AI-Driven DevSecOps AVP Engineer

United States Digital Space LLC

Singapore

On-site

SGD 140,000 - 220,000

Full time

14 days+

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Benefits offered by this job

Competitive base salary

Flexible benefits

Learning & development

Wellbeing programs

Job summary

United States Digital Space LLC is seeking a seasoned DevOps Engineer to lead administration of the DevSecOps toolchain, integrating AI-driven capabilities to enhance security scanning, anomaly detection and code quality across CI/CD pipelines.

The role requires 10+ years in DevOps, strong security tooling knowledge, and extensive experience with Jenkins, SonarQube, BlackduckHub, Coverity, and Contrast on cloud platforms, with a focus on automation and compliance.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Minimum 10 years of hands-on experience in DevOps engineering and tool administration.
Strong knowledge of SAST, SCA, DAST and IAST methodologies.
Strong understanding of application security principles and secure software development practices.
Leverage AI-driven capabilities to optimize CI/CD pipelines, improve deployment reliability and accelerate software delivery through intelligent automation.
Utilize AI-powered monitoring and analytics solutions for anomaly detection, predictive issue identification and proactive incident management across DevOps platforms.
Implement AI-assisted security and code quality practices, including vulnerability prioritization, risk assessment and automated recommendations to enhance DevSecOps outcomes.
Proven expertise in: BlackduckHub, Coverity and Contrast; Jira, Bitbucket, Confluence; Nexus Repository Manager; Jenkins CI/CD; SonarQube.
Proven experience in managing upgrades and ensuring secure, compliant tool versions.
Strong understanding of CI/CD pipelines, infrastructure as code, and automation.
Excellent troubleshooting, documentation, and communication skills.
Experience with Linux/Unix systems and scripting (Shell, Python, Groovy, etc.)
Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP) would be an advantage.

Responsibilities

Tool Administration & Maintenance: Administer and maintain all DevSecOps tools including Blackduck Hub, Coverity, Contrast, Jenkins and SonarQube; ensure high availability and reliability.
Upgrades & Patch Management: Plan and execute regular upgrades and patches for all tools and underlying infrastructure; ensure non-vulnerable versions.
Compliance & Security: Monitor and enforce compliance with bank policies and industry standards; implement security best practices across tools; ensure audit readiness.
Automation & Optimization: Develop and maintain automation scripts for tool configuration, deployment, and monitoring; optimize workflows to improve productivity.
Monitoring & Troubleshooting: Set up proactive monitoring and alerting for tool health; troubleshoot issues related to tool integration, performance, and access.
AI Integration and Implementation: Identify and implement AI-driven capabilities within DevSecOps tools to enhance security scanning, anomaly detection and code quality analysis.
Documentation & Knowledge Sharing: Maintain comprehensive documentation for tool configurations, upgrade procedures, and compliance checks; conduct training sessions.