January
Lead Backend Platform Engineer
Menlo Park CA · Full-time
Sponsorship not specified$180k-$300kDetected 82 days ago
Distributed SystemsBackend DevelopmentPostgreSQLCloud PlatformsTerraformCI/CDPlatform EngineeringRESTMachine LearningIncident ResponseHL7/FHIREHR/EMRBioinformaticsResearchCommunication
About the role
- We are hiring a Lead Backend Platform Engineer to own and strengthen a broad backend surface area spanning app APIs, partner APIs, EHR integrations, AI services, cloud infrastructure, and observability.
Responsibilities
- Own backend services that power our app and partner-facing products
- Lead design, implementation, and maintenance of APIs, microservices, EHR integration layer and service-to-service workflows
- Drive architectural improvements that simplify service boundaries and reduce operational fragility
- Partner closely with product, frontend, and AI to deliver robust systems
- Help define and enforce strong engineering standards around service design, testing, deployment, monitoring, and operational ownership
- Step into ambiguous, cross-functional problems and drive them to resolution with minimal oversight
- Within 90 days, a new partner can integrate against our API in roughly a week with you as their primary technical contact.
- You'll own the systems that connect a person's clinical and lifestyle data to AI-generated insights - used by both our consumer app and the enterprise partners we serve.
- You'll work alongside Stanford-trained scientists, AI researchers, and operators who've shipped at scale, reporting to the CTO with the AI Lead as a close partner.
- Our team collaborates in real-time during standard working hours Pacific Time.
Requirements
- 7+ years of backend engineering experience in production environments
- Deep expertise in backend architecture, distributed systems, and microservices
- Strong ownership mentality and the ability to proactively identify and solve problems
- A track record of improving engineering quality, not just delivering features
- Strong backend development experience in languages relevant to our stack
- Experience designing and operating microservices, REST APIs, and event-driven systems.
- Experience with cloud infrastructure and infrastructure-as-code, especially Terraform
- Experience with CI/CD, deployment pipelines, and production operations
- Strong experience with monitoring, observability, tracing, logging, and alerting
- Experience handling incidents, production debugging, and postmortem-driven improvement
Nice to have
- Why Join January AI
- Research-credentialed product: Our clinical reasoning model has published benchmarks that hold up against the largest general-purpose LLMs.
- We treat scientific credibility as a product requirement, not marketing.
- Our HQ office is in sunny and beautiful downtown Menlo Park, CA, within walking distance to Caltrain and local cafes and restaurants.
- 401k with corporate matching
Compensation
- Benefits and Perks of working Full-time at January include: Competitive salary and equity packages; 401k with corporate matching; Health, dental, vision, life and AD&D insurance; Commuter benefits.
Benefits
- Perks of working Full-time at January include:
- Competitive salary and equity packages; 401k with corporate matching; Health, dental, vision, life and AD&D insurance; Commuter benefits.
- About January AI At January AI, we believe every day is January 1st - a fresh start for better health.
- Founded in 2017 and headquartered in Menlo Park, California, January AI is the first AI-powered precision health company focused on improving metabolic health and advancing personalized nutrition.
- Michael Snyder, we bring together machine learning, multi-omic science, and real-world health data to empower individuals to take control of their health.
- Manage the AI infrastructure that powers our health intelligence and evaluation harness
Company info
- solving hard systems problems, improving the technical foundation of the company, and helping shape how January builds production-grade AI products.
- Co-founded by tech executive Noosheen Hashemi and Stanford geneticist Dr.
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