Description
The DevSecOps Engineer for Artificial Intelligence and Machine Learning (AI/ML) role involves actively participating in SAFe and Scrum development teams and meetings. You will automate and optimize service deployments, integrate with enterprise authentication services, establish and improve system monitoring, architect, build and maintain on-premise and/or cloud infrastructure, administer production, staging and development environments, manage and aggregate server logs, monitor system performance, maintain and improve existing build and deployment processes using CI/CD tools, apply configuration management disciplines, enforce best practices for security and reliability, work with A&A Teams to maintain security requirements, maintain up-to-date documentation, track and ensure routine operations maintenance tasks are completed, align with the customer's strategies, utilize the customer's enterprise DevSecOps pipeline, and work with other service providers.
The ideal candidate will have 8+ years of related experience, 3+ years of related systems programming experience, a Bachelor of Arts/Bachelor of Science degree, understanding of GitLab, Jenkins, ArgoCD, and other DevOps/Continuous Integration tools for Kubernetes, microservice design and architectural pattern best practices, Python, Bash, and Shell scripting, experience maintaining an operational environment and use of monitoring tools and dashboard interfaces, experience working with container images and platforms, experience in building processes for deploying to a Kubernetes-based environment using Gitlab and Helm, experience using Jira and Confluence on a daily basis, and experience with deploying to on-prem/data center infrastructure.
The likely salary range for this position is $161,500 - $218,500.