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Senior Backend Infrastructure Engineer
Giga ML
- United States
- United States
À propos
Location: San Francisco, CA (In-office) & New York City, NY (In-office) Employment Type: Full-time Salary Band: Base Salary $210,000 - $350,000 (Offers Equity) About Giga
Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We're building the next generation of customer experience real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world's largest enterprises. It's an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers. The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us: Voice AI startup Giga raises $61M Series A DoorDash and Giga Partnership Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply! The Role
We're looking for an infrastructure engineer to build the platform that powers our AI agents. Your customers are other engineers on the team; you'll create the systems, tools, and abstractions that make everyone more productive and our platform more reliable. This isn't DevOps or traditional SRE. You'll write application code, but focused on the foundational layers: deployment systems, observability, data infrastructure, and the internal tools that let the team move fast without breaking things. What You'll Work On
Controlled deployments: Staged rollout systems with traffic scaling, scheduling, and pass rate thresholds to safeguard production Observability: Creating the instrumentation, logging, and monitoring infrastructure that helps us understand what's happening in production Data infrastructure: Building pipelines and storage systems for training data, analytics, and agent memory Developer tooling: Internal CLIs, testing frameworks, and automation that reduces friction for the engineering team As a senior infrastructure engineer, you'll own critical systems end-to-end and make decisions that affect the reliability and velocity of the entire engineering team. Tech Stack
Backend: Python (Django/FastAPI), TypeScript (Node.js) Infrastructure: AWS, Modal, Kubernetes Data: ClickHouse, PostgreSQL, Redis Tooling: Terraform, Docker, CI/CD pipelines You Might Be a Fit If You
Have 4+ years of experience in infrastructure, platform, or backend engineering roles Have built systems that other engineers depend on, and understand the responsibility that comes with that Care deeply about reliability, but also know when "good enough" is the right call Are comfortable across the stack, from application code to cloud infrastructure Can debug production issues under pressure and build systems that prevent them from recurring Think about developer experience as a productyou want the tools you build to be a pleasure to use Are excited about the infrastructure challenges of running AI agents at scale Perks & Benefits
Catered lunch daily Dinner stipend $150/month wellness benefit (gym, fitness classes, mental health) 401(k) plan Paid parental leave (12 weeks maternal, 6 weeks paternal) Commuter benefits Medical, dental, and vision coverage Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
Compétences linguistiques
- English
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