Intern, Security & Cloud Engineering

Lila Sciences•Cambridge, MA

About The Position

We are seeking a motivated and curious individual to join our IT & Security team as a Co-op. This role is ideal for someone interested in cloud infrastructure, cybersecurity, and AI tool development. You’ll gain exposure to modern cloud platforms, help strengthen our security posture, and assist in building AI-driven automation to improve IT operations and security workflows. This is a highly collaborative role with opportunities to work across infrastructure, security engineering, and automation initiatives.

Requirements

Currently enrolled in a Computer Science, Information Technology, Cybersecurity, Data Science, or related degree program.
Foundational knowledge of:
Cloud platforms such as AWS, Azure, or GCP.
Networking concepts (IP, DNS, VPN, firewalls).
Cybersecurity fundamentals (authentication, encryption, phishing prevention).
Basic programming or scripting (Python preferred).
Strong problem-solving skills and eagerness to learn new technologies.
Effective communicator and team player with good documentation habits.

Nice To Haves

Experience with cloud-native tools (e.g., Kubernetes, Docker, serverless functions).
Familiarity with infrastructure as code (e.g., Terraform, Pulumi).
Exposure to cybersecurity tools like SIEMs, vulnerability scanners, or EDR platforms.
Knowledge of AI agent frameworks or automation platforms.
Previous internship, co-op, or significant project experience in cloud or security engineering.

Responsibilities

Provide technical support to employees, including troubleshooting hardware, software, and network issues.
Assist with employee onboarding/offboarding, including provisioning laptops, accounts, and security access.
Maintain IT asset inventory and improve documentation for support processes.
Support the deployment and maintenance of cloud services (AWS, GCP, or Azure).
Assist with building and improving infrastructure as code using tools like Terraform or Pulumi.
Help monitor cloud performance, cost optimization, and scaling strategies.
Develop internal AI-powered agents to automate repetitive IT and security workflows.
Monitor and respond to security alerts and assist with incident investigations.
Support vulnerability scanning and remediation processes for systems and cloud environments.
Assist with compliance activities such as access reviews, audits, and policy updates.
Help strengthen endpoint and identity security using tools like Okta, Google Workspace, and EDR solutions.
Participate in cross-functional projects involving cloud migrations, new tool integrations, or security improvements.
Contribute to documentation for cloud environments, security runbooks, and AI agent workflows.