Senior Backend-Focused Fullstack Engineer
Compensation: $160K$250K base + equity
Location: San Francisco, CA (Hybrid: 23 days onsite/week)
Visa Sponsorship: Not available

Who are we?

Were a high-growth, venture-backed AI startup scaling rapidly from 7-figure to 8-figure revenue. With a lean, high-caliber engineering team and a Series B raise around the corner, we're building systems that support thousands of concurrent AI agents interacting in real time. You'll join us as one of the first 30 employees, working directly with the CTO and founding team to build the infrastructure powering our next stage of growth.

Why Join Us?

• Rapid growth: from 7-figure to 8-figure revenue by end of year

• Series A backed by top-tier investors; Series B in motion

• Total ownership over your work and technical decisions

• Equity upside in a company with real traction and unicorn potential

• Work alongside top-tier engineers in a collaborative, high-output team

• Solve cutting-edge infrastructure challenges in AI deployment at scale

• Tackle systems that support millions of user interactions daily

Ideal Candidate Profiles

• Engineers with experience at high-scale platforms (e.g. DoorDash, Uber, Lyft)

• Startup engineers who've built and shipped backend systems from scratch

• Candidates who prefer early-stage chaos to polished big orgs

• Builders with a strong "founder mentality": resourceful, independent, low ego

About the Role

You'll design and scale backend systems that keep thousands of concurrent AI agents communicating with minimal latency. You'll help us auto-scale AI workloads, harden our infrastructure, and tackle high-throughput, low-latency challenges.

If you love building, want to take ownership, and are hungry to solve real-world AI problems at scale this is your moment.

Responsibilities

• Architect fault-tolerant, multi-region backend systems

• Write Go to automate operational workflows and scale services

• Improve system latency, uptime, and observability

• Collaborate with product and platform teams on system design and reliability

• Lead post-mortems, resilience improvements, and incident response processes

• Build tools and infrastructure that empower the entire engineering org

Must-Haves

• 410 years of software engineering experience

• 23+ years hands-on Go experience

• Experience scaling backend systems from scratch (6070% backend, 3040% frontend)

• Deep understanding of distributed systems, APIs, and database design

• Strong Kubernetes and cloud infrastructure experience

• Startup-ready mindset: hard work, independence, ownership

• Passion for AI-driven technologies and infrastructure

• Clear articulation of individual contributions (not just team outcomes)

• Willingness to work long hours (up to 70-hour weeks when needed)

Were only advancing candidates who meet most of the following:

• 
  

• 410 years of backend-focused engineering experience

• 23+ years working in Go

• Hands-on experience building and scaling backend systems from scratch

• Strong grasp of Kubernetes and distributed infrastructure

• Frontend experience in React and TypeScript (bonus)

• Experience at top-tier tech companies or fast-scaling startups

• Strong CS fundamentals (preferably from a top academic program)

• Passion for AI systems and deployment

• Ability to clearly articulate technical ownership and systems design decisions

• Cultural alignment: high agency, low ego, work ethic

What is your experience with Go and Kubernetes?

Have you worked on high-scale infrastructure or user-heavy systems?

Have you built backend systems from scratch in a startup environment?

Are you open to working long hours when needed?

Can you be onsite in SF 2-3 days per week? If not, are you willing to relocate?