Description
Technical Lead Platform Engineer
Location: Palo Alto
Department: External Positions
Location Type: HYBRID
Employment Type: FULL_TIME
Transform Healthcare with Generative AI
Our client is building the safety-critical infrastructure powering Generative AI in healthcare.
They provide AI governance guardrails, healthcare-specific agent creation, and real-time algorithm monitoring that enables major health systems to deploy AI safely and at scale. Their platform is already live in production environments, driving measurable impact.
They are seeking a Technical Lead / Platform Engineer to help architect and scale their GenAI SaaS platform.
The Role
As a senior member of the engineering team, you will:
- Define and implement the architecture of the AI SaaS platform
- Lead development of core backend and platform services
- Drive distributed systems and scalability decisions
- Write clean, production-grade code
- Own infrastructure automation, monitoring, and reliability
- Mentor engineers and guide technical direction
- Balance speed with long-term system design in a fast-moving startup
This role begins as a hands-on technical lead (IC + leadership) with clear growth toward broader technical ownership.
Required Qualifications
- 8+ years of relevant industry experience
- Background at a top-tier technology organization (FAANG or similarly engineering-focused company)
- Experience leading engineers and owning technical direction
- Production experience deploying and scaling a generative AI application
- Expert proficiency in Python
- Strong TypeScript or Java
- Experience with Go, Rust, or another modern compiled language
- Deep distributed systems expertise
- Strong microservices and REST API design experience
- Cloud expertise (GCP preferred; AWS or Azure acceptable)
- Infrastructure as code (Terraform)
- CI/CD, DevOps best practices, monitoring & observability
- Docker and Kubernetes
- Strong coding ability (hands-on leadership required)
- Startup mindset: high ownership, low ego, collaborative
Preferred
- Significant GCP experience
- Multi-cloud exposure
- AI/ML frameworks (PyTorch, TensorFlow)
- Healthcare experience
- Familiarity with frontend frameworks
- Top-tier academic background
Culture & Environment
- Hybrid: 3 days per week in Palo Alto (Tues/Wed/Thurs)
- Flat, collaborative engineering culture
- High-growth, high-ownership environment
- Strong emphasis on both system design and hands-on coding
Compensation & Benefits
- Base salary: $220,000 – $280,000
- Equity package (details shared during process)
- Health insurance (~99% covered for employees, ~75% for dependents)
- Dental and vision insurance
- Developer-grade laptops and office equipment stipend
- Daily in-office meals (breakfast, lunch, dinner)
Compensation will vary based on experience and qualifications.
Visa
Our client can accommodate H-1B transfers only (I-140 approved or significant remaining term required).
If you are excited about building scalable AI systems that directly impact patient care, we would love to connect.
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