$250,000 - $300,000
Full-time / Onsite (5 days/week)
About The Role
As a Senior Backend Engineer at Mochi Health, you’ll be responsible for the core systems and data channels that facilitate a world-class experience for our customers, pharmacy technicians and many more team members who interface with our proprietary platform each and every day. You will work with talented engineers, building out cutting-edge systems from Machine Learning path finding algorithms to hand-crafted video encoding protocols, all in service of providing deeper capabilities and insights to the customer experience. Take advantage of developments in artificial intelligence to bring innovative and exciting new features to our customers. These are just a few of the intriguing challenges you might be faced with at Mochi Health.
What You’ll Do
- Lead the development, optimization and expansion of our core backend services. (Node/Express)
- Drive best practices in performance, security, and scalability as we scale rapidly over the next 6/12 months.
- Collaborate closely with Product, Design and Frontend teams to deliver seamless, intuitive user experiences.
- Own key architectural decisions, mentoring engineers, and elevating back-end excellence across the company.
- Build out data-driven services and systems to bolster the customer experience.
- Influence engineering culture, fostering innovation and technical ownership within the team.
Who You Are
- 7+ years of back-end development experience, with deep expertise with Javascript/Typescript, as well as some exposure to Kotlin/Swift.
- Experience leading technical initiatives and shipping scalable, high-performance systems to support web and mobile applications.
- Strong knowledge of modern back-end tooling. (TypeScript, ESLint, CI/CD pipelines)
- A passion for creating fast, optimized and elegant solutions to difficult problems.
- Familiarity with machine learning algorithms, and general low level development.
- Startup mindset: you thrive in fast-moving environments, take ownership, and love solving problems at scale.
- Bonus: Experience with WebSockets, real-time data, compiled code languages, or healthcare-related applications.
Our Core Technologies Include: Typescript, Javascript, Node.js, Next.js, React, React Native, SQL, Redis, Redux, New Relic, Kubernetes, CSS, AWS, Cypress, Docker, Express
Life at Mochi 💫
At Mochi, we believe your best work happens when you feel your best—so we’ve designed an environment that fuels your creativity, supports your growth, and makes every day exciting.
🥗 ALL MEALS CATERED – five days a week, breakfast lunch and dinner professionally catered. On-site Barista for unlimited espresso/matcha bar.
💰 Transport’s on us – Transportation benefits to make commuting painless
💣 Profitable & Explosive Growth – Our growth is like trying to drink from a firehose while riding a rocket, as we commit to decisions that ensure long-term success, stability, and the well-being of our team and customers—all without the constraints of VC funding.
🚀 High-Impact Work – Be part of shaping the future of digital healthcare during an exciting period of growth and innovation.
👩💻 World-Class Team – Join a team of ex-Tesla, Citadel, SpaceX, Harvard, Princeton, Yale, Dartmouth, IIT across engineering, product, clinical, operations, and beyond—each bringing excellence and empathy to the table.
✨ All the standard bits –401(k) match, unlimited PTO, fully covered life insurance, super primo medical dental and vision for our injury prone team.
💸 Competitive Compensation – We offer a top-of-market salary and a generous equity package—because you deserve to share in the upside you help create.
📍 Prime Location – Our vibrant downtown San Francisco Q is just steps from public transit, great coffee shops, and everything the city has to offer.
The base salary for this full-time position ranges from $250,000 to $300,000, in addition to equity and benefits. The salary range listed in each job posting represents the minimum and maximum targets for new hire salaries across all locations. Actual compensation within this range is determined by various factors, such as job-related skills, experience, relevant education or training, and location.
