Technical Recruiter - Infrastructure

Harvey

• $130K — $150K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-5 years of full-cycle technical recruiting experience
  • Experience hiring for infrastructure, platform, SRE, or platform engineering roles
  • Proven track record of sourcing and hiring senior and Staff-level engineers
  • Technical fluency to discuss infrastructure topics knowledgeably
  • Strong relationships with hiring managers; viewed as a partner
  • Data-driven approach to recruitment and diagnostics
  • Awareness of the infra and AI talent market
  • Low ego paired with high ownership qualities

Responsibilities

  • Partner with Infra and Platform leaders to develop strategic hiring plans
  • Build and maintain talent pipelines across various infra specialties
  • Map talent from companies known for infrastructure excellence
  • Advise hiring managers on the competitive talent landscape
  • Facilitate efficient and candidate-friendly interview processes
  • Effectively close candidates by highlighting Harvey's infrastructure challenges
  • Utilize data to refine hiring processes and drive improvements
  • Enhance recruitment strategies through creating interview plans and referral programs

Benefits

  • Flexible working hours and remote work options
  • Employee development and continuous learning opportunities
  • Comprehensive health and wellness programs
  • Support for employee-led initiatives and events
  • Collaborative and inclusive company culture
Full Job Description
Role overview

You'll be a dedicated recruiting partner for Harvey's Infrastructure and Platform organization, covering Core Infrastructure, Model Infrastructure, Database Infrastructure, Backend Platform. This is a full-cycle role where you'll own the process from market mapping and sourcing through closing, working with engineering leaders to hire engineers and managers from Mid-level to Staff.

What you'll do
  • Partner with Infra and Platform leaders to turn roadmap priorities into a clear hiring plan: which roles, which profiles, in what order
  • Build and maintain pipelines across infra specialties: distributed systems, cloud (AWS/Azure), Kubernetes, databases/Postgres, SRE and reliability, ML/model serving, and security
  • Map talent at the companies that have solved infra at scale (hyperscalers, AI labs, and high-growth infra and data companies) and run targeted outreach to passive senior and Staff+ engineers
  • Advise hiring managers on the infra talent market, including comp, competing offers, level calibration, and what these candidates look for in their next role
  • Run a high-signal, candidate-first process for technical loops (system design, deep dives, on-call and reliability scenarios), and keep interviewers calibrated and moving quickly
  • Close competitive candidates by telling a clear story about Harvey's infra problems, their scope, and why they matter
  • Keep Ashby clean and use pipeline data (conversion, time in stage, source quality) to change course when something isn't working
  • Improve how we hire infra talent: interview plans, sourcing playbooks, referral programs, and events


What you have
  • 3-5 years of full-cycle technical recruiting, including meaningful time hiring infrastructure, platform, SRE, or platform engineers
  • Experience in a high-growth startup or scale-up where speed and quality both mattered
  • A track record of hiring senior and Staff-level engineers, including passive candidates you sourced yourself
  • Enough technical fluency to have credible conversations about infra work: you can tell a platform engineer from an SRE, and a database specialist from a distributed systems generalist, and you can pitch each one's problems at Harvey
  • Strong relationships with hiring managers, who treat you as a partner rather than an order-taker
  • Comfort with data. You use metrics to diagnose problems and influence decisions
  • You follow the infra and AI talent market: which companies are growing, which are shrinking, and where top engineers want to go next
  • Low ego and high ownership. You'll roll up your sleeves to get the team built
  • Nice to have: experience recruiting for AI/ML infrastructure or model serving teams, security or compliance-heavy environments, or distributed engineering teams across multiple locations.


Compensation Range

130,000- 150,000 USD

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