DevSecOps Consultant

• Analyze client IT environments to identify opportunities for enhanced efficiency using AI-powered Dev Sec Ops 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 Dev Sec Ops 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 Dev Sec Ops 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 Open Shift 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, Tensor Flow, 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.

Education: Bachelor of Engineering

Preferred skills: Technology->DevOps->Dev

Ops Architecture Consultancy: