Principal AI Security Automation Engineer

Job TitleInformation Technology Cybersecurity & Platform Engineering Team MemberJob DescriptionAre you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed.

We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve. The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.The Impact you will have in this role:Being a member of IT Cybersecurity & Platform Engineering team, you will help shape the future of AI-powered cyber security at DTCC by building the automation, integrations and workflows that enable vulnerability discovery and remediation at enterprise scale.

Working across Application Security, Vulnerability Operations, Cloud Engineering and Development teams, you will develop intelligent pipelines that ingest, enrich, prioritize and operationalize findings from next-generation AI security tooling. Your work will directly influence DTCC's ability to identify and remediate security risks faster, reduce manual effort, and transform vulnerability management through automation, orchestration and AI-driven decision support.Your Primary Responsibilities:Design and implement automation workflows supporting AI-powered vulnerability discovery and remediation.Develop integrations between AI scanning platforms, security tools and SDLC platforms.Build and maintain findings ingestion, normalization and enrichment pipelines.Integrate AI scanning outputs into ASPM, vulnerability management and developer workflows.Develop automated triage, prioritization and remediation orchestration capabilities.Create dashboards, metrics and reporting capabilities supporting security decision-making.Build APIs and automation services connecting security tooling across the enterprise.Partner with AppSec, Vulnerability Operations and Development teams to operationalize findings.Improve scanning efficiency through workflow optimization and intelligent automation.Support secure deployment and operation of AI-based security capabilities.Contribute to governance, auditability and operational controls for AI-driven security processes.Evaluate emerging AI security technologies and identify opportunities for automation.Qualifications:Minimum of 8 years of related experienceBachelor's degree preferred and/or equivalent experienceTalents Needed for Success:6+ years of software engineering, DevSecOps, Application Security, or security automation experienceStrong hands-on development experience in Python, with the ability to develop production-grade security tooling, automation frameworks, and integrationsExperience designing and operating application security tooling including SAST, DAST, SCA, secrets scanning, ASPM, or vulnerability management platformsExperience integrating security controls into CI/CD pipelines and developer workflowsStrong understanding of secure software development practices, OWASP Top 10, secure coding, threat modelling, and vulnerability remediationExperience developing API integrations using REST APIs, SDKs, and event-driven architecturesExperience working with AI/LLM platforms such as Claude, OpenAI, Bedrock, or similarExperience building automated workflows for vulnerability discovery, triage, prioritization, and remediationExperience with containerized environments using Docker, Kubernetes, and OpenShiftFamiliarity with AWS security services, IAM, Security Hub, GuardDuty, and cloud-native security controlsExperience with CI/CD and SDLC tooling including Git, Bitbucket, Jira, Jenkins, GitHub Actions, Maven, and related platformsUnderstanding of AI security risks including prompt injection, model abuse, AI supply chain security, and agent securityExperience working in Agile delivery environmentsPreferred Qualifications:CISSP, TAISE, OSCP, CSSLP, or similar certificationsExperience with Apiiro, Veracode, SonarQube, Semgrep, Burp Suite, or comparable security platformsExperience implementing policy-as-code or security guardrails within engineering platformsExperience supporting enterprise-scale vulnerability management programsThe salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company.

We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.