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1 день назад

Infrastructure & IT Systems Engineer (AI)

130 000 - 160 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Infrastructure & IT Systems Engineer (AI): Owning and improving internal IT systems, AWS infrastructure, research compute, CI/CD, and production services with an accent on AI-assisted automation, endpoint management, identity and access, and compliance controls. Focus on eliminating recurring operational work, operating GPU and Slurm workloads, strengthening infrastructure reliability, and maintaining GDPR and SOC 2 controls.

Location: Boston, MA; onsite; full-time

Salary: $130K–$160K annually

Company

hirify.global is a clinical-stage AI company building a foundation model for cell signaling and developing cell therapy for Parkinson’s disease.

What you will do

  • Own and improve internal IT systems, SaaS administration, identity and access workflows, endpoint management, and employee support.
  • Build AI-assisted automation and self-service for onboarding, offboarding, access requests, troubleshooting, and recurring operational work.
  • Operate the AWS environment, including networking, IAM, infrastructure as code, reliability, storage, backups, and cost management, taking full ownership after a three-to-six-month handoff.
  • Support GPU and Slurm research workloads, shared Linux hosts, production applications, and research services.
  • Improve CI/CD, repository controls, observability, deployment safety, incident response, and recovery.
  • Maintain GDPR and SOC 2 controls, including access reviews, audit evidence, encryption, backups, data retention, and incident response.

Requirements

  • 3+ years of experience owning internal IT systems, including identity and access, SaaS administration, endpoint management, automation, and user support.
  • Demonstrated use of AI and LLM tooling to eliminate or automate operational work.
  • Experience securing endpoints with MDM, EDR, or comparable fleet-management tools.
  • Practical scripting and automation skills; Python experience is preferred.
  • Linux fluency with SSH, permissions, services, and log-based diagnosis, plus working knowledge of AWS IAM, EC2, and S3.
  • Clear written communication for runbooks, policies, and documentation used by scientists and non-specialists.

Nice to have

  • Deeper AWS experience, including VPC networking and infrastructure as code with CloudFormation, CDK, or Terraform.
  • Experience building production services or internal automation in Python, including LLM agents, reusable skills, or MCP servers.
  • Experience with Google Workspace, Slack, GitHub, identity or SSO platforms, Slurm, GPU batch computing, or cloud cost management.
  • Technical ownership of GDPR, SOC 2, ISO 27001, GxP, or comparable compliance programs.
  • Startup or fast-paced interdisciplinary experience.

Culture & Benefits

  • Owner-operator role focused on eliminating routine work rather than processing tickets.
  • Direct collaboration with research teams and company operations.
  • Core values include accountability, urgency, collaboration, helpfulness, and empathy.
  • Opportunity to broaden ownership from internal systems into engineering platform and infrastructure.

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