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About the Role
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.
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.
Requirements
- 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.
Skills
- DevSecOps
- Application Security
- Cloud Security
- JFrog Artifactory
- Package Curation
- Promotion Models
- AI/ML
- Generative AI
- LLMs
- Prompt Injection
- Data Poisoning
- Model Evasion
- Data Leakage
- Responsible AI
- AI Governance
- Waiver and Approval Workflows
- Dependency Risk Management
- GitHub
- Jenkins
- Azure DevOps
- Azure
- AWS
- GCP
- Python
- Groovy
- Terraform
- SDLC
Location
- London, United Kingdom
Work Type
- Full-time
Experience Level
- 3-6 years
Salary/Compensations
- $125,000 to $165,000
Benefits
- Annual incentive plan
- Health care coverage designed for the mind and body.
- Generous time off
- Access to resources for career growth and learning new skills.
- Competitive pay
- Retirement planning
- Continuing education program with a company-matched student loan contribution
- Financial wellness programs
- Family perks
- Retail discounts
- Referral incentive awards
About the Company
- 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.
Equal Opportunity
- 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.