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Faros AI is building an engineering intelligence platform that provides visibility and context across software delivery systems. The platform supports engineering leaders today and is positioned to be essential as AI agents operate within real software delivery environments. You'll help lay the foundation for how humans and AI will build software together.
This is a hands-on senior backend engineering 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 complex technical challenges.
Key Responsibilities:
- Architect, build, and scale highly scalable data infrastructure and core engineering platforms, owning the hardest technical problems from design through production deployment
- Lead from the front by writing high-quality, resilient code, establishing architectural standards, and building best practices for backend services and 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
Requirements:
- 5–8+ years of experience with ownership of critical components or services
- Expert-level proficiency in TypeScript + Node.js and/or Python
- Experience designing, consuming, and implementing REST/GraphQL APIs
- Experience building and productionizing web services, data pipelines, ETL/ELT, and orchestration frameworks
- Strong database fundamentals (SQL/NoSQL)
- CI/CD familiarity (GitHub Actions, CircleCI, etc.)
- Experience running production workloads including monitoring, alerting, logging, metrics, traces, and oncall
- Security fundamentals
- Hands-on experience with one or more major cloud providers (AWS, Azure, GCP; certifications a plus)
- Comfortable working with distributed international teams
- Strong ability to communicate complex technical trade-offs to non-technical stakeholders
- English C1 level: 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 building and 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)
