Senior Product Engineer

Big Health

. Lead design and implementation of complex product features across React, React Native, Next.js, Python, Django, and GraphQL, from technical design through production deployment .

Posted 11/11/2026full-timeRemote • United StatesSenior💰 $140,000 - $185,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading the design and implementation of complex software features using React, Python, and Django, while ensuring system reliability and accessibility. Proficient in mentoring engineers and collaborating with cross-functional teams to translate clinical requirements into effective engineering solutions.

Highest-signal resume keywords

React Application DevelopmentPython ProgrammingDjango FrameworkGraphQL API DesignSystem Reliability Monitoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TypeScript ProgrammingPostgreSQL Database ModelingREST API DesignDistributed Systems FundamentalsAI-Augmented Development Workflows

Soft Skills

Strong Written CommunicationVerbal Communication SkillsMentoring Junior EngineersCritical Evaluation of AI Output

Tools & Technologies

DatadogSentryPostHogAWSSupabaseVercel

Certifications & Qualifications

Practitioner-Level CertificationsAdvanced Certification in Frontend TrackAdvanced Certification in Backend Track

Industry Keywords

Patient EngagementClinical Data SystemsFDA-Regulated EnvironmentsHIPAA ComplianceFHIRHL7

Tech Stack

Tools & technologies

AWSDjangoGraphQLJavaScriptNext.jsPostgresPythonReactReact NativeTypeScript

About the role

Key responsibilities & impact

Lead design and implementation of complex product features across React, React Native, Next.js, Python, Django, and GraphQL, from technical design through production deployment
Own end-to-end delivery across frontend, backend, and data layers
Make trade-offs between speed, quality, and maintainability
Architect and improve therapeutic delivery, patient engagement, outcome measurement, and clinical data pipeline systems
Design systems for reliability, accessibility, and scale
Mentor IC1 and IC2 engineers through code reviews, pairing sessions, and technical guidance
Contribute to architectural decisions and technical planning
Author design documents and participate in the RFC process
Collaborate with Product and Clinical teams to translate patient needs, clinical requirements, and outcome metrics into engineering solutions
Monitor and improve system reliability using Datadog, Sentry, and PostHog
Lead incident response when production issues affect patient access
Use AI-augmented development workflows, including Claude Code and Copilot, for code generation, testing, and code review
Help establish team practices for effective AI tool use
Achieve Practitioner-level certifications across core competency domains and Advanced certification in the primary frontend or backend track

Requirements

What you’ll need

3–6 years of professional software engineering experience
Ability to lead feature delivery across frontend and backend systems
Strong proficiency in Python and TypeScript
Hands-on experience building production applications using React and Django or equivalent frameworks
Understanding of REST and GraphQL API design
Understanding of relational database modeling with PostgreSQL
Understanding of distributed system fundamentals
Ability to manage multiple concurrent workstreams and deliver against project timelines
Experience designing systems balancing performance, accessibility, and maintainability
Comfort working independently in AI-augmented workflows
Ability to critically evaluate AI output for correctness, security, and maintainability
Strong written and verbal communication skills
Ability to explain technical trade-offs to non-technical stakeholders
Practitioner-level certifications across core competency domains and Advanced certification in the primary frontend or backend track
Preferred: experience building patient-facing health applications or software in FDA- or HIPAA-regulated environments
Preferred: familiarity with React Native, Expo, or cross-platform mobile development
Preferred: exposure to FHIR, HL7, or clinical data systems
Preferred: experience with AWS, Supabase, Vercel, and infrastructure-as-code practices
Preferred: track record of mentoring junior engineers and improving team engineering practices
Preferred: experience establishing patterns for AI-assisted development

Benefits

Comp & perks

Equal opportunity employment
Consideration of qualified applicants with criminal histories consistent with the San Francisco Fair Chance Ordinance
E-Verify participation for new hires in the United States