A glimpse into some of my

Drawing on over six years of industry expertise as a DevOps engineer, I have spearheaded numerous projects across a spectrum of sectors, from banking and healthcare to consulting, driving innovation and excellence.

Professional Experience

Decommissioning Collateral Management System - Investment Banking

This system is the next-generation successor to our organization’s current settlement systems, meticulously built from the ground up. As a DevOps engineer, my responsibilities included:

• Onboarding system accounts and linking them with respective environments.

• Designing and implementing CI/CD pipelines to build and deploy over 25 microservices onto a container platform.

• Orchestrating the seamless setup of all environments, from Development and UAT to SIT and Production, ensuring a robust and efficient infrastructure.

• Crafting configuration (YAML) files for the Kubernetes cluster.

• Establishing clusters across data centers in an active-passive setup.

• Integrating and configuring monitoring tools such as AppDynamics, Kibana, and ITRS.

• Developing two microservices from scratch to act as consumers for trades.

• Implementing health checks for the services.

• Conducting disaster recovery drills by intentionally taking down production environments to rigorously test and validate RTO/RPO objectives.

Next Gen Settlement System - Investment Banking

As the organization decided to phase out the system, my role as a DevOps engineer encompassed:

• Eliminating technical debt before decommissioning the system.

• Upgrading RHEL servers and onboarding DevOps tools like ESaaS, monitoring tools, and Jenkins pipelines.

• Developing a comprehensive technical plan for the decommissioning timeline.

• Providing regular updates to senior management via email and in-person meetings.

• Onboarding five new services with best DevOps practices to replace the legacy system.

• Coordinating with my team on the release plan and ensuring a successful production release.

Front Office Trade Booking System - Investment Banking

In this project, my responsibilities encompassed:

• Crafting robust Java code for the trade booking system.

• Writing comprehensive test cases to achieve 90% test coverage.

• Integrating SonarQube and Jenkins into the application workflow.

• Deploying the application across non-production environments.

• Supporting production release along with production control team.

• Assisting traders by troubleshooting issues and analyzing system logs when trades got stuck.

• Replaying trades via MQs to prevent revenue losses, ensuring timely and accurate trade execution.

Contact Center Solution - Health Care

In this project, I served as a software engineer, responsible for:

• Designing and developing a sophisticated contact center call routing solution using Java.

• Testing the software with Postman to ensure reliability and performance.

• Providing level 3 support to the production control team for customer-raised incidents.

• Monitoring the system for critical alerts and swiftly addressing any potential failures.

• Offering support during production releases to ensure smooth transitions.

• Participating in War-Room calls, meticulously documenting minutes of meetings, and keeping senior management updated.

Projects

recent standout projects.

Official Career Website on AWS using Terrafrom - Corporate & Investment Banking

In this project, my responsibilities encompassed:

• Developed a comprehensive 3-Tier Architecture plan and secured approval from the management.

• Designed and Configured VPC for high availability and fault tolerance clusters with public and private subnets to host the infrastructure using Terraform.

• Set Up Internet, NAT Gateways, Route Tables for public and private subents respectively ensure proper traffic routing.

• Configured clusters across data centers in an active-passive architecture.

• Deployed Web Tier in public subnets and configured Load Balancer for traffic landing zone.

• Deployed Application & DB Tier in private subnets and set up an Auto Scaling Group for demand-based scaling.

• Set Up DNS and Domain using Route 53 for domain management and traffic routing to the Landing Zone/Load Balancers.

• Implemented Monitoring and Logging: Deployed Amazon CloudWatch for monitoring and logging across all tiers.