Senior Backend Software Engineer

Claryo•San Francisco, CA

20d•Hybrid

About The Position

We are seeking a talented Backend Software Engineer to join our core engineering team. The ideal candidate is a product-minded builder who can own features end-to-end — from scalable backend APIs to beautiful, high-performance interfaces — contribute to architecture and design decisions, and mentor other engineers as we scale a deeply technical product at the intersection of AI and logistics. We’ve found a ton of value and upside in spending time together, so our team works from our SF and NYC offices three days a week.

Requirements

Proven backend experience with Python and Go or Rust in production systems.
5+ years of professional experience building scalable, user-facing applications.
Strong understanding of API design, state management, and asynchronous data flows.
Proficiency with web frameworks like FastAPI or Flask.
Experience with relational databases like PostgreSQL (bonus for time-series extensions such as TimescaleDB).
Experience with developing and deploying in containers (e.g. Docker)
Familiarity with cloud infrastructure, especially GCP or platform / infrastructure (e.g. k8s, terraform)
Experience with large-scale video data processing or streaming media services
Comfortable navigating ambiguous problems and driving projects from 0 → 1.
Excellent collaboration and communication skills in cross-functional environments.

Nice To Haves

Experience with real-time data visualizations or interfaces tied to robotics, ML, or logistics systems (WMS, TMS, ERP).
Familiarity with frontend performance tuning, component architecture, and modern styling systems (e.g., Tailwind).
Experience working in early-stage startups or small teams.
Exposure to observability stacks (e.g., Grafana, Prometheus, OpenTelemetry).
Strong design sensibility and product thinking.

Responsibilities

Design and build end-to-end features across the stack, integrating backend services and frontend interfaces.
Develop robust APIs using Python (FastAPI), Go/Rust, integrating with time series data (TimescaleDB), multimodal streaming data (video) and databases (Postgres).
Collaborate with product, design, and domain experts to prototype, validate, and ship new features rapidly.
Optimize application performance and observability across backend.
Contribute to our component libraries, design system, and development best practices.
Participate in architectural decisions and code reviews to support engineering excellence.