Senior Member of Technical Staff, Platform Engineer (Infra)
About The Position
Pallet is hiring an infrastructure-focused Platform Engineer to take ownership of its most challenging scaling and reliability problems and help set the technical direction for operating the platform at scale. Pallet builds AI agents that automate manual workflows across freight, warehousing, and logistics. The role is among the company’s first infrastructure hires, with substantial scope and ownership, and works closely with the founding engineers who built and maintain Pallet’s infrastructure. The engineer will help scale the platform to millions of AI agent runs per day, make it portable across cloud providers and on-premises customer environments, and address complex enterprise requirements. The role also owns observability and incident response and improves the speed and dependability of local development, CI, deployments, and production debugging. Pallet values pragmatic engineering, proven technology, engineering judgment, and production experience. The position is full-time and onsite five days per week. The listed salary range is $200,000–$265,000, depending on experience, skill set, qualifications, and location. Competitive equity, benefits, and growth opportunities are also offered.
Requirements
- At least 5 years of experience in infrastructure, platform, or SRE roles; the posting notes that depth and judgment matter more than a precise number of years.
- Demonstrated depth in at least one of the following areas: databases, distributed systems, cloud infrastructure, observability, or application frameworks and runtimes.
- A track record of evidence-based engineering decisions, including setting SLOs, prioritizing performance work, planning capacity, finding bottlenecks, and understanding system failure modes.
- Production experience and sound engineering judgment.
Nice To Haves
- Experience at an early-stage company or team that the candidate helped scale.
- Experience with some of Pallet’s technology stack: TypeScript, Postgres, Redis, Google Cloud, OpenTelemetry, and Datadog.
Responsibilities
- Scale the platform to millions of AI agent runs per day by addressing capacity, performance, and reliability challenges.
- Make the platform portable across cloud providers and on-premises customer environments.
- Address enterprise integration requirements, including identity, private networking, certificate-based authentication, and data residency.
- Own observability and incident response, including alerting, on-call, and post-mortems, and prevent recurring incidents.
- Improve developer productivity by making local development, CI, deployments, and production debugging fast and dependable.
- Take ownership of major infrastructure scaling and reliability problems and help set the technical direction for operating Pallet at scale.
Benefits
- Health, vision, and dental benefits.
- Take-what-you-need paid vacation.
- Life insurance and accidental insurance.
- Short-term disability coverage.
- Competitive salary and equity.
- 401(k) option.
- Paid parental leave.
- Yearly learning and development stipend.
- Commuter benefits for Bay Area and New York employees.
- Uber ride stipend for late work at the office.
- Remote-office home stipend for remote employees.
- Free professional headshot.
- Daily catered lunches and dinners in the office.
- Complimentary access to the fully equipped San Francisco office gym.
- Onboarding trip to one of the offices for remote employees, with travel covered.
- Monthly happy hours.
- Annual company offsites.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
