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Staff IT Systems Engineer, Endpoints

Lila Sciences · Cambridge, MA USA · Alewife, Cambridge, MA

Bio & Science AIonsiteStaff$140k–$173k
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At a glance

Highlights

  • Own the architecture and roadmap for Lila's endpoint fleet company-wide.
  • Design zero-touch provisioning so devices arrive encrypted and ready to use.
  • Help scientists become productive faster while reducing device risk and toil.

What they offer

  • Comprehensive benefits program tailored to region

Ideal candidate

A staff-level systems thinker who treats endpoint management as software engineering and thrives owning complex fleets end-to-end. You care about seamless scientist experience, secure automation, and leading cross-functional initiatives with mentorship and high standards.

Requirements

  • Deep experience in IT systems engineering, endpoint engineering, infrastructure, or platform engineering, with staff-level technical ownership
  • Strong experience with modern MDM or UEM platforms such as Jamf, Intune, Workspace ONE, or similar
  • Experience managing endpoint configuration through code, automation, version control, staged rollout, or CI/CD practices
  • Strong systems knowledge across macOS and Windows endpoint environments
  • Ability to build and maintain automation using Python, Bash, PowerShell, APIs, or similar tooling
  • Experience using AI-assisted engineering, LLM APIs, internal copilots, or agentic automation to reduce operational toil
  • Experience partnering with Security on endpoint hardening, device trust, vulnerability management, EDR, or Zero Trust initiatives
  • Strong troubleshooting ability across endpoint, identity, network, application, and user-experience boundaries
  • Track record mentoring engineers, setting technical standards, and leading cross-functional technical initiatives
  • Clear written and verbal communication skills with the ability to influence technical decisions across teams

Lab profile

About Lila Sciences

Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.

What they build

  • Autonomous Science Platform
  • AI-designed biologics validated in wet-lab
  • Electro-optic materials and photonic devices

Known for

  • Large-scale automated data generation
  • High-throughput protein purification and analytics
  • Protein design and BioML modeling
  • Robotic orchestration and lab simulation
More about Lila Sciences →
Apply on the lab’s site ↗

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