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3 дня назад

Staff Site Reliability Engineer (AI)

210 000 - 235 000$
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

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TL;DR
Staff Site Reliability Engineer (AI): Shaping and operating the cloud platform powering enterprise-scale AI contract management with an accent on reliability, database performance, automation, and resilience. Focus on designing distributed infrastructure, solving complex production incidents, scaling relational and NoSQL systems, and strengthening backup, recovery, and disaster recovery capabilities.

Location: Hybrid in San Francisco, California, United States; office attendance is required at least twice a week on Tuesdays and Thursdays, with additional in-office days possible for team or company events.

Base salary: $210,000–$235,000 annually, plus company bonus and equity opportunities.

Company

hirify.global develops AI-powered contract lifecycle management software using a large enterprise contract dataset.

What you will do

  • Set technical direction for SRE and the cloud platform, partnering across engineering to define reliability, capacity, and platform roadmaps.
  • Identify reliability risks, design solutions, and carry changes through production while reducing recurring failures and operational risk.
  • Make architectural tradeoffs across security, scalability, and performance, and document technical decisions.
  • Operate, tune, and scale relational and NoSQL databases, including monitoring, replication, query performance, and capacity management.
  • Improve automation across build, testing, deployment, monitoring, incident response, backup, recovery, and disaster recovery.
  • Participate in on-call coverage, lead complex production investigations, mentor engineers, review designs and code, and collaborate with product engineering, security, support, and customer-facing teams.

Requirements

  • 8+ years of experience in SRE, DevOps, or infrastructure engineering, including technical leadership for business-critical systems.
  • 5+ years developing and maintaining production software and tools in TypeScript or Python.
  • Deep production experience operating Kubernetes, including troubleshooting scheduling, networking, and resource issues at scale.
  • Deep hands-on experience with GCP, AWS, or Azure.
  • Production experience with both relational and NoSQL databases, such as PostgreSQL, MongoDB, or Redis, including query and index tuning, replication, monitoring, and scaling under load.
  • Hands-on experience with infrastructure as code, CI/CD, and GitOps tooling, such as Terraform or Pulumi, CircleCI, and Argo CD.
  • Strong understanding of distributed systems, cloud storage architecture, backup, and recovery.
  • Experience using AI coding tools with sound judgment about their use and output validation.
  • Strong troubleshooting, written and verbal communication, design documentation, incident writeups, influence leadership, and cross-team collaboration skills.

Nice to have

  • Experience designing or operating multi-region systems.
  • Experience sharding databases or operating databases on Kubernetes.
  • Experience running AI or LLM infrastructure in production.
  • Experience leading large-scale database, cluster, or service migrations with minimal downtime.
  • Experience building and maintaining security in infrastructure and delivery pipelines; FedRAMP experience is a plus.
  • GCP experience is preferred.

Culture & Benefits

  • Full-time US employment with medical, dental, and vision coverage, including dependent coverage options.
  • Gender-neutral parental leave, compassionate leave, family-forming support, and paid time off.
  • Monthly wellbeing and hybrid-work stipends, mental health support, and pre-tax commuter benefits for US employees.
  • 401(k) plan with Fidelity and employer match for US employees.
  • Regular team events and opportunities for professional growth and development.

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