---
title: Lead Software Engineer, Backend at Faros
description: Faros is hiring for the Lead Software Engineer, Backend role in San Mateo, CA.
  Pays $210K–$250K per year. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/lead-software-engineer-backend-at-faros-01a0fed0-a7af-76c9-b456-849bd9968412
date: 2026-11-15T01:26:44Z
og_description: Join Faros as Lead Software Engineer, Backend in San Mateo, CA. Pays $210K–$250K
  per year. Full-time, hybrid role.
og_image: https://www.foundrole.com/og/wnowh8.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
  - label: Search
    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | Faros |
| **Location** | Redwood City, CA (Hybrid) |
| **Salary** | $210K/yr - $250K/yr |
| **Type** | Full Time |
| **Posted** | Oct 03, 2026 |

## Is this job real?

**Ghost job check:** B · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** No H-1B sponsorship on record for Faros.
- **E-Verify:** No E-Verify enrollment on record for Faros.

## Pay for similar jobs

Most similar jobs pay $186,000 – $222,000 a year (median $202,000).

## Description

## **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)
## Skills

- AI-Assisted Software Development
- Cloud Computing
- Digital Operational Resilience Act (Dora) Compliance
- Amazon Web Services
- NoSQL
- Analytics
- Message Queues
- Infrastructure as Code (IaC)
- MLOps
- Extract Transform Load (Etl)
- Authentications
- Logging
- Python
- Code Quality
- Database Management
- Technology Roadmap
- Web Services
- GitHub Actions
- CircleCI
- Microsoft Azure
- Distributed Tracing
- SQL
- Secrets Management
- Scalability
- CI/CD
- Mentoring
- Developer Productivity
- English
- Google Cloud Platform (Gcp)
- TypeScript
- Serverless Computing
- Leadership
- Computer Science
- Software as a Service (SaaS)
- Business Strategies
- Node.js
- Communication
- Production Deployment
- Writing
- AI Coding Agents
- Data Pipeline

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