Staff Backend Engineer

Reposted 9 Days Ago
Be an Early Applicant
San Francisco, CA
In-Office
200K-500K Annually
Senior level
Software
The Role
As a Staff Backend Engineer, you'll design scalable solutions, lead technical architecture, contribute to products, and work in a dynamic environment with a focus on high-quality code.
Summary Generated by Built In

Location: San Francisco (100% In-Office)
Experience: 7+ years
Salary: $200K - $500k • 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 backend engineers to build the infrastructure and systems that power our AI agents. You'll work across the stack—from data pipelines and analytics to real-time agent systems—shipping features that directly impact how our customers operate.

This isn't a role where you'll be handed a spec and asked to execute. You'll own problems end-to-end: figuring out the right approach, building it, and iterating based on what you learn.

What You'll Work On

As a senior engineer, you'll be expected to make sound technical decisions, ship reliably, and help set the bar for code quality and system design. You'll have significant autonomy and influence over what gets built and how.

Tech Stack

  • Backend: Python, Django

  • Infrastructure: AWS, Modal, Kubernetes

  • Frontend: TypeScript, Vite (you'll interact with this, but it's not the focus)

You Might Be a Fit If You

  • Have 6+ years building backend systems, ideally at companies where reliability and scale mattered

  • Are comfortable with ambiguity—you can take a loosely-defined problem and figure out what to build

  • Aren't precious about boundaries—you'll jump into unfamiliar parts of the codebase when that's what the problem requires

  • Write clean code and care about getting the details right, but also know when to ship

  • Want to work on hard problems with a small team where your work has obvious impact

  • Are excited about AI agents and the infrastructure challenges that come with running them in production

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

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Interview Process

  • Screening call w/ recruiting lead (20 min)

  • Intro call w/ Founding Engineer (15 min)

  • Live coding round w/ Founding Engineer (1 hr)

  • In-office interview (full day)

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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.

Top Skills

AWS
Django
Docker
GCP
Kubernetes
Python
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The Company
HQ: San Francisco, California
30 Employees
Year Founded: 2023

What We Do

On a mission to save people time.

We build enterprise AI voice agents that handle complex customer interactions with unmatched speed and scale.

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