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Staff Backend Engineer

Giga· Engineering
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New York$200k - $400kFull-timePosted 8mo ago

About the role

Staff engineer to shape the technical direction of backend systems, lead complex projects, own systems, and mentor engineers while shipping high-quality code.

Responsibilities

  • System architecture: Designing how agent infrastructure should evolve as we scale, making tradeoffs between speed, reliability, and complexity
  • Hard technical problems: Owning the most ambiguous, highest-stakes projects where getting it wrong would hurt the business
  • Technical strategy: Identifying gaps in our systems before they become problems and building the case for addressing them
  • Engineering quality: Setting standards for code review, system design, and operational excellence through your own work
  • Mentoring other engineers and helping them grow through collaboration on real work

Qualifications

  • Have 7+ years of backend engineering experience, with a track record of leading complex projects
  • Have opinions about how systems should be built, and can articulate the tradeoffs behind those opinions
  • Can take a vague problem and turn it into a clear technical approach without much guidance
  • Write excellent code and hold others to a high standard without being a bottleneck
  • Are energized by hard problems and comfortable with uncertainty
  • Want to be hands-on at a company where staff engineers ship code, not just review it
  • Have built systems that scaled and understand what breaks at each order of magnitude

Skills

Required:Backend engineeringSystem design and architectureCode quality and reviews
Nice to have:Mentorship

Benefits

  • Competitive base + bonus + equity
  • Catered lunch daily
  • Dinner stipend
  • $500/month wellness & commuter benefit (gym, fitness classes, mental health)
  • 401(k) plan
  • Medical, dental, and vision coverage
Last updated Jul 15, 2026. Interested? Apply on the company site.

About Giga

AI that talks like a human.

Enterprises choose Giga for AI agents that manage complex workflows, deploy rapidly, and deliver human-like customer experiences at scale.

AIsupport automationenterprise supportworkflow managementhuman-like customer experiences
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