Lead Full Stack Developer (Python & Angular)

Frontend/Full Stack Development

Angular (Version 17+, ideally 18 or 19) and Python. Clinical experience/background is a bonus

Deep Architectural & System Understanding

Expertise in performance optimization, hardware interactions with code, scalability, async communications, and complex business logic (beyond surface-level coding).

Plus / Nice to Have Skills

Domain Experience

Clinical domain / Clinical Management Systems background. Alternatively, experience in highly regulated spaces (e.g., FDA-regulated, BFSI regulatory controls like KYC).

AI Tooling

Ability to leverage AI cloud tools for accelerated development.

Candidate Search Summary

Seek senior Angular 17+ / Python full-stack developers who possess deep low-level technical knowledge (e.g., memory/CPU consumption, system performance under heavy load) and can thrive in a fast-paced transition environment; candidates in the US, Canada, or Mexico working PST hours with a background in clinical or heavily regulated environments are highly preferred.

Strong Full stack Developer to work a 3 year contract for an implementation. Ideally someone within the Clinical Domain that can work PST times.

Job Responsibilities

• Role: Full Stack Technical Lead (Angular & Python)
• Quantity: 3–4 people
• Experience: 7+ years in full-stack software/product engineering, including technical leadership
• Availability: Immediate joiners who are ready for customer interviews right away
• Locations: US, Mexico, or Canada (Must support PST / South San Francisco working hours)
• Core Technical Stack:
• Frontend: In-depth, hands-on expertise in Angular (Angular 17+ / 19.x), TypeScript, RxJS/signals, typed Reactive Forms, state management, and real-time/collaborative UI patterns (WebSockets, optimistic concurrency).
• Backend: Strong production experience in Python with FastAPI (or comparable), Pydantic contracts, SQLAlchemy/ORM, and async job handling.
• Cloud & Data: PostgreSQL/SQL, AWS, Kubernetes/EKS, CI/CD, and full-stack troubleshooting.
• Domain Experience (Good to have): Prior background in Life Sciences, clinical trials, or GxP/regulated environments.