Senior Member of Technical Staff

Senior Member of Technical Staff at DeepRec.ai Senior Member of Technical Staff at DeepRec.ai in STANFORD, California Posted in 7 days ago.

Type:

full-time

Job Description:

???? Senior Platform Engineer (Backend) | Palo Alto (Hybrid) Generative AI | Healthcare Build technology that truly matters. We're working with a high-growth, venture-backed company operating at the intersection of Generative AI and healthcare. They're developing advanced infrastructure that enables organisations to safely deploy and manage AI systems in complex, real-world environments. With a team of 130+ and growing quickly, the business is entering a key phase of scale-offering the opportunity to make a meaningful impact while still operating with the pace and ownership of an early-stage team. ???? The Role As a Senior Platform Engineer, you'll help design and build the core systems that underpin a modern AI platform. This is a hands-on role focused on scalable backend services, infrastructure, and reliability, working closely with a strong engineering team on technically challenging problems. ?? What You'll Be Doing Design, build, and scale backend services within a distributed architecture Write clean, efficient, and production-ready code Contribute to system design, architecture, and technical decision-making Improve platform reliability, observability, and performance Collaborate across engineering to deliver features end-to-end Participate in code reviews and support live systems when needed ? What We're Looking For 6+ years of backend or platform engineering experience Proven experience building and scaling generative AI applications in production Strong proficiency in Python (plus TypeScript or Java) Experience with a compiled language such as Go or Rust Solid understanding of microservices and API-driven architectures Experience with AWS, GCP, or Azure, plus infrastructure as code (Terraform) Familiarity with CI/CD, DevOps practices, and monitoring tools Experience with Docker and Kubernetes Strong communication and problem-solving skills Bachelor's degree required (Master's preferred) Able to work hybrid (3 days/week in Palo Alto) ? Nice to Have Experience with AI/ML frameworks (e.g. PyTorch, TensorFlow) Strong exposure to GCP Familiarity with frontend technologies Experience in regulated or complex domains (e.g. healthcare, fintech) ???? Why This Role Work on cutting-edge AI systems with real-world impact Join a company that's already 130+ people and scaling rapidly Backed by leading investors with strong momentum Competitive salary + meaningful equity Comprehensive benefits (medical, dental, vision) Flexible hybrid working model High-performing, collaborative team environment