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Cellular Intelligence

AI-powered platform for cellular signaling modeling

Infrastructure Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeBoston, MA, USA$130k - $160k /yr

About the Job

Requirements

  • At least 3 years of experience independently operating production cloud infrastructure, preferably on AWS, with hands-on responsibility for reliability and security.
  • Practical knowledge of identity and access management, EC2, S3, and VPC networking.
  • Experience managing infrastructure as code using Terraform, CloudFormation, CDK, or similar tools, with changes shipped through code review.
  • Hands-on experience with access controls, secrets management, security logging, vulnerability remediation, and incident response.
  • Strong Linux troubleshooting skills, including permissions, SSH, services, storage, and diagnosis from logs.
  • Ability to build and maintain Python tools and integrations used by others.
  • Experience operating CI/CD pipelines and managing repository permissions and controls.
  • A record of reducing operational work through automation and willingness to use AI tools with sound judgment.
  • Clear written communication and the ability to support scientists and other colleagues who are not infrastructure specialists.

Responsibilities

  • Operate and improve the AWS environment, including networking, identity and access management, storage, infrastructure as code, monitoring, backups, and cost management.
  • Configure, maintain, and improve the Slurm cluster and shared Linux hosts used for research and model training.
  • Define, implement, and operate storage policies covering data placement, access, retention, archival, and deletion across AWS and shared research storage, in partnership with researchers and the CISO.
  • Help researchers resolve access, SSH, storage, and job execution problems, and automate recurring fixes.
  • Test recovery procedures and improve reliability based on operational experience.
  • Keep internal web applications reliable through monitoring, safe deployments, backups, and incident response.
  • Own CI/CD infrastructure, GitHub repository controls, and the deployment and operation of internal web applications.
  • Write and maintain Python tools to automate infrastructure tasks and help researchers use shared compute systems.
  • Automate recurring infrastructure and security work, including resource provisioning, deployments, access management, cost reporting, and audit evidence collection.
  • Write clear runbooks and system documentation so others can operate services and resolve common problems.
  • Own technical security controls across AWS, research compute, internal web applications, and source code, reviewing plans and risks with the CISO.
  • Manage least-privilege access, short-lived credentials, multifactor authentication, and secrets management.
  • Run vulnerability scanning across cloud resources, containers, code, and dependencies; prioritize findings and coordinate remediation with the responsible engineers.
  • Maintain actionable security logging and alerts, investigate suspicious activity, and lead technical incident response with the CISO and relevant system owners.
  • Build security checks and safe defaults into CI/CD and infrastructure as code.
  • Implement encryption, retention, and data-handling controls defined with the CISO and relevant data owners.
  • Assess the technical security of new tools, vendors, and AI agents, including their access to company systems and data.
  • Coordinate external penetration tests with the CISO and drive remediation of infrastructure findings.
  • Operate technical controls supporting GDPR obligations and the SOC 2 program, and maintain evidence that those controls are working.
  • Partner with the CISO and IT on access reviews, audit evidence, and security questionnaires.
  • Surface risks, operational bottlenecks, and resource needs clearly, and help prioritize improvements.

Desired Qualifications

  • Experience with Slurm or other batch compute systems, particularly for GPU training workloads.
  • Experience building reliable large language model automation, including agent workflows, reusable skills, or MCP servers.
  • Experience securing AI tools or agents that can access company systems and data.
  • Experience implementing technical controls and collecting evidence for SOC 2, GDPR, ISO 27001, or comparable programs.
  • Experience managing substantial cloud compute and storage costs.
  • Experience working in a startup or interdisciplinary research environment.

About the Company

Cellular Intelligence

AI-powered platform for cellular signaling modeling

Cellular Intelligence builds a universal virtual cell-signaling model to understand and control how cells behave. Its capsule platform generates dynamic cellular data much more efficiently than traditional methods and uses that data to train large predictive models. By testing millions of signal combinations on pluripotent stem cells in parallel, it aims to map how to direct differentiation, model disease, predict drug responses, and design regenerative therapies. The company targets the biotech and life sciences field with programs beyond stem cells, striving to turn biology into an engineerable discipline for faster drug discovery and disease understanding.

Company size
51-200
Company stage
Seed
Total funding
$5.3M
Headquarters
Boston, MA
Founded
2023

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