DevSecOps Engineer: AI-Driven CI/CD & Cloud Automation

SGS Consulting; Philadelphia (Philadelphia County); Sur place; USD 120 000 - 150 000; Plein temps

Résumé du poste

SGS Consulting in the United States is seeking a DevSecOps Engineer to maintain and enhance enterprise tools (GitLab, JIRA, Nexus) and to implement IaC and GitOps workflows. You will transform legacy services into automated infrastructure and integrate AI/ML capabilities into code review and incident triage.

Collaborate with development, operations, and security teams to standardize processes, mentor staff, and contribute to governance and strategy.

Qualifications

• Bachelor's degree in a related field.
• Experience with DevSecOps and automation.
• Proficient in IaC and scripting for automation.
• Strong troubleshooting and collaboration skills.

Responsabilités

• Maintain and enhance DevSecOps tools (GitLab, JIRA, Nexus).
• Automate deployments, updates, and maintenance using IaC and GitOps.
• Administer and configure JIRA per enterprise standards.
• Develop CI/CD pipelines with GitLab/Jenkins; optimize pipelines.
• Modernize legacy services into automated, code-driven infra designs.
• Integrate AI/ML for automated code review, alerting, and triage.
• Implement real-time monitoring and SRE best practices.
• Use observability platforms to boost incident response and analytics.
• Collaborate with teams to standardize processes and tools.
• Mentor staff and promote DevSecOps automation approaches.
• Contribute to enterprise DevSecOps standards and strategy.

Connaissances

Infrastructure as Code

CI/CD pipelines

APIs via Shell/Python

AWS fundamentals

SDLC & Agile

DevSecOps

Formation

Bachelor's degree

Outils

GitLab

Jenkins

Nexus

Dynatrace

Datadog

Splunk ITSI

JIRA

Description du poste

SGS Consulting in the United States is seeking a DevSecOps Engineer to maintain and enhance enterprise tools (GitLab, JIRA, Nexus) and to implement IaC and GitOps workflows. You will transform legacy services into automated infrastructure and integrate AI/ML capabilities into code review and incident triage.

Collaborate with development, operations, and security teams to standardize processes, mentor staff, and contribute to governance and strategy.