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. This is a hands-on role. While you will drive architectural vision and mentor senior engineers, you will spend a significant portion of your time writing code, building core systems, and solving our most complex technical challenges.
Responsibilities
Architect, build, and scale our highly scalable data infrastructure and core engineering platforms, owning the hardest technical problems from whiteboard design all the way through to production deployment.
Lead from the front by writing high-quality, resilient code, establishing architectural standards, and building best practices for backend services/APIs to ensure system-wide reliability, security, and scalability.
Act as a technical partner to product and engineering leadership, translating business strategy into technical roadmaps and mentoring other engineers.
Baseline RequirementsExperience
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 (certifications are a plus)
Comfortable working with distributed international teams
Strong ability to communicate complex technical trade-offs to non-technical stakeholders
English C1: able to participate in technical calls and write clear communication.
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)
Skills Required
- 5-8+ years of experience owning critical components or services
- Expert-level proficiency in TypeScript and Node.js and/or Python
- Experience designing, consuming, or implementing REST or GraphQL APIs
- Experience building and productionizing web services, data pipelines, ETL/ELT, and orchestration frameworks
- Strong SQL and NoSQL database fundamentals
- Familiarity with CI/CD tools such as GitHub Actions or CircleCI
- Experience running production workloads, including monitoring, alerting, logging, metrics, traces, and on-call operations
- Security fundamentals
- Hands-on experience with AWS, Azure, or GCP
- Ability to work with distributed international teams
- Strong communication skills for explaining technical trade-offs to non-technical stakeholders
- English proficiency at C1 level
- Degree in Computer Science or Software Engineering, or equivalent real-world experience
- Experience building and integrating with SaaS platforms
- Experience with engineering analytics or developer-productivity tooling
- Experience with Infrastructure as Code, containers, serverless systems, or queues and event-driven architectures
- Experience with authentication, authorization, and secrets management
- Familiarity with DORA, code quality, and delivery metrics
- Hands-on experience using coding agents or AI-assisted development
What We Do
Faros provides a token-engineering platform for organizations using AI coding agents. It connects agents, harnesses, and engineering systems, linking sessions, commits, pull requests, and token usage into a live view of engineering work. The platform analyzes code history to identify effective model routes and context, then applies approved routing, budgets, and compliance policies. It also measures AI engineering outcomes and uses those results to improve subsequent routing decisions.
