Responsibilities:

• Independently coordinated the Microservices deployments on EKS, ensuring a smooth transition of containerized workloads while improving scalability and resource utilization.
• Architected and optimized a production observability pipeline using Prometheus, Grafana, Fluent Bit, and Loki, significantly improving system reliability and performance through advanced metrics and logging solutions.
• Transformed AWS cloud infrastructure to meet CIS benchmark standards, orchestrating security control implementation, documentation, and continuous monitoring for full compliance.

Responsibilities:

• Structured CICD end-to-end pipelines harnessing Jenkins to build, test, and deploy the Microservices applications.
• Dockerized Microservices to reduce dependency issues, optimized Docker images with multi-stage build, and cut down layers in the Docker image, resulting in a 40% improvement in deployment efficiency.
• Formulated and implemented automation scripts taking advantage of Python & Shell that led to the development of several system components, resulting in a 20% increase in productivity.
• Decreased 50% of the cost of AWS resources by converting on-demand resources to spot services using IaC.
• Centralized system & application logging adopting ELK stack, scripted monitoring dashboards using Python on Kibana, resulting in a 20% improvement in debugging time.

Responsibilities:

• Led a team of 2 interns and implemented kPoint web application staging setup and rolled out on AWS cloud.
• Wrote an AWS cloud infrastructure for scaling applications employing Terraform coding and application configuration using Puppet and Python scripts, resulting in a 70% time reduction of resources provisioning.
• Performed application monitoring on Production Servers operating with Nagios and Munin Monitoring, putting together monitoring scripts to maintain 24/7 application availability and mitigate downtime.