DevSecOps Consultant

Technical Requirements: • 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

Additional Responsibilities: 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.