Software Engineering & AI Intern

LeidosOdenton, MD
Hybrid

About The Position

Leidos is seeking motivated software engineering students for its Summer 2027 Internship Program. Interns will join the Digital Sector on the Global Solutions Management – Operations II (GSM-O II) contract, which involves the Defense Information System Network (DISN) operations and maintenance for the Defense Information Systems Agency (DISA). This role is primarily remote, with mandatory periodic on-site requirements at Scott AFB, IL or Ft. Meade, MD. The intern will contribute to building intelligent systems at mission-critical scale, working with high-volume data, engineering real-time pipelines using technologies like Kafka and Elastic, and applying predictive machine learning and generative AI for network problem detection and self-healing networks. The internship offers hands-on experience with AWS, Databricks, Watson AIOps, and cybersecurity automation, aiming to accelerate career development.

Requirements

  • Must be a U.S. citizen.
  • Ability to obtain an interim Secret DoD Security clearance prior to your start date is required.
  • Currently pursuing a degree in a relevant discipline such as Computer Science, Software Engineering, or Data Science.
  • Software development experience with Python, Java, and SQL.
  • Working knowledge of HTML and JavaScript.
  • Experience with distributed version control software such as Git and Bitbucket.
  • Experience developing software on a UNIX command line platform.
  • Strong communication skills that enable proactive and effective collaboration with a virtual team.
  • Candidates must have reliable transportation and the capability to report on-site to their designated facility within a reasonable timeframe when requested by management.

Nice To Haves

  • Obtaining a CompTIA Security+ certification (or equivalent DoD 8570 IAT II certification) before the start date is strongly encouraged.
  • Full software lifecycle experience (design, development, test, deployment), especially in a containerized environment (Kubernetes/Docker).
  • Familiarity with Web development using UI frameworks like React.
  • Familiarity with Designing and building DevOps pipelines with tools like Bitbucket, Jenkins, and Ansible.
  • Familiarity with developing software in a cloud environment (AWS is a plus).
  • Familiarity with Atlassian tools, including JIRA and Confluence.
  • Familiarity with Artificial Intelligence (AI) tools and concepts (large language models, predictive analytics) to support the development of self-healing and auto-ticketing capabilities.

Responsibilities

  • Design, develop, document, test, and deploy software written in Python, JavaScript, Java, and SQL.
  • Create Kibana visualizations and dashboards to provide information to users and support staff.
  • Develop Kafka system integrations between Elasticsearch/Logstash and other systems, such as Databricks.
  • Develop and apply AI/ML and automation capabilities.
  • Assist with the deployment, configuration, testing, troubleshooting, maintenance, updates/upgrades of Kafka and Elastic clusters and environments.
  • Develop automated tests using Ansible, Selenium, JMeter, Junit and/or other applicable tools.
  • Develop automated CI/CD build/deployment pipelines using Jenkins, Artifactory, Kubernetes, Docker, Ansible, and Bitbucket.
  • Work with an Agile team, attend daily scrums, and demonstrate working software while collaborating with a geographically distributed (remote) team.
  • Troubleshoot and resolve installation, infrastructure, and system issues.
  • Proactively and independently identify, report, monitor, and mitigate technical risks.
  • Frequently communicate and collaborate with other team members to ensure successful completion of project objectives.

Benefits

  • The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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