DevSecOps Engineering Intern
Job Title: DevSecOps Engineering InternClearance Required: NoneWork Location: Tysons Corner, VAThe DevSecOps Engineering Intern will support the development and maintenance of secure, AI-driven application development pipelines within Alpha Omega's Continuum AF Secure track.This role focuses on integrating security-by-design practices and AI-powered automation into application stacks used for federal government solutions.The intern will collaborate with the internal engineering team to support AIOps-driven security automation, AI-assisted vulnerability detection, intelligent compliance monitoring, and compliance-aligned development practices. This internship provides hands-on experience with secure software development, AI-augmented DevSecOps pipelines, AI coding assistants, AI-driven threat modeling, and federal security frameworks such as NIST 800-53, FedRAMP, and the NIST AI Risk Management Framework (AI RMF).This role also helps strengthen Alpha Omega's ability to maintain a production-ready, AI-enhanced secure stack used for technical proposal demonstrations, client solutions, and rapid prototype development.Key ResponsibilitiesSupport development and enhancement of AI-augmented DevSecOps pipelines within the Continuum AF Secure trackAssist with integration of AI-assisted SAST/DAST tools (e.g., GitHub Copilot Autofix, Semgrep with LLM triage, Snyk AI, SonarQube AI) into internal development pipelinesLeverage AI coding assistants (e.g., GitHub Copilot, Amazon CodeWhisperer, Tabnine) to accelerate secure code generation while validating AI-generated code for security complianceSupport AIOps initiatives including AI-driven log analysis, anomaly detection, automated incident response, and intelligent alerting within CI/CD environmentsAssist in developing and fine-tuning AI/ML models for automated vulnerability classification, threat prioritization, and security pattern recognitionEvaluate and implement AI-powered security scanning tools that use machine learning to reduce false positives and improve detection accuracyContribute to development of secure application stack components used for demonstrations, prototypes, and proposal supportHelp document NIST 800-53, FedRAMP, and NIST AI RMF-aligned security control implementation patterns for internal reuse across engagementsSupport AI security governance by helping assess risks associated with AI/ML model deployment, including adversarial attack surfaces, data poisoning, and model integritySupport automation efforts to reduce manual security review processes through AI-driven pipeline enhancements and intelligent workflow orchestrationAssist with AI-powered vulnerability detection, triage, and remediation efforts using LLM-based analysisCollaborate with engineering teams to maintain secure coding practices, AI-safe development standards, and compliance-ready infrastructure patternsParticipate in technical discussions related to secure SDLC, compliance automation, cloud security, and responsible AI integration in federal environmentsRequired QualificationsRequired Experience/SkillsTechnical SkillsProficiency in at least one backend language such as:PythonJavaScriptJavaFamiliarity with frontend frameworks (React preferred)Foundational knowledge of secure coding practices and OWASP Top 10Understanding of static and dynamic application security testing (SAST/DAST)Experience using AI coding assistants (e.g., GitHub Copilot, Cursor, Amazon CodeWhisperer) for code generation, debugging, and refactoringBasic understanding of prompt engineering for security-focused AI tools and LLM-based code analysisTechnical ExposureBasic experience with cloud platforms (AWS or Azure preferred)Familiarity with containerization tools such as Docker or KubernetesExposure to AI/ML or LLM-based tools used for automation /coding/operationsAI & AIOps ExposureFamiliarity with AI/ML concepts including supervised/unsupervised learning, NLP, and LLM architectures as they apply to security automationExposure to AIOps platforms or concepts such as AI-driven monitoring, intelligent alerting, predictive analytics for infrastructure, and automated remediationUnderstanding of AI security risks including prompt injection, model evasion, data poisoning, and adversarial machine learningExperience or coursework involving AI-powered coding/security toolsFamiliarity with LLM-based code review and vulnerability analysis workflowsCompliance & Security KnowledgeFamiliarity with federal security frameworks such as:NIST 800-53FedRAMPFISMAAcademic or project-based experience is acceptable.During the InternshipWork alongside senior security engineers and certified professionals (CISSP/CISM level)Gain exposure to federal Authorization to Operate (ATO) processesBuild hands-on experience with DevSecOps pipelines and security automation toolsDevelop a portfolio of secure government-grade engineering workLearn best practices for secure software development lifecycle (SDLC) in federal environmentsExpected OutcomesBy the end of the internship, the candidate will have:Contributed to AI-assisted SAST integration within the secure pipelineHelped document two NIST 800-53 / FedRAMP-aligned security implementation patternsSupported automation improvements that reduce manual security review overhead by approximately 10–15%Future OpportunitiesSecure Full Stack DeveloperCompliance Automation EngineerPreferred QualificationsEducationCurrently pursuing or recently completed a Bachelor's or Master's degree in:Computer ScienceSoftware EngineeringHuman-Centered DesignInformation Technologyor a related technical fieldAlpha Omega Integration, LLC (Alpha Omega) is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.Equal Opportunity Employer/Protected Veterans/Individuals with DisabilitiesJ-18808-Ljbffr