DevOps Engineer

Leading team for Migration of source code from Bitbucket to GitHub for cybersecurity firm;

Migrated approximately 1,700 repositories to GitHub, resulting in a significant reduction in Bitbucket licensing cost;

Strong expertise in Linux administration, with advanced troubleshooting and problem-solving skills;

Extensive experience writing Terraform code to provision, manage, and optimize AWS infrastructure, utilizing best practices such as workspaces, data sources, and modules for improved scalability and maintainability;

Proficient in writing Python scripts to identify and manage unused resources, helping to optimize and reduce costs in AWS infrastructure;

Implemented a cost optimization strategy by leveraging Reserved Instances and Spot Instances in AWS to significantly reduce overall infrastructure costs;

Skilled in developing and automating CI/CD pipelines in Jenkins, with a focus on integrating security and vulnerability scanning throughout the process;

Experienced in deploying, managing, and maintaining applications on AWS, with a focus on implementing monitoring solutions and cost-reduction strategies;

Managing high availability, scalability, and observability in AWS cloud environments to ensure performance, reliability, and seamless operations;

Implementing deployments of containerized applications using Kubernetes, ensuring efficient orchestration, scaling, and monitoring;

Plan and implementation of DR environment for backup and recovery;

24X7 Support for prod incidents and providing efficient resolution by identifying and fixing the issues along with the RCA

Worked with GE Healthcare as a client;

Responsible for provisioning infrastructure on VMware (vSphere) within the AWS cloud using Terraform;

Managed and orchestrated Kubernetes cluster deployments for microservices, ensuring seamless scaling, high availability, and efficient resource utilization. Oversaw the entire deployment lifecycle, from containerization and configuration to monitoring and troubleshooting, to support the continuous delivery of microservices-based applications in a dynamic environment;

Good hands on with automation and integration tools like Jenkins for CI/CD;

Collaborated with development leads to design and manage code release pipelines;

Partnered with security teams to plan and execute comprehensive security assessments.

Contributed to the Upoint NextGen project as part of the CI/CD team, a product that delivers HR and financial solutions for large enterprises;

Automated deployment workflows using Docker, Docker Swarm, Bitbucket, Ansible, and Jenkins, streamlining the deployment process for systems and services hosted on AWS;

Gained hands-on experience with a wide range of AWS services, including EC2, S3, IAM, and Route 53, to manage cloud infrastructure and improve operational efficiency;

Implemented infrastructure and application health monitoring by configuring custom dashboards on New Relic, proactively identifying performance bottlenecks and ensuring system reliability.

Also handling releases for legacy and monolith applications using CI/CD Jenkins;

Handling and troubleshooting production incidents to identify bottlenecks and providing RCA.

Worked for Client- Lloyd's of London

Managed the release implementation process for strategic quarterly releases, ensuring that each release was meticulously planned and executed;

Chaired release board meetings, where I led discussions on release scope, timelines, and potential risks, while also preparing detailed runbooks to guide the implementation process;

Coordinated cross-functional teams, both on-site and off-site, to ensure seamless collaboration and timely execution of production deployments, mitigating any potential issues before they arose;

Applied deep expertise in CI/CD tools like Jenkins, Ant, and Maven, facilitating the automation and streamlining of deployment pipelines to ensure consistent, reliable, and efficient releases;

Oversaw the entire release lifecycle, from initial planning to post-release monitoring, ensuring that all systems and services were properly tested, validated, and deployed with minimal disruption to production environments.