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2 дня назад

Senior Engineer, DevOps (US) (AI)

110 000 - 150 000$
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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TL;DR
Senior Engineer, DevOps (AI): Designing and operating scalable cloud infrastructure and delivery systems for AI-native digital platforms with an accent on multi-cloud architecture, CI/CD, DevSecOps, and observability. Focus on orchestrating AI-enabled engineering workflows, hardening AI-assisted output, and improving reliability, security, and developer experience.

Location: United States

Salary: $110,000–$150,000 per year

Company

hirify.global is a digital-first creative agency combining creativity and technology to build digital capabilities for global brands and clients across multiple industries.

What you will do

  • Design and maintain highly available cloud infrastructure across AWS, GCP, and Azure.
  • Build and improve CI/CD pipelines from commit through production.
  • Implement DevSecOps practices, including security scanning, secrets management, and compliance controls.
  • Lead infrastructure-as-code practices using Terraform, CloudFormation, and Ansible.
  • Own monitoring, alerting, logging, and tracing across systems.
  • Optimize cloud costs, improve developer experience, and maintain architecture documentation, runbooks, and post-mortems.

Requirements

  • Extensive experience managing AWS, GCP, and/or Azure infrastructure and designing fault-tolerant architectures.
  • Strong proficiency with Terraform, AWS CloudFormation, Ansible, GitHub Actions, Bitbucket Pipelines, or Jenkins.
  • Deep expertise with Docker, Kubernetes, networking, Linux administration, NGINX, Traefik, and load balancers.
  • Hands-on experience with serverless platforms, CDNs, deployment strategies, security tooling, secrets management, and observability platforms.
  • Proficiency in Bash and Python, with experience using Git and managed development platforms.
  • Experience with FinOps, AI-enabled development workflows, multi-step AI or agent-driven orchestration, evaluation frameworks, and hardening AI-assisted output.

Nice to have

  • Experience in an agency, consultancy, or enterprise SaaS organization.
  • AWS, GCP, or Azure cloud certifications.

Culture & Benefits

  • Work within a global network distributed across North America, South America, Europe, and Asia.
  • Collaborate across engineering and creative disciplines on complex client and product challenges.
  • Engage with AI-native software development practices and workflows.
  • Work with a broad portfolio of global brands, startups, and organizations across major industries.

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