Senior Backend Engineer - AI Infrastructure & Observability
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
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
San Francisco, CA (Chinatown)
- On-site
- Full-time Compensation: $300,000โ$450,000 + equity
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
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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.
Requirements
- Roughly 5โ8 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).
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- 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.
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- 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).
- 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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