Senior Backend Engineer
- Hiring from
- India
- Work type
- Remote
- Posted
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HLTH is one of the fastest growing brands of 2026, reaching the top 0.1% in hyper-growth of all stores in the Shopify ecosystem and we're just getting started (literally). At HLTH we believe understanding your health should be effortless. Our products turn health monitoring into clear insights anyone can act on.
We are looking for our first Senior Backend Engineer to join our small but mighty team. This role will design and own HLTH's backend architecture end to end: the APIs, database, and cloud services that take data from our wearables after it syncs over Bluetooth to our Flutter app and turn it into the insights our members see. You will build on Supabase and Cloudflare R2 and launch our AI coach alongside our new app. You will work hands-on with the founders, our mobile/BLE engineer, and our algorithms team, owning your work from design through production.
- Design, develop, and maintain scalable backend services and APIs, owning our backend architecture end to end, from design and development to deployment and production support.
- Build and maintain the pipelines that handle wearable data after it syncs to the phone, built on Supabase, Cloudflare R2, or similar.
- Design and maintain database schemas and data models, including query optimization, indexing, and performance tuning on Postgres.
- Build and run cloud services for select health features and alerts, working with our algorithms team to take them from prototype to production.
- With support from the founders and our algorithms team, build and launch a privacy-preserving AI coach backend, live with our app launch, that keeps every member's health data protected.
- Build and maintain an MCP server so paid members can connect their own AI tools and pull their own data.
- Build reliable sync and background processing jobs with retries, timeouts, and safe recovery, so no member data is lost or duplicated.
- Own authentication, access control, and data security across the backend, protecting the health data of members worldwide.
- Set up monitoring, alerting, backups, and recovery so the backend stays fast and available as we scale.
- Monitor application performance, resolve performance, scalability, and production issues, and fix the root causes of incidents.
- Write clean, maintainable, well-tested code, and set the code review and engineering standards for the backend.
- Work closely with our mobile/BLE engineer and founders to deliver new capabilities, and communicate technical ideas clearly to technical and non-technical partners.
- 5+ years of backend development, including a consumer app backend you shipped and maintained in production.
- Strong proficiency in Node.js, Python, or a similar backend language (Python a plus).
- Experience building REST APIs, with a strong understanding of database design, security, and performance optimization.
- Strong hands-on experience with system design, including data flow, caching, queueing, failure modes, and scale.
- Proven ability to own a backend architecture on your own, take and give guidance, and drive technical problems to resolution.
- You take pride in supporting your code in production, with Git, CI/CD, and modern software engineering practices.
- Experience securing APIs and cloud access for sensitive personal data.
- Shipped an LLM or AI feature in production, including prompt engineering, model integration, retrieval (RAG), and evaluating AI output quality.
- Experience with self-hosted models, guardrails, and responsible handling of personal data in AI features.
- Experience with wearables, connected devices, or time-series device data.
- Experience with serverless and event-driven architectures, object storage, and Postgres-based platforms.
- You use AI coding tools to accelerate your workflow and are eager to explore new technologies to solve complex problems.
- Competitive regional salaries
- Fully remote, flexible hours
- Access to custom AI tooling and workflows
- Flat team, direct access to founders
- Unlimited PTO (with a required recharge time)
