Prime Health Technologies · 2 days ago
Principal Backend Engineer, Health Intelligence Platform
United States
Full-time
Remote
Lead/Staff
8+ years expPrime Health Technologies is redefining healthcare from reactive to proactive by building the world’s first AI-driven Precision Health Operating System for governments and insurers. The Principal Backend Engineer will architect, build, and own the backend systems powering the Prime Health platform and ELIA, ensuring the integrity, scalability, and trustworthiness of the data layer that supports personalized health companion services.
Government Administration
Responsibilities
You will design and build core backend services using Kubernetes, Python and FastAPI to support:
Health data ingestion pipelines including Apple HealthKit, Google Health Connect, wearables, and digital diagnostics
Secure authentication and authorization using Auth0 or Supabase
APIs supporting mobile applications and AI-driven personalization
Secure REST and GraphQL endpoints for React-based administrative and government dashboards
You will design modular, extensible data schemas to support:
Behavioral and biometric signal processing
Longitudinal health tracking and scoring systems
Goal tracking, adaptive recommendations, and closed-loop feedback
Temporal reasoning across daily, weekly, and long-term health data
You will make architectural tradeoffs between speed, cost, latency, regulatory constraints, and long-term maintainability in production systems
You will architect a secure, scalable, and multi-cloud-ready backend capable of regional and sovereign deployments
Responsibilities include:
Kubernetes deployment on multiple cloud infrastructure experience is required (AWS, Azure), with Oracle Cloud as a nice-to-have
Designing systems that function in constrained or sovereign cloud environments common in public sector deployments
Defining Infrastructure-as-Code using Terraform and Helm
Implementing baseline observability and instrumentation using tools such as Open Telemetry, end to end observability, and App analytics
Ensuring compliance with HIPAA, GDPR, ISO 27001, ISO 47001 and regional data residency and privacy regulations
Working closely with the AI team to ensure a tight fit with backend services
You will be accountable for production reliability, fault tolerance, and operational clarity
You will serve as a senior technical leader, team leader and backend owner for the platform
This includes:
Translating system architecture and product specifications into executable milestones and deliverables
Establishing backend coding standards, API conventions, documentation practices, and CI/CD pipelines
Acting as a final technical decision-maker on backend architecture and data system design
Hiring, mentoring, and technically evaluating future backend and team engineers as the team scales
Participating in system design reviews to ensure forward compatibility, modular growth, and architectural discipline
You will design and operate hybrid data architectures that support both real-time personalization and population-level analytics
This includes:
PostgreSQL for relational data and system integrity
NoSQL databases such as MongoDB for flexible and evolving data models
Vector databases such as Milvus or Pinecone for semantic search and AI reasoning
Data ingestion and orchestration pipelines using tools such as Airbyte, Prefect, or Temporal
You will design data systems that explicitly support longitudinal analysis, temporal reasoning, feature generation, and adaptive feedback loops
You will implement granular data governance, consent-driven encryption, and role-based access controls aligned with privacy-by-design principles
Qualification
Required
8 or more years of backend or full-stack engineering experience
At least 4 years operating in a senior or technical & team leadership capacity
Actual design skills rather than a 'code it up and refactor it later' approach
Expert-level proficiency in Python with FastAPI or Flask
Strong experience designing asynchronous, API-driven systems
Hands-on experience with Kubernetes, AWS, Azure and/or other cloud services including Virtual Private Cloud, Storage, databases, security and managed Kubernetes services
Proven experience designing and scaling secure, high-compliance backend systems
Strong understanding of ETL pipelines, data orchestration, and microservice communication
Solid foundation in database design, data modeling, and schema evolution
Hands-on DevOps experience with CI/CD pipelines, Docker, Kubernetes, and monitoring systems
Experience operating, debugging, and improving production systems under real-world load or regulatory scrutiny
Familiarity with privacy-by-design principles and data protection frameworks
Preferred
Prior experience in healthtech, wearables, biometrics, or digital diagnostics
Experience working with longitudinal, time-series health, behavioral, or physiological data
Knowledge of healthcare data standards such as FHIR, HL7, SNOMED CT, and LOINC
Experience with LLM-based APIs, semantic search, or AI orchestration tools such as LangChain or LlamaIndex
Exposure to agentic AI systems, MCP concepts, or autonomous workflow design
Working knowledge of React-based web applications
Experience supporting multi-tenant, regionally isolated deployments with strong data sovereignty requirements
Familiarity with spec-driven development and strong documentation practices
Company
Prime Health Technologies
Prime Health Technologies partners with governments and insurers to transform population health through data, AI, and proactive care.
2-10 employees
H1B Sponsorship
Prime Health Technologies has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
Funding
Current Stage
Early StageCompany data provided by crunchbase