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3 дня назад

Senior DevOps Engineer (AI)

130 000 - 196 500$
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
Senior DevOps Engineer (AI): Building and operating the infrastructure, Kubernetes orchestration, CI/CD, and observability platforms that power LiveRamp’s global data collaboration products with an accent on scalability, security, multi-cloud environments, and reliability. Focus on integrating AI assistants, agentic frameworks, and LLMs into the SDLC, designing reproducible infrastructure with Terraform and Helm, and leading incident response and resilience initiatives.

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

Annual base compensation: $130,000–$196,500

Company

hirify.global builds a data collaboration network for brands, retailers, financial services providers, and healthcare innovators, supporting customer insight and marketing AI capabilities.

What you will do

  • Design, implement, and operate highly available, scalable, and secure infrastructure for core platform and data collaboration products.
  • Enable AI-powered development by integrating AI assistants, agentic frameworks, and LLMs into the SDLC.
  • Own production services end to end, including capacity planning, performance tuning, observability, SLOs, error budgets, and incident response.
  • Architect CI/CD pipelines, release automation, infrastructure-as-code, and deployment strategies for large microservices environments.
  • Partner with engineering, Security, SRE, and Architecture teams on platform standards, migrations, resilience, compliance, and cost optimization.
  • Mentor engineers and improve reliability, security, operational excellence, and incident management practices.

Requirements

  • 5+ years of experience in DevOps, SRE, infrastructure engineering, or a related field operating production systems at scale.
  • Hands-on experience with AWS, GCP, or Azure and cloud-native architecture.
  • Strong expertise with Docker, Kubernetes, multi-tenant clusters, deployments, and runtime troubleshooting.
  • Experience with CI/CD, release automation, infrastructure as code, configuration management, and observability stacks.
  • Programming or scripting experience with Python, Go, Ruby, Bash, or a similar language, plus Linux systems debugging skills.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, with strong cross-team communication and mentoring abilities.

Nice to have

  • Terraform, GCP, AWS, Azure, Jenkins, ArgoCD, Spinnaker, or similar tools.
  • Experience developing and deploying AI agents.

Culture & Benefits

  • Hybrid work environment with offices in multiple United States locations.
  • Collaboration with Security, SRE, Architecture, and product engineering groups.
  • Opportunities to lead technical initiatives, mentor engineers, and shape platform standards.
  • Compensation and benefits package determined by experience, skills, geography, and internal equity.

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