Zaheer Hussain — DevOps Engineer

DevOps/MLOps Engineer with 3+ years of experience building secure, scalable, and automated cloud infrastructure across Azure, AWS, and GCP. My expertise spans CI/CD pipeline design (GitLab CI/CD, Jenkins, Azure DevOps, GitHub Actions, ArgoCD), container orchestration (Docker, Kubernetes, Helm), and Infrastructure as Code (Terraform, Ansible, Bicep). While excelling in DevOps, I have also begun transitioning into AI/MLOps, integrating machine learning workflows into CI/CD pipelines and cloud-native environments to enable intelligent automation and scalable ML deployments. With a proven track record in cloud migration, GitOps workflows, and DevSecOps integration, I specialize in delivering cloud-native automation, AI-driven workflows, and resilient microservice deployments that accelerate delivery and reduce operational costs. Throughout my career, I have architected and automated enterprise workloads, optimized CI/CD pipelines to cut deployment times by 30%, and reduced post-deployment issues by 70%. I have successfully implemented secure credential rotation (HashiCorp Vault, Azure Key Vault), integrated SonarQube, Veracode, and Semgrep for proactive vulnerability detection, and leveraged Datadog, Grafana, and Prometheus to enhance observability and cost efficiency. In parallel, I have explored AI/MLOps practices such as ML model deployment, monitoring, and workflow automation using tools like MLflow, Kubeflow, and AWS SageMaker. My passion lies in applying AI-driven solutions to predict pipeline failures, enable self-healing infrastructure, and drive intelligent automation. Certified in Azure Fundamentals, Azure AI Fundamentals, Oracle Cloud DevOps Professional, and AWS Solutions Architect Associate, I am committed to continuous learning and advancing enterprise DevOps and AI/MLOps practices. I am now seeking opportunities where I can contribute to scalable cloud automation, AI-powered DevOps innovation, and secure CI/CD transformation. I am particularly interested in roles that allow me to design intelligent workflows, lead cloud migration strategies, and drive DevSecOps and AI/MLOps adoption in forward-thinking organizations. My goal is to collaborate with teams that value automation, innovation, and reliability, while enabling businesses to achieve faster delivery, stronger security, and smarter infrastructure.

Stackforce AI infers this person is a Cloud Infrastructure and DevOps specialist with a focus on AI/MLOps.

Location: Noida, Uttar Pradesh, India

Experience: 3 yrs 4 mos