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8 часов назад

Software Engineer (AI Infrastructure)

145 000 - 220 000$
Формат работы
onsite
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
Software Engineer (AI Infrastructure): Building and scaling an AI-native workflow orchestration platform with an accent on Kubernetes, cloud infrastructure, and complex network topologies. Focus on designing reliable infrastructure, optimizing cloud-native runtime and provisioning layers, and troubleshooting distributed services across public and hybrid clouds.

Location: On-site at the New York City office; applicants must be U.S. citizens

Salary: $145,000–$220,000 annually plus equity

Company

hirify.global builds an AI-native workflow orchestration engine for enterprises and public sector agencies.

What you will do

  • Build and maintain scalable, reliable infrastructure for complex AI workflows and network topologies.
  • Design, optimize, and support Kubernetes environments and related DNS, load-balancing, and networking services.
  • Develop infrastructure as code and provisioning systems using tools such as Terraform and Helm.
  • Build and maintain CI/CD pipelines with GitHub Actions, Circle, Argo, and related tools.
  • Implement observability using tools such as Prometheus, Grafana, and Thanos.
  • Support cloud networking across VPCs, API gateways, and multi- or hybrid-cloud environments.

Requirements

  • 5+ years of experience in DevOps, SRE, or platform engineering.
  • 3+ years of software engineering experience with Java, Go, Python, or another programming language.
  • 5+ years of experience with infrastructure as code, including Terraform and Helm.
  • 5+ years of experience designing, maintaining, optimizing, and supporting Kubernetes.
  • 3+ years of experience with public cloud environments such as GCP, AWS, or Azure.
  • Strong knowledge of cloud-native infrastructure, provisioning, runtime, orchestration, application layers, CI/CD, troubleshooting, and observability.

Nice to have

  • Experience with AI/ML tools and products.
  • AWS, GCP, or Azure certifications.

Culture & Benefits

  • Work within a small, dedicated, flat, and collaborative technical team.
  • Collaborate across engineering, research, design, product, and operations.
  • Receive equity in addition to the stated salary.
  • Join an inclusive workplace committed to equal opportunity.

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