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2 часа назад

Sr. DevOps Engineer (AI)

175 000 - 195 000$
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

Текст:
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TL;DR
Sr. DevOps Engineer (AI) (Azure/AWS/Kubernetes): Design and operate multi-tenant cloud infrastructure, infrastructure-as-code, CI/CD pipelines, and security architecture for a scalable public-sector SaaS platform with an accent on high availability, disaster recovery, compliance, and operational excellence. Focus on running Kubernetes at scale, optimizing cloud performance and costs, building observability and incident-response practices, and developing AI-forward infrastructure.

Location: On-site in Boston, Massachusetts, United States

Salary: $175,000–$195,000 per year, including base salary and a portion of performance-based variable compensation

Company

hirify.global provides AI and ERP solutions for local and state governments through a multi-tenant public-sector SaaS platform used by more than 2,000 organizations.

What you will do

  • Architect and own multi-tenant Azure and AWS infrastructure for high availability, fault tolerance, and disaster recovery.
  • Lead the infrastructure-as-code strategy across environments using Terraform, CloudFormation, Pulumi, or Crossplane.
  • Design and improve CI/CD pipelines with GitHub Actions, Jenkins, CircleCI, or equivalent tools.
  • Drive cloud cost optimization, performance engineering, observability, and operational reliability.
  • Own cloud infrastructure security and partner with compliance teams on SOC2 and StateRamp requirements.
  • Lead incident response and post-mortems, advise engineering, product, and security teams, and mentor junior engineers.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • 8+ years of software engineering experience focused on cloud infrastructure, DevOps, and platform engineering.
  • 3+ years operating Kubernetes at scale in production on public cloud environments, preferably Azure.
  • Experience designing and managing AWS, Azure, or GCP infrastructure for SaaS applications, including managed Kubernetes, databases, networking, and RBAC.
  • Production expertise with infrastructure-as-code, CI/CD, cloud security, encryption, IAM/RBAC, and network security architecture.
  • Proficiency in Python, Go, Java, or Ruby, plus experience with AI-driven developer tooling, GitOps frameworks, and regulated environments.

Culture & Benefits

  • Mission-driven work focused on improving public services and government accountability.
  • Fast-paced, performance-oriented environment with opportunities to innovate using AI.
  • Healthcare options, flexible vacation, paid company holidays, paid parental leave, wellness stipends, and HSA contributions.
  • 401(k) with company match and professional development opportunities.
  • Collaborative office environment with weekly catered lunches.

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