Designed and built highly scalable, distributed REST Microservices using Java, Springboot, Python, Fast API to streamline incident response by aggregating real-time monitoring logs and Confluence runbooks.

Integrated LLM-based workflows to automate Root Cause Analysis (RCA) and generate remediation scripts, reducing manual troubleshooting time by 40%.

Engineered a resilient persistence layer using PostgreSQL and Spring Data JPA to maintain audit trails of incident states, ensuring data integrity across distributed microservices.

Integrated with application observability tools including OpenTelemetry, Micrometer, Prometheus, Grafana, ELK Stack, and Jaeger to enable metrics, logging, and distributed tracing.

Architected and deployed highly available (HA) and fault-tolerant containerized workloads using Docker on AWS EKS(Kubernetes), implementing Circuit Breaker and Bulkhead patterns to prevent cascading failures.

Automated infrastructure provisioning using Terraform (Infrastructure-as-Code) to manage and maintain the highly available, resilient AWS EKS cluster across multiple Availability Zones (AZs) for maximum uptime.

Led the development process within an Agile Scrum framework, actively participating in sprint planning, backlog grooming, and daily stand-ups to drive cross-functional alignment and timely delivery of features.

Integrated AI-assisted coding tools (e.g., Cursor) into the SDLC to drive faster prototyping and team automation.

Desined, Implemented, and Containerized microservices developed in Java, Python for consistent deployment and scalability.

Implemented and optimized CI/CD pipelines using GitHub Actions and Argo CD with a GitOps approach, reducing delivery times by 20%.

Created and managed Kubernetes EKS clusters on AWS, deploying microservices with automated scaling, high availability, resilient and fault tolerance.

Led Kubernetes adoption, improving cost efficiency by 25%.

Developed Terraform Infrastructure as Code (IaC) for AWS and Kubernetes; managed remote state using S3 and DynamoDB.

Implemented observability with Prometheus and Grafana for metrics, centralized logging for visibility, and distributed tracing to streamline troubleshooting and optimize performance.

Experienced with AWS networking (VPC, IAM, EC2, Load Balancers, Route 53) and networking fundamentals (TCP/IP, DNS, routing, load balancing).

Applied cloud security best practices and managed secrets with HashiCorp Vault; enforced IAM policies and secure access controls.

Proficient in Python, Go, Java, and shell scripting within Linux-based environments for automation and tooling.

Built incident response systems, participated in on-call rotations, promoted postmortem culture, and documented resolutions for knowledge retention.

Introduced version control best practices with Git, improving code collaboration and traceability.

Mentored junior DevOps engineers and led knowledge-sharing sessions on CI/CD and automation.

Promoted asynchronous communication and maintained clear documentation to support distributed teams and standardize processes.

Self-starter with a proactive approach to solving operational challenges and driving continuous improvement.

Spearheaded the development of cloud-native, high-availability systems by designing and implementing RESTful APIs using Java, Spring Boot, and React—cutting feature delivery time by 30%.

Built and deployed containerized microservices (Docker + Kubernetes), ensuring 99.9% uptime during high-load operations with robust fault tolerance and horizontal scaling.

Improved API response times by 40% through optimization with API Gateway, load balancers, and caching strategies.

Enhanced observability with AWS CloudWatch, reducing debugging time by 25%.

Leveraged AWS (EC2, S3, RDS) to deploy cost-effective, auto-scaling solutions, reducing operational overhead by 20%.

Automated CI/CD pipelines with Jenkins, accelerating delivery and improving reliability.

Mentored junior engineers and drove code quality improvements, resulting in a 30% increase in team efficiency.

Modernized legacy backend systems by migrating services to AWS infrastructure, improving availability, scalability, and security posture.

Designed and built microservices with Spring Boot, focusing on resilience, scalability, and modular architecture.

Developed and optimized MySQL-based CRUD operations to support high-throughput transactional workflows.

Automated CI/CD workflows using Jenkins, streamlining release cycles and reducing manual deployment errors.

Provided knowledge transfer and onboarding support to junior engineers, enhancing team ramp-up time and collaboration.

Gained exposure to Google Cloud services, including Cloud Storage and Compute Engine, for cross-platform compatibility