Drimva

Kikoff

Engineering Manager, Infrastructure

$307K–$352K

San Francisco +1 · Manager · Full-time · Posted Aug 11, 2026

Location
San Francisco
San Francisco, California, United States
Experience
8+ years of engineering experience and 2+ years managing engineers, or an equivalent record of technical leadership and people development.

About the job

Leads and develops an infrastructure engineering team while shaping reliable, secure, cost-conscious platforms and internal services for Kikoff engineers.

What you'll do

  • Coach and grow infrastructure engineers, hire talent, establish ownership and sustainable on-call practices.
  • Guide technical direction across infrastructure domains, review designs and code, and improve systems through incident response.
  • Run infrastructure as a product by prioritizing roadmaps, building self-service platforms, and measuring reliability, delivery, cost, toil, and on-call outcomes.

What they ask for

  • 8+ years of engineering experience and 2+ years managing engineers, or an equivalent record of technical leadership and people development.
  • Strong infrastructure fundamentals, including ability to review code and designs, make architecture decisions, and contribute directly.
  • Experience operating consequential production systems, responding to incidents, and improving systems afterward.
  • Track record of hiring, coaching, and developing engineers; setting technical direction and creating executable roadmaps for ambiguous infrastructure problems.

Nice to have

  • Depth in observability, cloud compute, networking, storage, data infrastructure, developer tooling, or security.
  • Experience running internal platforms as a product in fintech or another regulated environment, including measuring adoption and customer outcomes during rapid growth.

Pay

$307,000 — $352,000 USD (base salary)

Tools

observability, cloud compute, networking, storage, data infrastructure, developer tooling, security

AI focus

Help build an infrastructure platform that can absorb increased code and change driven by AI without increasing incidents, unsustainable costs, or reliance on heroics.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)