Senior DevOps Engineer
About The Position
Join Capgemini’s mature DevOps team to improve the stability, security, and scalability of CI/CD pipelines across hybrid environments. The position focuses on DevSecOps and AI-assisted security, using SAST, SCA, and emerging AI-powered security capabilities to streamline software delivery, improve developer productivity, and strengthen application security throughout the SDLC. The engineer partners with application teams to implement secure delivery practices, remediate vulnerabilities, automate security controls, and use AI-powered tools to accelerate security analysis, vulnerability remediation, and code fixes.
Requirements
- At least 10 years of experience in DevOps, DevSecOps, Application Security, Secure Software Engineering, or a related field.
- Expert knowledge of application security, vulnerability management, security assessments, and software supply chain security, including SAST, SCA, DAST, dependency analysis, and secure coding practices.
- Hands-on experience using AI technologies, including LLMs, MCP servers, AI Skills, AI Agents, and code assistants such as Claude Code, GitHub Copilot, Codex, Antigravity, or similar platforms for security analysis, vulnerability remediation, and developer productivity.
- Experience with application security tools such as SonarQube, Sonatype Nexus IQ, GitHub Advanced Security, HCL AppScan, Prisma, Qualys, or similar platforms.
- Experience developing and implementing secure CI/CD pipelines and automation using GitHub, GitHub Actions, Jenkins, Azure DevOps, GCP Cloud Build, or similar technologies.
- Strong understanding of SDLC, DevSecOps principles, security controls, and modern application security best practices.
- Experience partnering with application development teams to remediate vulnerabilities, implement security controls, and improve overall security posture.
Responsibilities
- Perform advanced application security analysis using AI-assisted security tools, SAST, SCA, dependency analysis, and software supply chain security solutions.
- Partner with application teams to implement secure software delivery practices and embed security throughout the SDLC.
- Develop and automate security controls, policies, quality gates, and remediation workflows within CI/CD pipelines to enable secure and compliant software delivery.
- Use AI-powered tools and coding assistants to identify vulnerabilities, generate remediation recommendations, and accelerate code remediation.
- Analyze and prioritize security findings, working with development teams to reduce risk and improve application security posture.
- Evaluate and implement emerging AI-driven security capabilities and automation solutions to strengthen enterprise security and improve developer productivity.
Benefits
- Paid time off, including vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs.
- Other benefits as provided by local policy and eligibility.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
