Mission
At Faros AI, we are reshaping the way engineering organizations operate, with an engineering intelligence platform that provides visibility and context across the organization's software delivery systems. This deep operational context supports engineering leaders today, and is increasingly essential as AI agents begin to operate within real software delivery environments. Faros AI is laying the foundation for how humans and AI will build software together in the years ahead.
About the Role
We’re looking for software engineers who want to build the future of engineering operations with us. You will spend a significant portion of your time writing code, building core systems, and solving our most complex technical challenges.
Responsibilities
Build and maintain data infrastructure that ingests and transforms engineering data at scale
Design and implement backend services/APIs balancing speed, flexibility, security, and scalability
Collaborate with product, data, and engineering teams to design data products and platform features
Baseline Requirements
Experience
5–8+ years with ownership of critical components or services
Technical Stack
Strong proficiency in TypeScript + Node.js and/or Python
Experience designing/consuming 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
Cloud
Hands-on experience with one of more major cloud providers: AWS, Azure, GCP (certifications are a plus)
Collaboration & Communication
Comfortable working with distributed international teams
English C1: able to participate in technical calls and write clear communication.
Education
Degree in Computer Science / Software Engineering, or equivalent real-world experience.
Nice-to-Haves
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)
Work Details
Our team meets in-person several days a week in San Mateo, CA.
Scale engineering with AI + humans. Get visibility and control over how work operates across code, people, and systems. Trusted by world's top teams.
Key team members
Dhruv Gupta
Simanta Chakraborty
Hernan Asorey
Oleg Gusak
Jobr aggregates jobs directly from company career portals — no middlemen. Our team applies on your behalf with AI-tailored resumes, reviewed by a human before submission.