Senior Backend Infrastructure Engineer

Giga has recently raised a $61M Series A and is working with Fortune 500 customers to deploy 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.

Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email, in high-stakes regulated environments where accuracy and compliance matter. We're at an exciting inflection point.

While we've found real commercial success, our ambitions are larger: to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. The work affects millions of people every day, and our team has the autonomy to make true impact - with brilliant founders, a clear path forward, and the kind of momentum that defines generational companies.

If being part of that resonates with you, we'd love to hear from you!

• Voice AI startup Giga raises $61M Series A

• DoorDash and Giga Partnership

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.

A few examples from our current priorities:

• 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.

• Backend: Python (Django/FastAPI), TypeScript (Node.js)

• Infrastructure: AWS, Modal, Kubernetes

• Data: ClickHouse, PostgreSQL, Redis

• Tooling: Terraform, Docker, CI/CD pipelines

• 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 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