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 HR@insightglobal.com.To 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/.
Required Skills & Experience
• 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
Nice to Have Skills & Experience
• 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)
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.