1 день назад
Infrastructure & IT Systems Engineer (AI)
130 000 - 160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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