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Infrastructure & IT Systems Engineer

Cellular Intelligence · Boston

onsiteunknown$130,000–$160,000Posted Aug 24, 2026PythonAWSTerraformCloudFormationCDKIAMEC2S3

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About this role

## About Cellular Intelligence Cellular Intelligence is building a universal foundation model for cell signaling to understand, predict, and ultimately control how cells behave—turning biology from trial and error into an engineering discipline. The company is clinical-stage and holds global rights to **STEM-PD**, an investigational **Phase 2-ready** cell therapy for **Parkinson’s disease** with **FDA Fast Track** designation (acquired from Novo Nordisk). Based in **Boston**, Cellular Intelligence has raised **$70M+** from investors including **Khosla Ventures**, **Chan Zuckerberg Initiative**, **Novo Nordisk**, **AMD Ventures**, and others. ### Core Values - **We show up** — fully accountable, all-in, doing whatever it takes. - **We act with urgency** — swift, decisive, proactive. - **We support one another** — collaborative, helpful, empathetic. --- ## Role: Infrastructure & IT Systems Engineer **Location:** Boston, MA (Onsite) **Type:** Full-time **Reports to:** Director of Bioinformatics Cellular Intelligence is seeking a **hands-on Infrastructure & IT Systems Engineer** to own and improve the IT systems and automation that support research and company operations. You’ll start by taking structured ownership of the **AWS environment** within your first **3–6 months**, then grow into broader responsibility for the engineering platform and infrastructure. This is an **AI-first role**. You’ll use automation to reduce repetitive work across IT and infrastructure—especially around **access workflows**, **endpoint management**, **employee IT support**, and **routine service operations**. When automation isn’t enough, you’ll help directly with **access and SSH issues**, **endpoints**, **office systems**, and **laboratory computers**. --- ## Responsibilities ### IT Systems & Automation - Improve IT systems and automation supporting research and company operations. - Simplify fragile processes, eliminate repetitive work, and introduce reliable self-service where useful. - Administer **identity and access management**, email, collaboration, source control, and other **SaaS** platforms with **least-privilege access** and reliable **audit trails**. - Manage device security, inventory, and provisioning for a **Mac and Windows** fleet. - Maintain and improve an **AI-assisted IT support system**: - An internal agent resolves routine requests automatically and escalates the rest. - Keep integrations working with identity, device-management, and SaaS platforms. - Review automated actions and add new automated resolutions as recurring patterns emerge. - Automate account, device, and access provisioning/deprovisioning for reliable onboarding/offboarding. - Support user, access, connectivity, endpoint, office, and laboratory-computer issues when self-service/automation isn’t sufficient. - Document processes for IT migrations, security awareness, equipment requests, and procurement handoffs. ### Infrastructure & Engineering Platform - Operate and improve **AWS**, including networking, IAM, infrastructure as code, reliability, storage, backups, and cost management. - Take full ownership through a structured handoff in your first **3–6 months**. - Support **GPU and Slurm** workloads and shared Linux hosts used by researchers. - Improve reliability of production applications and research services via observability, deployment safety, incident response, and recovery. - Improve engineering productivity by owning **CI/CD**, repository contro

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