Lead Software Engineer - Backend
Confirmed on the employer's own hiring board on Oct 4, 2026. First seen by Alion on Oct 2, 2026. Faros AI scores C on the Alion truth index.
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. 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 Requirements
Experience
5-8+ years with ownership of critical components or services
Technical Stack
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
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
Strong ability to communicate complex technical trade-offs to non-technical stakeholders
English
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)