About the Role
The DevSecOps Engineer – CI/CD & Application Security focuses on embedding application security and cloud security controls directly into CI/CD pipelines and developer workflows. This role drives shift‑left security by designing, implementing, and operating automated security guardrails across source code, build, and deployment pipelines in cloud-native environments.
Key Responsibilities
- Design, implement, and operate application security controls integrated into CI/CD pipelines, ensuring secure software delivery by default.
- Embed automated AppSec checks across code, dependencies, builds, and deployment workflows aligned with shift‑left principles.
- Define and maintain secure CI/CD reference architectures and patterns for enterprise cloud-native applications.
- Partner with engineering teams to integrate security seamlessly into developer workflows, minimizing friction and manual intervention.
- Develop reusable pipeline templates, policy controls, and automation to scale AppSec and DevSecOps practices across teams.
- Secure pipeline infrastructure and credentials, protecting against build manipulation, secret leakage, and provenance risks.
- Integrate CI/CD security findings with broader application and cloud security monitoring workflows.
- Investigate and respond to application and pipeline‑related security findings, partnering with Security Operations as required.
- Contribute to cloud security posture by aligning pipeline and application controls with cloud security best practices.
- Embed security controls for AI/ML and GenAI workloads within CI/CD pipelines and developer workflows.
- Define and enforce secure usage patterns for LLMs and AI services, including prompt handling, data protection, and model access controls.
- Implement safeguards against AI‑specific threats, including prompt injection, model poisoning, data leakage, and insecure model outputs.
- Integrate AI security scanning and validation into build pipelines, ensuring safe model usage and dependency integrity.
- Collaborate with engineering teams to establish secure‑by‑design AI application architectures.
- Ensure compliance with enterprise Responsible AI policies (data privacy, bias management, model governance).
- Secure AI‑related secrets, tokens, and API access used in pipelines and applications.
- Monitor and respond to security risks introduced by AI/ML components, including third‑party models and APIs.
- Contribute to AI risk governance, auditability, and traceability across the SDLC.
- Stay current on emerging AI security threats, vulnerabilities, and regulatory expectations.
- Author documentation, standards, and training to drive developer adoption of secure CI/CD and AppSec practices.
- Continuously evaluate emerging application security and software supply chain threats and improve controls accordingly.
Required Qualifications
- Bachelor’s degree in Computer Science, Cybersecurity, Engineering, or equivalent experience.
- 3–6 years of experience in DevSecOps, Application Security, or Platform Security roles.
- Strong hands‑on experience securing CI/CD pipelines using GitHub, Jenkins, and Azure DevOps.
- Solid understanding of application security concepts (secure coding, dependency risk, pipeline hardening, secrets management).
- Foundational understanding of AI/ML and Generative AI concepts, including LLMs and model lifecycle.
- Knowledge of AI/ML security risks such as prompt injection, data poisoning, model evasion, and data leakage.
- Experience integrating AI or ML components into applications or pipelines (preferred hands‑on exposure).
- Familiarity with Responsible AI principles and AI governance frameworks.
- Experience implementing shift‑left AppSec controls in modern SDLCs.
- Experience working in cloud environments (Azure, AWS, or GCP).
- Proficiency with scripting or programming languages (Python, Go, Java, etc.).
- Familiarity with containerized build and deployment models.
- Strong understanding of software supply chain security risks.
Preferred Qualifications
- Experience with policy‑as‑code and automated security governance
- Knowledge of Kubernetes, container security, and cloud‑native application architectures
- Experience integrating AppSec signals into enterprise security platforms
Compensation / Benefits Information
(This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $125,000 to $165,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications.
In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please note the following resources.
Benefits
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company‑matched student loan contribution, and financial wellness programs.
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best‑in class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
US Candidates Only: Know Your Rights: Workplace discrimination is illegal (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)
Job ID: 328397Posted On: 2026-05-25Location: Princeton, New Jersey, United States
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