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Engineering Lead

Location: Singapore / India | Type: Full-time | Posted: 02 May 2026

About the Role

We're hiring a senior backend-focused Engineering Lead / Staff Engineer to help architect and scale Genie's core platform. This is a foundational role. You will design and build the systems that power health data aggregation, insights generation, and partner integrations — while shaping engineering standards, mentoring early hires, and working closely with founders.

Requirements

  • Strong backend engineering expertise (NestJS + TypeScript, Python)
  • Experience building and scaling consumer platforms, marketplaces, or multi-tenant B2B systems (org-scoped data, RBAC, data isolation)
  • Deep understanding of system design, APIs, and data architecture
  • Hands-on experience with cloud platforms (AWS and GCP — EKS, RDS Aurora, SQS, Secrets Manager, S3)
  • Familiarity with complex data systems and data sharing frameworks
  • Comfortable working with AI-assisted development tools (Cursor, Claude Code) — while maintaining strong independent thinking
  • Experience collaborating across distributed teams (2–3 locations)
  • Ability to operate independently in a startup environment and own large parts of the system
  • Experience leading small teams of engineers and driving shared outcomes
  • Solid understanding of relational databases and data modeling
  • Strong PostgreSQL — schema design, migrations, query optimization (Prisma ORM preferred)
  • Comfortable with Terraform and Helm for deployment (or willing to learn fast)
  • Experience with HIPAA/healthcare compliance — PHI handling, audit trails, encryption

Nice to Have

  • Experience with AI/ML systems or LLM integrations
  • Mobile experience (React Native or similar)
  • Exposure to healthtech or regulated environments (e.g. HIPAA)
  • Experience building systems involving sensitive data and privacy constraints

Responsibilities

  • Architect and build scalable backend systems powering Genie's core platform
  • Design APIs, data models, and services for multi-tenant B2B and consumer use cases
  • Build and manage secure data pipelines for health data ingestion, processing, and sharing
  • Work across cloud infrastructure (AWS / GCP) to deploy, scale, and maintain services
  • Integrate AI/LLM capabilities into production systems where relevant
  • Collaborate with Product, Design, and founders to translate complex requirements into robust systems
  • Contribute to mobile/backend integration (React Native exposure helpful)
  • Work across distributed teams and drive engineering alignment
  • Set engineering standards, review code, and mentor future team members
  • Lead and mentor engineers and guide AI agents

Apply Now

Email your resume and cover letter to careers@geniehealth.care