DevSecOps Consultant

DevSecOps Consultant

• 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 Good to Have: • Familiarity with Agile methodologies (Scrum, Kanban). • Exposure to ML frameworks: Python ML, Scikit-learn, TensorFlow, Spark ML. • Experience with monitoring/APM tools: ELK, Prometheus, New Relic, Dynatrace, Nagios. • Knowledge of capacity planning and incident response using AI-based anomaly detection. • Experience with NoSQL and key-value stores: MongoDB, Redis, Memcached. • Understanding of web server technologies. • Strong automation mindset with a vision for scalable, intelligent environments. • 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.