Senior Backend Infrastructure Engineer

Posted 8 Days Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
200K-280K Annually
Senior level
Artificial Intelligence • Machine Learning • Productivity • Software
The Role
The role involves building the backend infrastructure for AI agents, focusing on deployment systems, observability, and developer tooling, ensuring reliability and productivity for the engineering team.
Summary Generated by Built In
About Giga

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

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

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.

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 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


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.

Skills Required

  • 4+ years of experience in infrastructure, platform, or backend engineering roles
  • Experience with AWS, Kubernetes, and backend development
  • Knowledge of CI/CD pipelines and cloud infrastructure
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
37 Employees
Year Founded: 2023

What We Do

Giga provides an AI platform for voice and chat agents that automates customer service and operational workflows with analytics. They build and deploy AI support agents for large B2C companies, focusing on LLMs for on-premise deployment and enhancing customer experiences.

Similar Jobs

Kira Learning Logo Kira Learning

Senior Software Engineer

Artificial Intelligence • Information Technology • Software
Hybrid
San Francisco, CA, USA
50 Employees
170K-230K Annually
In-Office
San Francisco, CA, USA
30 Employees
200K-280K Annually

Taara Logo Taara

Software Engineer

Information Technology • Software
Hybrid
Sunnyvale, CA, USA
63 Employees
160K-210K Annually

Sphere (getsphere.com) Logo Sphere (getsphere.com)

Senior Back-end Engineer

Artificial Intelligence • Information Technology • Software
In-Office
San Francisco, CA, USA
27 Employees
230K-260K Annually

Similar Companies Hiring

Fairly Even Thumbnail
Hardware • Other • Robotics • Sales • Software • Hospitality
New York, NY
30 Employees
Bellagent Thumbnail
Artificial Intelligence • Machine Learning • Business Intelligence • Generative AI
Chicago, IL
20 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account