• Designing, automating, and scaling cloud infrastructure for both web applications (Python/Django + JavaScript/NextJS) and ML pipelines. • Managing and improving CI/CD pipelines for application deployments and ML workloads. • Implementing DevSecOps practices: integrating security scans, IAM policies, and compliance automation. • Building monitoring, logging, and alerting systems to ensure high availability and performance. • Optimizing workloads for cost, reliability, and scalability (across API services, web apps, and ML model serving). • Handling on-call issues across infrastructure, deployments, and ML pipelines. • Driving best practices in infrastructure security, cost governance, and reliability engineering. • Mentoring junior DevSecMLOps engineers and collaborating closely with ML, Dev, and Product teams.