Join a stealth-mode startup on a mission to redefine how people shop online. Our client is building a hyper-personalized, AI-powered shopping experience backed by some of the most successful names in tech. They're tackling challenges at the intersection of distributed systems, real-time data processing, and large-scale infrastructure, and they're seeking backend engineers who want to build from the ground up.
Term: Full Time
Location: Onsite in San Francisco, CA
The Role:
Architect and scale low-latency, high-throughput systems used by millions
Build APIs, core infrastructure, and backend services powering AI-driven personalization
Collaborate daily - this is a fully onsite role with a tight-knit, high-output team
Shape foundational systems, not just features - we’re early, flat, and execution-first
Tech Stack:
Languages: Go, Python, Rust, or similar
Cloud: AWS, GCP, or Azure (serverless, containerized workloads)
DevOps: Kubernetes, Terraform, CI/CD pipelines
Systems: Experience with distributed systems, real-time APIs, or high-availability infrastructure
Bonus: Experience scraping and normalizing large-scale data from diverse sources
Ideal Qualifications:
Backend engineer with 7+ years building reliable, scalable infrastructure
Thrive in ambiguity, move fast, and care deeply about clean architecture
Believe onsite collaboration builds better teams and better software
Low ego, strong communicator, and ready to own key systems in a product-led org