May 2021 – Aug 2023 · 2 yrs 3 mos · Noida, Uttar Pradesh, India · Hybrid

• In my role, I spearheaded AEM deployment initiatives for a diverse clientele, harnessing the power of AWS as our primary cloud platform. Additionally, I led Kubernetes integration efforts to optimize application scalability and management.
• Key highlights of my responsibilities include:
• Orchestrating AEM deployments for a broad spectrum of clients, ensuring seamless integration and optimal performance within the AWS environment.
• Leveraging Jenkins, alongside shell scripts and Python scripts, to automate and streamline the deployment process, reducing manual intervention and enhancing operational efficiency.
• Implementing monitoring solutions using Icinga and New Relic to proactively monitor system health and performance, ensuring optimal uptime and reliability for our clients' applications.
• Leading Kubernetes integration efforts to containerize and orchestrate AEM deployments, enhancing scalability and resource utilization within our cloud environment.
• These experiences have equipped me with a comprehensive understanding of AEM deployment processes, cloud infrastructure management, containerization, and monitoring practices. They enable me to deliver value-added solutions and drive client satisfaction in dynamic environments.

Mar 2019 – May 2021 · 2 yrs 2 mos · Noida, Uttar Pradesh, India · On-site

• In my role, I spearheaded the development and implementation of a comprehensive FinOps platform designed to optimize costs across diverse cloud platforms and container orchestration environments.
• Key highlights of my responsibilities include:
• Leveraging Azure Data Factory to streamline data management and migration processes, ensuring seamless data flow and integrity across multiple environments.
• Implementing Azure DevOps for Continuous Integration and Continuous Deployment (CI/CD) workflows within various Azure Data Factory environments, enhancing software delivery pipelines and release management.
• Establishing robust security measures through the implementation of Azure policies and blueprints, ensuring compliance and protecting critical assets.
• Developing automation runbooks and leveraging Azure Functions to automate repetitive tasks and enhance operational efficiency within the Azure cloud environment.
• Administering and managing operations in both Openshift and Kubernetes clusters, ensuring high availability and optimal performance.
• Contributing to the development and optimization of GitLab CI/CD pipelines, facilitating efficient software delivery and deployment processes.
• Designing and implementing monitoring solutions using Prometheus and Grafana, providing comprehensive visibility into system performance and health.
• Developing custom CLI modules using Python scripting, streamlining operational workflows and enhancing productivity.
• Implementing Infrastructure as Code (IaC) principles using Terraform by HashiCorp, facilitating the automated provisioning and management of cloud resources.
• Designing catalog templates for Openshift, simplifying application deployment and management processes within containerized environments.

Jun 2016 – Mar 2019 · 2 yrs 9 mos · Noida Area, India · On-site

• During my tenure, I've overseen the management of a substantial number of instances on AWS, ensuring optimal performance and scalability for mission-critical applications.
• Key highlights of my responsibilities include:
• Implementing Prometheus for granular monitoring of microservices deployed within ECS clusters, ensuring real-time visibility into system health and performance.
• Configuring Jenkins for Continuous Integration and Continuous Deployment (CI/CD) workflows, streamlining the software delivery pipeline.
• Utilizing Kubernetes for efficient orchestration and management of containerized applications, optimizing resource utilization and scalability.
• Developing automation and deployment utilities using Bash and Python, enhancing operational efficiency and minimizing manual intervention.
• Crafting custom monitoring solutions and integrating monitoring methodologies into deployment processes to facilitate self-healing capabilities.
• Implementing serverless applications using AWS Lambda, S3, and API Gateway, optimizing resource consumption and scalability.
• Automating Docker-based project deployments using AWS ECS services, ensuring efficient and consistent application deployment.
• Leveraging boto3 to automate tasks requiring significant human intervention on AWS, improving operational efficiency and reducing manual effort.
• Managing containerized applications using Kubernetes, ensuring seamless deployment and scalability across environments.
• Administration of web servers including Nginx, Apache, and Tomcat on Linux servers, optimizing performance and security configurations.
• Implementing various log management tools such as log.io, loggly, and Kibana for centralized log analysis and monitoring.
• Utilizing Bitbucket APIs for proactive notification and tracking of activity within Bitbucket repositories.