DevSecOps Consultant

• 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.

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.