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Member of Technical Staff, Backend

highlightai · San Francisco

Onsite Senior 🇬🇧 English
APIs Databases Asynchronous processing Queues Pipelines WebSockets Pub/Sub Caching Batching Authentication Observability Monitoring Testing Incident readiness Debugging

Job description

About the role

Highlight is building a shared intelligence layer for modern workforces. As a Member of Technical Staff, Backend you will own critical backend infrastructure that powers team management, permissions, LLM efficiency, and integration‑driven workflows, delivering high performance and reliability.

Key responsibilities

  • Design and build multi‑tenant backend foundations, permissions systems, and internal/admin tooling.
  • Develop and operate asynchronous processing pipelines for background workloads and workflow orchestration.
  • Improve system performance and cost through caching, batching, and efficient data‑access patterns.
  • Create secure, extensible integration infrastructure including authentication, APIs, and third‑party connectors.
  • Raise backend engineering quality via observability, testing, incident readiness, and operational best practices.
  • Collaborate cross‑functionally to ship end‑to‑end features while ensuring durability and extensibility.

Required profile

  • 5+ years building production backend systems in fast‑moving startups.
  • Ownership mindset: comfortable handling architecture, implementation, deployment, monitoring, and debugging.
  • Experience with reliable distributed systems (APIs, databases, async jobs, queues, pipelines).
  • Background in real‑time systems (WebSockets, pub/sub, event fan‑out) at scale.
  • Familiarity with enterprise‑grade multi‑tenant architectures, team management, and role/permission models.
  • Data‑driven orientation with ability to measure impact of engineering work.

Required skills

  • APIs
  • Databases
  • Asynchronous processing
  • Queues and pipelines
  • WebSockets
  • Pub/Sub and event fan‑out
  • Caching and batching
  • Authentication and third‑party connectors
  • Observability and monitoring
  • Testing and incident readiness
  • Debugging
  • LLM infrastructure patterns (caching, batching, evals, integrations)

Questions fréquentes

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Source : ats:ashby

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Published 1 month ago

Expires 3 weeks from now

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highlightai

San Francisco