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Application Security Manager

Job in Durham, Durham County, North Carolina, 27703, USA
Listing for: Corebridge Financial
Full Time position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    Cybersecurity, IT Project Manager, Cloud Computing, Systems Engineer
Job Description & How to Apply Below

3 days ago Be among the first 25 applicants

Application Security Manager Who We Are

At Corebridge Financial, we believe action is everything. That’s why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow.

  • We are stronger as one:
    We collaborate across the enterprise, scale what works and act decisively for our customers and partners.
  • We deliver on commitments:
    We are accountable, empower each other and go above and beyond for our stakeholders.
  • We learn, improve and innovate:
    We get better each day by challenging the status quo and equipping ourselves for the future.
  • We are inclusive:
    We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work.
Who You’ll Work With

The Information Technology organization is the technological foundation of our business and works in collaboration with our partners from across the company. The team drives technology and digital transformation, partners with business leaders to design and execute new strategies through IT and operations services and ensures the necessary IT risk management and security measures are in place and aligned with enterprise architecture standards and principles.

About

The Role

Application Security Manager to lead and evolve our Dev Sec Ops  function. You will oversee a cross‑functional team responsible for embedding security throughout the software development lifecycle (SDLC), integrating AI‑driven tools and practices, and enabling secure‑by‑design development. This role is both strategic and technical, requiring deep expertise in App Sec, Dev Sec Ops  automation, and a forward‑thinking approach to AI adoption in security.

Responsibilities
  • Lead the application security program with a focus on securing CI/CD pipelines, cloud‑native apps, and microservices.
  • Manage a team of Dev Sec Ops  engineers and security champions across development squads.
  • Develop and implement scalable security tooling, static and dynamic code analysis software composition, and Software Bill of Material.
  • Integrate AI and machine learning tools for threat modeling, code analysis, and anomaly detection.
  • Collaborate with development, infrastructure, and product teams to ensure secure architecture and coding practices.
  • Establish App Sec policies, threat modeling frameworks, and secure coding guidelines.
  • Build metrics and reporting to track the effectiveness of App Sec initiatives and risk posture.
  • Evaluate and implement AI‑based App Sec tools and integrations within the Dev Sec Ops  toolchain.
  • Lead incident response and secure code review processes for critical applications.
  • Act as the primary point of contact for application security audits and compliance initiatives.
Skills And Qualifications
  • 7+ years of experience in application security, including 2+ years managing security teams.
  • Strong knowledge of secure coding practices in modern languages (e.g., Python, Java, JavaScript, Go).
  • Experience deploying and managing App Sec tools such as SAST, DAST, SCA, IaC scanners, Application Security Posture Management (ASPM) and secrets detection tools.
  • Hands‑on experience in CI/CD platforms (e.g., Git Hub Actions, Git Lab CI, Jenkins, Azure Dev Ops).
  • Solid understanding of cloud‑native architectures (AWS/GCP/Azure), containers (Docker), and orchestration (Kubernetes).
  • Experience with Infrastructure‑as‑Code (e.g., Terraform, Cloud Formation) and securing Dev Ops pipelines.
  • Familiarity with AI‑driven App Sec tools for vulnerability management, threat detection, and LLM‑assisted secure code review.
  • Experience with LLMs (e.g., OpenAI GPT, Gemini) for code analysis, threat modeling, secure coding guidance or vibe coding.
  • Understanding of prompt engineering, model fine‑tuning, or integrating AI APIs into security workflows.
  • Bonus:
    Experience in AI security (e.g., adversarial ML, model poisoning, AI system threat modeling).
  • Bonus:
    Experience in SAP Security, code review, vulnerability management, and threat monitoring.
  • Bachelor’s degree in a relevant field or proven record of experience in Information Technology and Cyber Security roles.
  • Certificat…
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