Associate Director - Application Security
S&P Global
A complete application in a minute — tailored resume and cover letter, ready to send.
Benefits offered by this job
Job summary
S&P Global in London is seeking a DevSecOps Engineer to secure and govern artifact management across CI/CD pipelines and cloud environments. You will implement secure-by-design patterns, integrate Artifactory with GitHub, Jenkins, and Azure DevOps, and enforce AI/ML security controls in pipelines.
We value hands-on expertise in platform security, dependency risk management, and modern SDLC practices, with a focus on secure artifact lifecycle, provenance, and compliance.
Qualifications
- 3–6 years of experience in DevSecOps, platform security, or software supply chain security.
- Strong hands‑on experience with JFrog Artifactory, including deployment and enterprise architecture.
- Experience designing package curation and promotion models.
- 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 waiver and approval workflows for dependencies and artifacts.
- Strong understanding of application security principles and dependency risk management.
- Hands‑on experience integrating repositories with GitHub, Jenkins, and Azure DevOps pipelines.
- Experience working in cloud environments (Azure preferred; AWS/GCP acceptable).
- Proficiency with automation and scripting (Python, Groovy, Terraform, etc.).
- Knowledge of modern SDLC and DevSecOps operating models.
Responsibilities
- Design, deploy, and operate enterprise artifact repository platforms supporting cloud and hybrid environments.
- Define and enforce package curation, promotion, and trust models aligned with application security and compliance requirements.
- Implement and govern waiver and approval workflows for dependency and artifact usage, ensuring risk-based decision‑making.
- Partner with AppSec, platform, and engineering teams to standardize secure dependency and artifact consumption patterns.
- Define and maintain repository architectures supporting multiple environments, teams, and trust boundaries.
- Enforce policies ensuring artifact immutability, provenance, versioning, and trusted sourcing.
- Integrate artifact repositories into CI/CD pipelines built on GitHub, Jenkins, and Azure DevOps.
- 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.
- Align artifact and dependency controls with cloud security best practices for deployed applications.
- Monitor usage, risk posture, and effectiveness of artifact controls and drive continuous improvement.
- Develop automation and policy‑as‑code for artifact lifecycle management, approvals, and governance.
- Support security incident investigations related to software supply chain integrity or dependency risk.
- Create documentation, standards, and enablement materials for secure developer adoption.
Skills
Education
Tools
Job description
Advancing Essential Intelligence.
The DevSecOps Engineer – Artifact Management & Software Supply Chain Security focuses on securing and governing enterprise artifact and dependency management platforms. This role combines DevSecOps, application security, and cloud security to ensure that build artifacts and dependencies are trusted, curated, and consumed securely across CI/CD pipelines and cloud environments.
12
- Design, deploy, and operate enterprise artifact repository platforms supporting cloud and hybrid environments.
- Define and enforce package curation, promotion, and trust models aligned with application security and compliance requirements.
- Implement and govern waiver and approval workflows for dependency and artifact usage, ensuring risk-based decision‑making.
- Partner with AppSec, platform, and engineering teams to standardize secure dependency and artifact consumption patterns.
- Define and maintain repository architectures supporting multiple environments, teams, and trust boundaries.
- Enforce policies ensuring artifact immutability, provenance, versioning, and trusted sourcing.
- Integrate artifact repositories into CI/CD pipelines built on GitHub, Jenkins, and Azure DevOps.
- 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.
- Align artifact and dependency controls with cloud security best practices for deployed applications.
- Monitor usage, risk posture, and effectiveness of artifact controls and drive continuous improvement.
- Develop automation and policy‑as‑code for artifact lifecycle management, approvals, and governance.
- Support security incident investigations related to software supply chain integrity or dependency risk.
- Create documentation, standards, and enablement materials for secure developer adoption.
- 3–6 years of experience in DevSecOps, platform security, or software supply chain security.
- Strong hands‑on experience with JFrog Artifactory, including deployment and enterprise architecture.
- Experience designing package curation and promotion models.
- 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 waiver and approval workflows for dependencies and artifacts.
- Strong understanding of application security principles and dependency risk management.
- Hands‑on experience integrating repositories with GitHub, Jenkins, and Azure DevOps pipelines.
- Experience working in cloud environments (Azure preferred; AWS/GCP acceptable).
- Proficiency with automation and scripting (Python, Groovy, Terraform, etc.).
- Knowledge of modern SDLC and DevSecOps operating models.
(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 click here.
Advancing Essential Intelligence.
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
- 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
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre‑employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
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.
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.
Know Your Rights: Workplace discrimination is illegal
103 - Middle Management (EEO Job Group) (inactive), 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group)
328396
2026-09-11
London, United Kingdom
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
