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4 часа назад

Senior DevOps Engineer (AI)

225 000 - 260 000$
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

Senior DevOps Engineer (AI): Scaling, securing, and hardening the infrastructure for AI-enabled developer tools with an accent on CI/CD pipelines, IaC, and system reliability. Focus on building resilient distributed systems and developer tooling to support high-velocity AI workloads.

Location: Hybrid in San Francisco (Bay Area), requiring weekly in-person collaboration

Salary: $225,000 – $260,000 + Equity

Company

hirify.global is an R&D company building Gen AI-driven code reviewers to create a symbiotic partnership between humans and algorithms.

What you will do

  • Design and maintain scalable CI/CD pipelines.
  • Develop and manage infrastructure as code using Terraform and Pulumi.
  • Enhance system reliability through monitoring, alerting, and failover strategies.
  • Collaborate with platform and backend teams to resolve performance bottlenecks.
  • Automate environments and create developer tooling to unblock engineering teams.
  • Implement and maintain infrastructure security and compliance practices.

Requirements

  • 5+ years of experience in DevOps, Infrastructure, or SRE roles at fast-paced tech companies.
  • Expert proficiency with Kubernetes, Docker, and CI/CD systems like GitHub Actions and ArgoCD.
  • Deep expertise in AWS/GCP, distributed systems, and IaC tools.
  • Strong knowledge of observability tools such as Grafana, Prometheus, ELK, and Datadog.
  • Experience with secrets management tools like Vault and SSM.
  • Must be based in or able to work hybrid in the Bay Area.

Nice to have

  • Experience supporting production AI or ML workloads.
  • Knowledge of ephemeral environments and preview deployments.
  • Contributions to open-source DevOps projects or internal platform tools.

Culture & Benefits

  • Opportunity to shape a new development paradigm using cutting-edge AI technology.
  • High level of end-to-end project ownership from proposal to production.
  • Collaborative environment with a tight-knit team of researchers and engineers.
  • Investment in professional growth through mentorship and responsibility.
  • Competitive compensation package including equity and benefits.

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