GIGA Senior Backend Infrastructure Engineer

Job Overview

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.

Key Responsibilities

• 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

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.

Tech Stack

Backend: Python (Django/FastAPI), TypeScript (Node.js)
Infrastructure: AWS, Modal, Kubernetes
Data: ClickHouse, PostgreSQL, Redis
Tooling: Terraform, Docker, CI/CD pipelines

Required Qualifications

• 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 product—you want the tools you build to be a pleasure to use


• Are excited about the infrastructure challenges of running AI agents at scale

Benefits

Catered lunch daily
Dinner stipend $150/month wellness benefit (gym, fitness classes, mental health)
Commuter benefits
Health Benefits