Staff Backend Engineer

Recruiting From ScratchSan Francisco, CA
Onsite

About The Position

Our client is building next-generation real-time AI infrastructure powering enterprise-grade customer automation. Their platform enables AI agents to handle highly complex customer interactions across voice, chat, and email in regulated, high-stakes environments where reliability, compliance, and scale are critical. Already deployed with Fortune 500 customers, they are rapidly scaling toward becoming the foundational AI platform for enterprise automation. This is an opportunity to join a fast-scaling AI infrastructure company at a pivotal inflection point and shape the technical direction of systems operating at massive scale.

Requirements

  • 7+ years of backend or distributed systems engineering experience
  • Staff-level technical ownership experience
  • Strong architectural decision-making capability
  • Deep backend systems expertise
  • Experience building large-scale production infrastructure
  • Hands-on coding excellence
  • Strong distributed systems fundamentals
  • Experience operating high-availability production systems
  • Strong technical judgment
  • Track record leading complex technical initiatives
  • Experience influencing engineering organizations through technical leadership

Nice To Haves

  • Staff / Principal engineering experience
  • High-growth infrastructure startup experience
  • Distributed systems / platform engineering expertise
  • Real-time systems experience
  • Enterprise-scale backend infrastructure
  • Python backend depth
  • AWS / Kubernetes expertise
  • Postgres and data systems architecture
  • High-throughput systems design
  • Operational excellence / observability leadership
  • Strong mentorship through technical execution
  • Infrastructure scaling through hypergrowth
  • Fast-moving startup adaptability
  • High agency and systems thinking
  • Bias for building over advising

Responsibilities

  • Lead architecture decisions across critical backend systems
  • Design scalable infrastructure for real-time AI agent orchestration
  • Own ambiguous, high-impact technical initiatives
  • Drive backend platform evolution as systems scale
  • Solve complex distributed systems challenges
  • Build highly available systems operating at enterprise scale
  • Identify technical gaps before they become operational risks
  • Drive technical strategy across multiple engineering domains
  • Set standards for system design, code quality, and operational excellence
  • Write production code and ship hands-on
  • Mentor engineers through technical collaboration
  • Influence engineering direction across teams
  • Improve system reliability, observability, and performance
  • Architect systems balancing speed, scale, reliability, and complexity

Benefits

  • Competitive equity
  • Visa sponsorship support
  • Full health / dental / vision
  • Meals and office perks
  • Wellness allowance
  • Commuter benefits
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