- Analyze client IT environments to identify opportunities for enhanced efficiency using AI powered DevSecOps tools and methodologies across traditional and cloud native platforms
- Prepare gap analysis and design a roadmap for AI integrated DevOps automation covering CI CD CT pipelines from requirements to deployment
- Architect intelligent DevSecOps tooling infrastructure defining interfaces and integrations with platforms like GitHub GitLab Azure DevOps and AI enhanced developer tools
- Mentor DevOps engineers in leveraging Generative AI tools such as GitHub Copilot GitLab Duo and Microsoft 365 Copilot to accelerate development testing and deployment workflows
- Apply Prompt Engineering techniques to optimize interactions with LLMs and improve automation code generation and documentation
- Research and evaluate emerging technologies in AI ML MLOps and Generative AI contributing to solution development and innovation
- Strong experience in platform engineering across people process and technology with a focus on AI augmented DevSecOps practices
- Hands on expertise in CI CD CT pipeline development using Java
- NET ERP platforms with strong scripting and automation capabilities
- Experience designing and optimizing cloud environments AWS Azure GCP including auto scaling high availability and AI based resource orchestration
- Proficiency with DevOps toolchains Git Maven Artifactory Nexus and configuration management tools like Ansible Chef Puppet
- Hands on with Terraform Ansible Tower Docker Swarm Kubernetes
- Experience in integrating and using AI developer tools like GitHub Copilot GitLab Duo and Microsoft 365 Copilot in engineering workflows
- Skilled in managing EKS AWS AKS Azure and OpenShift clusters with hands on experience in provisioning scaling and lifecycle operations
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