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Senior Backend Engineer - AI Infrastructure & Observability

david joseph & company โ€ข United State
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AI Summary

Lead backend development and architecture decisions for an AI agent observability platform. Build and optimize columnar/OLAP database systems at production scale. Mentor junior engineers and establish engineering best practices.

Key Highlights
Series A-funded AI infrastructure startup building autonomous agent monitoring platform
Hands-on senior backend role with direct founder partnership and architecture ownership
On-site full-time position in San Francisco Chinatown with $300K-$450K compensation + equity
Key Responsibilities
Lead backend development hands-on while guiding architecture and design decisions across the team
Improve code quality, reduce technical debt, and put scalable engineering practices in place as volume grows
Build and optimize backend systems on columnar/OLAP databases to power the platform at production scale
Mentor junior engineers and set the bar for technical excellence
Partner with founders on reliability, scalability, and deployment decisions
Technical Skills Required
Backend systems Columnar/OLAP databases Cloud infrastructure
Benefits & Perks
Competitive compensation
Meaningful equity
Full benefits package (including Equinox membership)
H-1B visa sponsorship available
Nice to Have
Has owned backend architecture decisions in a high-scale environment
Prior experience building analytics or observability infrastructure
Comfortable working with high-volume time-series or event data
Strong record of mentoring and developing junior engineers
Thrives in a fast-paced, in-office startup culture

Job Description


San Francisco, CA (Chinatown)

  • On-site
  • Full-time Compensation: $300,000โ€“$450,000 + equity


About The Company

Our client is a Series A company building infrastructure for monitoring and evaluating how autonomous AI agents behave in production. Their platform surfaces behavioral anomalies โ€” things standard observability tooling misses โ€” so teams can catch reliability breakdowns after deployment and continuously improve their systems. Hundreds of teams building autonomous agents already rely on the product, and the company recently closed significant funding from a group of leading venture investors.

Series A

  • Backed by top-tier investors
  • Industry: AI infrastructure / developer tooling


The Role

This is an early senior backend hire brought in to mature the company's software systems and engineering practices as it scales. You'll be a hands-on technical leader โ€” writing code daily while owning system architecture, code quality, and deployment standards โ€” working closely with the founding team on the scalability and reliability decisions that define the next phase of the business.

What You'll Be Doing

  • Lead backend development hands-on while guiding architecture and design decisions across the team.
  • Improve code quality, reduce technical debt, and put scalable engineering practices in place as volume grows.
  • Build and optimize backend systems on columnar/OLAP databases to power the platform at production scale.
  • Mentor junior engineers and set the bar for technical excellence.
  • Partner with founders on reliability, scalability, and deployment decisions.


Tech stack: Backend systems, columnar/OLAP databases (e.g. ClickHouse), cloud infrastructure and deployment pipelines at scale.

Requirements

  • Roughly 5โ€“8 years of backend or full-stack engineering experience, ideally built at venture-backed or major technology companies.
  • Hands-on production experience with columnar/OLAP databases such as ClickHouse.
  • A track record of owning system design and architecture decisions directly.
  • Experience mentoring engineers and raising the overall engineering bar.
  • Able and willing to work on-site full-time in San Francisco (Chinatown).


Nice to Haves

  • Has owned backend architecture decisions in a high-scale environment.
  • Prior experience building analytics or observability infrastructure.
  • Comfortable working with high-volume time-series or event data.
  • A strong record of mentoring and developing junior engineers.
  • Thrives in a fast-paced, in-office startup culture.


Why Join

  • An early senior seat with real architecture ownership and direct founder partnership.
  • A well-funded, fast-growing company working at the frontier of AI agent reliability.
  • Competitive compensation, meaningful equity, and a full benefits package (including Equinox membership).


Details

  • Location: San Francisco, CA (Chinatown)
  • Work policy: On-site, full-time
  • Compensation: $300,000โ€“$450,000 + equity
  • Visa sponsorship: H-1B sponsorship available
  • Employment type: Full-time

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