ESWAR LOHITH BHUKKE

• Designed and operated a secure AI infrastructure platform on AWS supporting 50+ AI agents across multiple environments.

• Implemented platform control-plane components including LLM gateway patterns for authentication, routing, rate limiting, and cost governance.

• Deployed and managed containerized AI runtime environments on Amazon EKS ensuring scalable and reliable workload execution.

• Implemented enterprise secrets management using HashiCorp Vault integrated with Kubernetes and CI/CD pipelines.

• Built Terraform modules and automated CI/CD pipelines enabling consistent infrastructure provisioning across environments.

• Established platform observability using CloudWatch, X-Ray, and Splunk to monitor system performance and reliability.

Client: Farmers Insurance

• Architected scalable AWS infrastructure environments using EC2, S3, and RDS to support enterprise insurance processing systems requiring high availability and reliable performance.
• Designed and implemented a fault-tolerant HashiCorp Vault infrastructure enabling centralized secrets management for containerized workloads and CI/CD pipelines.
• Designed secure cloud networking and access control patterns using VPC segmentation, IAM policies, and encryption mechanisms to protect sensitive financial workloads.
• Implemented identity and access governance using AWS IAM roles and policy frameworks to enforce least-privilege access across cloud infrastructure and application services.
• Established centralized monitoring and alerting frameworks using AWS CloudWatch and log aggregation tools to improve operational visibility and proactive incident detection.
• Designed and validated disaster recovery and backup strategies using AWS Backup and EC2 snapshot mechanisms, improving recovery objectives and ensuring business continuity.

Client: Discover Financial Services

• Managed containerized application environments on Kubernetes and OpenShift platforms, ensuring scalable and highly available runtime environments for enterprise financial services workloads.

• Implemented production-grade Kubernetes infrastructure supporting container orchestration, automated deployments, and resilient service scaling across cluster environments.

• Developed deployment automation using CI/CD pipelines and Helm-based Kubernetes releases to streamline application delivery and reduce manual operational effort.

• Supported container scheduling, service deployment, and replica management across Kubernetes clusters to maintain application availability and performance.

• Led incident response efforts by investigating production issues, performing root cause analysis, and implementing corrective actions to reduce incident recurrence.

• Improved operational visibility by implementing monitoring and observability practices using tools such as AppDynamics, Instana, Grafana, and Datadog.

• Automated routine operational and testing tasks, reducing manual workload and improving deployment efficiency across environments.

• Contributed to modernization initiatives by migrating legacy applications to containerized environments on OpenShift, improving resource utilization and deployment consistency.

• Executed software build and release processes.
• Participated in the full software development life cycle (SDLC) from requirements gathering through system implementation.
• Utilized object-oriented design principles to develop high-quality software components.
• Maintained databases by writing complex SQL queries and stored procedures.
• Used version control systems like JIRA to track code changes and bug fixes.
• A solid understanding of core Java programming and fundamentals.
• Familiarity with a Linux/UNIX runtime environment.