As a Staff Backend Engineer, you will lead the technical architecture of Giga’s real-time AI platform. This is a high-impact individual contributor role where you’ll solve complex distributed systems problems, scale infrastructure to millions of requests, and set engineering standards. You’ll drive high-stakes initiatives that define the future of enterprise automation and voice superintelligence.
Staff Backend Engineer at Giga
As a Staff Backend Engineer in San Francisco, you’ll escape the management track to solve the hardest technical problems in distributed systems and real-time AI. With a $290K-$400K salary plus equity, this is a rare opportunity to architect the future of customer experience at a scale that affects millions daily. Join a tight-knit team of 30 and drive technical strategy at the most exciting inflection point in the company's history.
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Location
San Francisco, United States
Compensation
$290k-$400k + Equity
Company
Giga
Role overview
Giga is an AI company that provides advanced AI agents for enterprises, designed to manage complex workflows, handle millions of customer interactions with high accuracy and human-like empathy, deploy rapidly, and deliver scalable customer support solutions that understand emotions, resolve issues in real-time, and support chat, voice, and multi-modal interactions.
What you will do
- Architect and evolve the core agent infrastructure, making critical tradeoffs between speed, reliability, and complexity as the platform scales.
- Lead the most ambiguous and highest-stakes technical projects, turning vague requirements into robust, production-ready backend systems.
- Mentor the engineering team through hands-on collaboration, code reviews, and the development of high-standard design documentation and operational excellence.
Who this is a fit for
- Brings 7+ years of backend experience with a track record of architecting distributed systems that scale through multiple orders of magnitude.
- Possesses deep expertise in Python (Django/FastAPI) and TypeScript (Node.js), with a strong grasp of AWS, Kubernetes, and Postgres infrastructure.
- Thrives in high-pace startup environments, demonstrating the ability to own technical strategy and solve hard problems with minimal guidance.
Why this role is remarkable
- Join an elite, engineer-led team of 30 at a pivotal $61M Series A stage, working on generational voice AI technology already trusted by Fortune 500 companies.
- Enjoy massive technical ownership and a broad remit across APIs, data pipelines, and platform services with zero fundraising burden or management overhead.
- Experience a high-velocity environment where staff-level engineers are expected to ship production code and architect systems that scale to millions of daily interactions.
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