Jan 2024 – Jan 2026 · 2 yrs · On-site

• Deployed 500+ applications across multi-regions (APAC, EMEA, NA) using Azure DevOps Pipelines into Red Hat OpenShift clusters, significantly enhancing application availability, scalability, and global reliability.
• Spearheaded multi-region deployments leveraging App Connect Enterprise (ACE) and container orchestration, ensuring compliance, fault tolerance, and zero-downtime rollouts.
• Proactively monitored application logs, cluster spin-up, and scaling operations (cluster-level and horizontal pod autoscaling), maintaining 99.9% uptime across environments.
• Integrated Instana for observability and performance monitoring, enabling real-time telemetry, AI-driven anomaly detection, and reducing incident response time by 45%.
• Migrated legacy on-prem applications to cloud-native architectures (Kubernetes & microservices), achieving 30% cost optimization and 2x faster deployment velocity.
• Introduced and maintained 17+ internal DevOps automation tools, empowering 20+ developers to deploy and manage Kubernetes-based microservices without prior containerization experience.
• Achieved 90%+ uptime for 18+ months across 87+ Kubernetes clusters on Azure and AWS through optimized cluster governance, self-healing automation, and proactive monitoring.
• Automated CI/CD workflows end-to-end using GitOps, reducing release cycles from 3 months to 7 days, improving test coverage by 67%, and earning leadership recognition.
• Led AI/ML model operationalization (MLOps) by integrating LLMs, Agentic AI systems, and Python-based pipelines within the CI/CD process — automating model validation, deployment, and performance tracking.
• Developed AI-driven DevOps automation solutions (AutoFix pipelines) using SonarQube, GitLab, and OpenAI/Gemini APIs, enabling automated code quality improvement, self-healing infrastructure, and intelligent monitoring across environments.

Jun 2023 – Feb 2024 · 8 mos · On-site

• Actively contributed to live project development environments while working in a project-based role focused on DevOps, containerization, and full stack development.
• Built and deployed CI/CD pipelines using Azure DevOps, and worked on infrastructure provisioning and configuration using Terraform and Ansible on Microsoft Azure.
• Gained practical experience deploying and managing containerized applications using Docker, Kubernetes, and Red Hat OpenShift, including involvement in CP4D and CP4I deployments on hybrid cloud environments.
• Participated in development of end-to-end Java-based full stack applications, using ReactJS, Tailwind CSS, HTML, CSS, and JavaScript on the frontend and Python for backend services.
• Contributed to UI/UX design workflows using Figma, and helped shape responsive, user-friendly interfaces.
• Delivered multiple proof-of-concept (POC) solutions and successfully collaborated on a team-based ReactJS application, which was deployed and tested in a real-time environment.

Jun 2022 – Dec 2022 · 6 mos · Noida, Uttar Pradesh, India · Remote

• Developed secure and responsive APIs using Python and JavaScript.
• Streamlined deployments with Docker for consistent environments.
• Automated processes by integrating CI/CD pipelines, improving efficiency.
• Set up scalable Azure infrastructure, focusing on VMs, Azure repo, and high availability.

Jan 2020 – Aug 2020 · 7 mos · India · On-site

• Built and containerized a scalable video-conferencing application using Docker, orchestrated with Kubernetes for high availability and horizontal scaling.
• Designed and implemented CI/CD pipelines using Azure DevOps and Jenkins, integrating Groovy scripts for pipeline customization and automation efficiency.
• Integrated JFrog Artifactory for artifact management and SonarQube for code quality checks, ensuring clean builds and reliable delivery.
• Reduced release cycles and production downtime by over 60% through automation and pipeline optimization.
• Set up robust monitoring and alerting systems for application performance using tools like Instana and Prometheus, improving reliability and MTTR.
• Configured and managed AWS IAM roles and policies to enforce least-privilege access, ensuring security compliance and smooth service integration across cloud environments.