Software Engineer - Backend (Product)
Ambient.ai5 months ago
Base Salary
$168k - $205k/yr
Responsibilities
- Design and ship backend APIs and services from 0-to-1 prototypes through enterprise rollout.
- Own a product area end to end, including data modeling, API design, performance, reliability, and operational health.
- Partner with product, design, and frontend engineers to turn ambiguous problems into technical plans.
- Tune performance and reliability under production load, including peaks from real-time alert pipelines.
- Build monitoring, logging, and alerting to identify issues before customers do.
- Contribute to architecture reviews, code reviews, and team standards.
Requirements
- 6+ years of backend engineering experience, including meaningful experience with user-facing web or mobile products.
- Strong Python skills and production experience with Flask, Django, or FastAPI.
- Experience designing APIs using REST, GraphQL, or gRPC.
- Ability to model data across SQL, NoSQL, time-series, and vector stores and understand their tradeoffs.
- Working knowledge of at least one major cloud platform: AWS, GCP, or Azure.
- Track record of debugging difficult production issues and delivering fixes.
- Preferred experience with real-time systems such as WebSockets, server-sent events, pub/sub, or streaming pipelines.
- Preferred working knowledge of TypeScript and a modern frontend framework such as React or Vue.
- Preferred background in video infrastructure, computer vision applications, notification and alert routing, or LLM and agentic applications.
- Preferred experience scaling multi-tenant SaaS for large enterprise deployments.
Benefits
- Hybrid schedule: engineering, product, design, marketing, and talent teams work from the Redwood City office three days per week.
- Other Bay Area employees work from the office on Fridays.
- Equal Opportunity Employer and E-Verify participant.
Tech Stack
Categories
About Ambient.ai
Ambient.ai builds enterprise physical security software that uses computer vision and AI to detect threats and automate response across video, access control, and sensor data. The SaaS platform integrates with existing cameras and PACS to unify monitoring, investigations, and incident orchestration for large facilities. Founded in 2016 and headquartered in Redwood City, California, the privately held company serves enterprises across campuses, data centers, and critical infrastructure.