Faros Ai
Lead Software Engineer - Backend
Redwood City, Remote. Posted a month ago
The role
This is a hands-on role building core systems and solving complex technical challenges. You will architect and scale data infrastructure and lead backend service development.
What you will do
- Architect, build, and scale highly scalable data infrastructure and core engineering platforms.
- Own technical problems from whiteboard design to production deployment.
- Write high-quality, resilient code.
- Establish architectural standards and best practices for backend services/APIs.
- Act as a technical partner to product and engineering leadership.
- Translate business strategy into technical roadmaps.
- Mentor other engineers.
Required qualifications
- 5–8+ years with ownership of critical components or services
- Expert-level proficiency in TypeScript + Node.js and/or Python
- Experience designing/consuming/implementing REST/GraphQL APIs
- Experience with building & productionizing web services, data pipelines, ETL/ELT, orchestration frameworks
- Strong database fundamentals (SQL/NoSQL)
- CI/CD familiarity (GitHub Actions, CircleCI, etc.)
- Experience running production workloads including monitoring, alerting, logging, metrics, traces, oncall
- Security fundamentals
- Hands-on experience with one of more major cloud providers: AWS, Azure, GCP
- Comfortable working with distributed international teams
- Strong ability to communicate complex technical trade-offs to non-technical stakeholders
- English C1
Nice to have
- certifications (for cloud providers)
- Experience with building & integrating with SaaS platforms
- Experience with engineering analytics or developer-productivity tooling
- Experience with IaC, containers, serverless, queues/event-driven architectures
- Experience with security practices (authN/authZ, secrets management)
- Familiarity with engineering metrics (DORA, code quality, delivery metrics)
- Hands-on experience using coding agents (AI-assisted development)
About the company
Faros AI provides an engineering intelligence platform that provides visibility and context across software delivery systems. The company is building the foundation for how humans and AI will build software together.