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DevSecOps Engineer
- Insight Global (Hunters Mill, NC)
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Job Description
• Maintain existing CI/CD pipelines and environments
• Develop new pipelines using GitLab
• Implement and manage Docker and Kubernetes containers
• Script automation using Bash and Python
• Work within Linux command-line environments
• Support and integrate with Oracle-based core software
• Apply AWS EKS knowledge to cloud infrastructure tasks
• Build and maintain custom tooling using Terraform and Ansible
• Implement security measures across the SDLC
• Automate vulnerability assessments
• Collaborate with development teams on security and AI integration
• Monitor and optimize system performance
• Maintain technical documentation
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
• Maintaining existing CI/CD environments and pipelines (GitLab)
• Developing new CI/CD pipelines
• Docker and Kubernetes
• Bash and Python scripting
• Linux command-line experience
• Working with Oracle-based core software
• AWS – strong understanding of EKS
• Terraform / Ansible – custom tooling
• Firm knowledge of DevSecOps principles
• CI/CD tools (GitLab)
• Linux/Unix administration
• Cloud platforms (OCI, AWS)
• Security best practices (SAST, DAST)
Agile methodologies • AI/ML model deployment and integration experience
• Knowledge of AI/ML frameworks
• Familiarity with MLOps practices
• Certifications (AWS DevOps Engineer, CISSP)
Monitoring and logging tools (ELK stack, Prometheus, Grafana, Langfuse)
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