering. The mirror image works just as well — a strong ML engineer whose software engineering depth is equally real. Either way, you've led teams before and raised the bar on them.   RESPONSIBILITIES - Own the technical quality bar. Define what good looks like across the codebase — architecture, testing, observability, security, performance — and make it stick through design review, code review, and your own work. - Make the architectural calls. Own the decisions that are expensive to reverse: service boundaries, data models, the shape of our AI infrastructure, how systems fail and recover. Write them down so the team knows why. - Own build vs. buy. Decide what's core and what's a vendor. Evaluate honestly, commit clearly, and revisit when the facts change. - Build the engineering harness. Own the tooling and automation that let people ship in parallel and reliably — CI, test infrastructure, environments, safe deploys, and AI-assisted development workflows. Push that leverage beyond the engineering team, so non-engineers can ship real changes with the system catching the mistakes. - Lay the foundation for mission-critical systems. Our platform can't be down or quietly wrong. Build the reliability, monitoring, and safety properties that let us grow by orders of magnitude. - Go deep where it's hardest. Take on the problems no one else can — the gnarly production incident, the system that has to be redesigned while it's