Senior Backend Engineer

Giga AI Inc

$200K — $500K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of hands-on engineering experience in backend development.
  • Exceptional skills in Python; Django experience is advantageous.
  • Experience with cloud services like AWS or Google Cloud.
  • Understanding of containerization tools such as Kubernetes and Docker is a plus.
  • Background from a top-tier engineering program with leadership roles.

Responsibilities

  • Ship and take ownership of product lines quickly.
  • Design scalable and secure backend solutions for growth.
  • Translate company vision into actionable project plans.
  • Collaborate with founders and teams for impactful product releases.
  • Drive technical architecture decisions and design.

Benefits

  • Competitive total compensation package.
  • Equinox membership for wellness.
  • Full health, dental, and vision insurance coverage.
  • On-demand snacks, coffee, and DoorDash credits.
  • Covered Uber rides for safe travel home.
Full Job Description
Location: San Francisco (100% In-Office)
Experience: 5+ years
Salary: $200K - $500k • Offers Equity

About Us

At Giga, we're shaping the future of conversational AI, fully automating customer support to elite levels for enterprises with a lean team of engineers.

Our customers trust our agents to navigate complex, real-world conversations with clarity, accuracy and scalability. We've deployed AI agents that resolve over 1 million support tickets monthly for one of our early customers alone. Now working with the most recognizable names in food delivery and crypto, we are gaining significant traction as a frontrunner in this space against our biggest competitors.

With multi-year contracts secured across several industries and a large Series A round that recently closed with investors such as Y-Combinator and Nexus VP, we're on track to power the next trillion voice interactions.

Why Join Us?
  • Momentum: Be a part of a team that has seen validation from both customers and investors alike
  • Ownership: Be a key contributor to cutting-edge ML projects transforming industries and influence the company's technical direction
  • Growth: Develop yourself alongside top-tier engineers and Founders

About the Role

We're seeking a seasoned SeniorBackend Engineer with hands-on experience in building processes & infrastructure. You should take pride in your work and write high-quality, scalable code. If you thrive in a fast-paced, high-ownership environment, we want to hear from you.

What You'll Do:
  • Ship and Own Products: Rapidly contribute to our products, eventually owning your own product or product lines.
  • Design Scalable Solutions: Crafting systems that remain fast, reliable, and secure as we grow while owning key backend & infrastructure projects.
  • Translate Vision into Launches: Partner with founders and cross-functional teams to turn big ideas into clear plans, drive sprints, and land high-impact releases.
  • Technical Leadership: Drive technical decisions and architecture design, shaping the foundation of our solutions.


Who You Are / Must-Haves:
  1. Exceptional Engineer
    • Backend: Strong experience in Python (Django experience is a plus)
    • Cloud: Proficient with AWS or Google Cloud
    • Scalability: Familiarity with Kubernetes and Docker is a plus
  2. Entrepreneurial: Preference for candidates with experience at successful startups - former founders are especially valued
  3. Seasoned: 5+ years of hands-on engineering experience with roles in leadership
  4. Gritty: Capable of working long productive hours
  5. Strong Background: Degree from a top-tier engineering program


Perks & Benefits
  • Competitive total compensation
  • Equinox membership
  • Full health, dental, and vision coverage
  • On-demand snacks, coffee, and Doordash Credits
  • Ubers covered home


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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