At a Glance
- Tasks: Design and secure enterprise artifact repositories for cloud and hybrid environments.
- Company: Join a leading tech firm focused on innovative security solutions.
- Benefits: Enjoy competitive pay, health coverage, flexible time off, and continuous learning opportunities.
- Other info: Dynamic work environment with excellent career growth and family-friendly perks.
- Why this job: Make a real impact in AI security while working with cutting-edge technologies.
- Qualifications: Bachelor's degree and 3-6 years in DevSecOps or software supply chain security required.
The predicted salary is between 100000 - 130000 £ per year.
Key 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.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Cybersecurity, or equivalent experience.
- 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.
DevSecOps Architect – Artifact Management & Software Supply Chain Security employer: S&P Global
S&P Global is an exceptional employer that prioritises employee well-being and professional growth, offering a dynamic work culture in Princeton, New Jersey. With generous health benefits, flexible time off, and continuous learning opportunities, employees are empowered to thrive both personally and professionally. The company fosters a collaborative environment where innovation in DevSecOps and AI security is at the forefront, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land DevSecOps Architect – Artifact Management & Software Supply Chain Security
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to DevSecOps and AI/ML. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to DevSecOps. Think about how you’d tackle security challenges in software supply chains and be ready to share your insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace DevSecOps Architect – Artifact Management & Software Supply Chain Security
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with DevSecOps and software supply chain security. We want to see how your skills align with the key responsibilities listed in the job description.
Showcase Relevant Experience:When detailing your past roles, focus on your hands-on experience with tools like JFrog Artifactory, GitHub, Jenkins, and Azure DevOps. We love seeing specific examples of how you've implemented security controls or managed artifact repositories.
Highlight Your AI Knowledge:Since this role involves AI/ML components, make sure to mention any relevant experience you have with AI security risks and governance frameworks. We’re keen to know how you’ve integrated AI into your projects!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at S&P Global
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially JFrog Artifactory, CI/CD tools like GitHub, Jenkins, and Azure DevOps. Brush up on your knowledge of AI/ML concepts and security risks, as these will likely come up during the interview.
✨Showcase Your Experience
Prepare to discuss specific projects where you've designed or implemented artifact management solutions. Be ready to explain how you’ve enforced security policies and managed dependencies in previous roles. Real-world examples will help demonstrate your expertise.
✨Understand the Company’s Needs
Research the company’s approach to software supply chain security and their current challenges. Tailor your answers to show how your skills can directly address their needs, particularly in areas like risk management and compliance with Responsible AI principles.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current security practices, team dynamics, or future projects related to AI security. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
