Intern, DevOps Engineering, Product Operations

Your Impact at Lila

The DevOps Engineering Intern will support the Product Operations team in building and maintaining infrastructure and delivery platforms. Working alongside experienced engineers, the intern will gain hands-on experience with cloud infrastructure, Kubernetes, CI/CD pipelines, and infrastructure-as-code in a fast-paced scientific computing environment. This is an opportunity to learn modern DevOps and platform engineering practices while contributing to systems that power automated scientific analysis, experiment orchestration, and ML pipelines.

What You'll Be Building

• Assist with maintaining and improving Kubernetes-based infrastructure supporting scientific services and platform workloads.
• Help build and maintain CI/CD pipelines using GitHub Actions, including container image builds and automated testing.
• Write and update infrastructure-as-code using Terraform and Helm charts under the guidance of senior engineers.
• Support AWS cloud infrastructure tasks across services such as EKS, IAM, S3, ECR, and VPC networking.
• Contribute to automation scripts and tooling in Python or Bash to improve infrastructure operations.
• Assist with monitoring, logging, and observability tooling to help maintain system reliability.
• Participate in incident response and troubleshooting exercises to develop operational skills.
• Document processes, runbooks, and infrastructure decisions.

What You’ll Need to Succeed

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related field.
• Foundational knowledge of Linux systems and command-line/Bash scripting.
• Basic understanding of Python programming for scripting and automation.
• Familiarity with version control using Git and GitHub workflows.
• Exposure to cloud computing concepts (AWS preferred) through coursework or personal projects.
• Basic understanding of containers (Docker) and container orchestration concepts.
• Eagerness to learn modern DevOps practices including CI/CD, infrastructure-as-code, and Kubernetes.
• Strong problem-solving skills and a collaborative, team-first attitude.
• Good written and verbal communication skills.

Bonus Points For

• Hands-on experience with AWS services (EC2, S3, IAM, EKS) through labs, coursework, or personal projects.
• Familiarity with Terraform, Helm, or other infrastructure-as-code tools.
• Exposure to Kubernetes (Minikube, Kind, or managed clusters).
• Experience with CI/CD tools such as GitHub Actions or GitLab CI.
• Interest in or coursework related to site reliability engineering, security, or platform engineering.
• Familiarity with GitOps concepts or tools (ArgoCD, Flux).
• Contributions to open-source projects or relevant personal/academic projects.

About Lila

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.

We’re All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.

A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.