Назад
8 часов назад

Backend/Distributed Systems Engineer (AI)

165 000 - 330 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Backend/Distributed Systems Engineer (AI): Building scalable observability, commercialization, billing, internal infrastructure, and AI agent platforms for production AI inference with an accent on distributed systems, telemetry pipelines, and developer productivity. Focus on designing multi-cloud platforms, improving reliability and deployment safety, and defining testing and operational standards across engineering teams.

Location: Hybrid in San Francisco, New York, or Seattle, United States.

Salary: $165K–$330K annually, plus equity.

Company

Baseten provides an AI inference platform, infrastructure, and developer tooling that help AI companies bring machine-learning models into production.

What you will do

  • Design and build scalable telemetry ingestion and storage pipelines for metrics, logs, and traces across multi-cloud infrastructure.
  • Own observability platforms, commercialization and billing systems, partnership integrations, and internal AI agent infrastructure.
  • Develop internal tooling that improves developer velocity, CI/CD, deployment safety, testing, alerting, incident response, and production debugging.
  • Drive platform adoption through self-service developer experience, good defaults, clear documentation, and low-friction workflows.
  • Lead technical design for cross-team projects and make trade-offs between delivery speed, quality, reliability, cost, and maintainability.
  • Partner with infrastructure, model performance, and product teams while contributing through code review, mentorship, and technical writing.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • 5+ years of relevant industry experience focused on scalable backend systems and platforms.
  • Experience building or operating observability systems covering logging, metrics, and tracing, or operating internal infrastructure at scale.
  • Proficiency in Python, Go, Rust, or a similar backend language.
  • Strong understanding of quality and engineering principles, including both the purpose and implementation of engineering decisions.
  • Strong systems-level thinking and understanding of interactions between distributed-system components and data flows.
  • Platform mindset focused on adoption, self-service, internal engineers as customers, and effective defaults.
  • Excellent written and verbal communication skills.

Culture & Benefits

  • Meaningful equity and competitive compensation.
  • For U.S. employees, 100% coverage of medical, dental, and vision insurance for employees and dependents.
  • Flexible PTO and a company-wide Winter Break from Christmas Eve through New Year’s Day.
  • Paid parental leave and a fertility and family-building stipend through Carrot.
  • For U.S. employees, a company-facilitated 401(k).
  • Exposure to ML startups and opportunities for learning and networking.

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