AI-Driven Enterprise Web Services Co-op

MIT Lincoln Laboratory

Lexington (MA)

On-site

USD 34,000 - 44,000

Full time

7 days ago
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Job summary

MIT Lincoln Laboratory's Enterprise Collaboration, AI, and Web Services (ECAWS) team invites a Fall 2026 co-op to help design and develop web interfaces and APIs for enterprise applications. You will work under a mentor to support updates, testing, and documentation across the software life cycle.

As part of ECAWS, you will gain hands-on experience with Drupal, Atlassian tools, Linux/Apache, and cloud technologies (AWS/Azure) while contributing to knowledge base maintenance and security

Qualifications

  • Pursuing a bachelor’s degree in CS/SE/Data Science or related field.
  • Interest in AI-enabled applications, web development, and integration.
  • Ability to collaborate in a structured, mission-driven team.
  • Audit systems for security vulnerabilities and harden systems.

Responsibilities

  • Assist in managing Drupal content and modules and upgrade application software.
  • Assist with Atlassian tools (Jira, Confluence) and related add-ons.
  • Meet standards for accuracy, thoroughness, and correctness in all work.
  • Understand Linux and Apache; exposure to cloud technologies (AWS/Azure).
  • Understand the LAMP stack and its implementation would be desirable.
  • Update and organize knowledge base articles.

Skills

AI-enabled applications
Web development
Application integration
Team collaboration

Education

Bachelor’s degree in Computer Science / Software Engineering / Data Science (related field)

Tools

Drupal
Jira
Confluence
AWS
Azure
MySQL

Job description

MIT Lincoln Laboratory's Enterprise Collaboration, AI, and Web Services (ECAWS) team invites a Fall 2026 co-op to help design and develop web interfaces and APIs for enterprise applications. You will work under a mentor to support updates, testing, and documentation across the software life cycle.

As part of ECAWS, you will gain hands-on experience with Drupal, Atlassian tools, Linux/Apache, and cloud technologies (AWS/Azure) while contributing to knowledge base maintenance and security

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