Lead Software Engineer
Faros AI
Lead Software Engineer
Faros AI
AI-driven platform for engineering analytics
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.
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.
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.
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)
Faros AI provides a data analytics platform for engineering teams, offering a single-pane view of metrics like velocity, quality, and goals to measure productivity and quality. The platform consolidates all operational data in one place, enabling data-informed decisions and identification of systemic issues. It is API-first and extensible, allowing users to connect any data source, start with out-of-the-box modules and benchmarks, and customize analytics. Faros AI differentiates itself by focusing on engineering leaders with an all-in-one, highly flexible data integration and analytics solution, rather than relying on disparate tools or gut-driven decisions. The company's goal is to help engineering teams improve efficiency and productivity by providing actionable, centralized insights through a unified platform.
Explore more opportunities at Faros AI