Technical Lead Platform Engineer

SyndesusPalo Alto, CA
11h$220,000 - $280,000Hybrid

About The Position

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: This role begins as a hands-on technical lead (IC + leadership) with clear growth toward broader technical ownership.

Requirements

  • 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

Nice To Haves

  • Significant GCP experience
  • Multi-cloud exposure
  • AI/ML frameworks (PyTorch, TensorFlow)
  • Healthcare experience
  • Familiarity with frontend frameworks
  • Top-tier academic background

Responsibilities

  • 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

Benefits

  • 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)
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service