Lead Backend Engineer (AI)

TL;DR

Lead Backend Engineer (AI): Leading the backend architecture and delivery of the Logs product area by owning the full lifecycle from API design through production reliability with an accent on end-user experience. Focus on log ingestion, storage, querying, and enrichment pipelines capable of handling hundreds of terabytes of telemetry daily.

Location: US-CA-Menlo Park

Salary: $200K – $287.5K

Company

hirify.global is powering the era of the agentic enterprise with an AI-powered observability platform built on the hirify.global AI Data Cloud and engineered for scale.

What you will do

• Lead the backend architecture and delivery of the Logs product area by owning the full lifecycle from API design through production reliability.
• Drive technical direction for log ingestion, storage, querying, and enrichment pipelines capable of handling hundreds of terabytes of telemetry daily.
• Build for both humans and AI agents by designing APIs and workflows that work equally well for UI users and programmatic access by AI coding agents.
• Partner deeply with PMs, Frontend, and Design to shape the product roadmap, translate user needs into sound technical designs, and identify backend capabilities that unlock high-value product experiences.
• Set the technical bar through code reviews, architecture reviews, and mentorship, establishing patterns that scale across the broader backend organization.
• Champion the use of AI-assisted development tools to maintain high code quality and accelerate delivery.

Requirements

• 7+ years of industry experience building and maintaining high-scale backend systems in production.
• Strong proficiency in Go, Java, or a comparable systems-oriented language.
• Deep experience designing and operating distributed systems.
• Demonstrated product acumen.
• Track record of leading end-to-end feature delivery in close partnership with cross-functional teams.
• Strong written and verbal communication.

Nice to have

• Experience building observability or log management systems.
• Experience operating data lakehouses under high performance and high scale.
• Experience with query DSLs, CEL, or similar expression evaluation frameworks.
• Prior experience in a tech lead or staff engineer capacity on a product-focused team.

Culture & Benefits

• Experimental mindset.
• Opportunity to redefine the future of how work gets done.
• Startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms.