Summary
Overview
Work History
Education
Certification
Timeline
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Manoj Varanasi

Dallas,USA

Summary

Highly skilled AWS Certified Cloud Engineer and Site Reliability Engineer (SRE) with over 6 years of experience designing, deploying, and managing large-scale, highly available, and secure cloud infrastructure. Expertise in leveraging AWS services, automation, and DevOps practices to ensure optimal system performance, scalability, and resilience.

Overview

8
8
years of professional experience
1
1
Certification

Work History

Site Reliability Engineer

7-Eleven
07.2023 - Current
  • Developed and implemented automated monitoring, alerting, and incident response systems using tools like NewRelic, logz, and AWS CloudWatch, reducing downtime and improving system reliability.
  • Automated disaster recovery failover processes using AWS Lambda, CloudWatch Events, and Route 53, ensuring quick and seamless recovery with minimal human intervention
  • Architected, deployed, and managed OpenSearch and OpenSearch Serverless clusters, ensuring high availability, scalability, and real-time search performance
  • Implemented a Cloud Custodian policy suite across multiple accounts, improving compliance with regulatory standards
  • Deployed multi-region, highly available services on ECS, utilizing cross-region replication and load balancers (ALB/ELB) to ensure low-latency and fault-tolerant application delivery
  • Developed and implemented Cloud Custodian policies to automate cloud governance, ensuring compliance with security, cost optimization, and resource management across multiple AWS accounts
  • Implemented VPC Traffic Mirroring to monitor network traffic in AWS environments, enabling deep packet inspection for security analysis, troubleshooting, and performance optimization
  • Deployed and configured WireGuard VPN for secure, high-performance tunneling between cloud and on-premises infrastructure, ensuring encrypted communication and low-latency connections
  • Evaluated the performance, scalability, and cost-effectiveness of Amazon EKS for running microservices architecture, providing detailed recommendations to stakeholders based on the POC results
  • Automated infrastructure updates and scaling using CloudFormation, reducing manual intervention and minimizing deployment errors
  • Collaborated with DevOps teams to integrate Kong Canary Deployments into existing CI/CD pipelines, ensuring seamless automated deployment and rollback strategies
  • Created Terraform modules to manage New Relic alert policies and notification channels, allowing centralized management of monitoring thresholds and incident responses
  • Developed and optimized GraphQL schemas and resolvers in AppSync, ensuring efficient data fetching, reduced latency, and improved performance for API clients




Sr Cloud Engineer

LabCorp
11.2018 - 07.2023
  • Implemented AWS cost optimization strategies, reducing cloud expenditures by 40% through resource right-sizing, instance reservation planning, and eliminating unused or underutilized resources
  • Worked with Terraform for Infrastructure as code, executed designs, changed Automation, and converted existing Terraform modules that had version conflicts
  • Integrated AWS GuardDuty and Security Hub with incident response workflows to detect, alert, and remediate real-time threats and misconfigurations, minimizing exposure to vulnerabilities
  • Integrated AWS WAF with AWS Shield for enhanced DDoS protection, ensuring business continuity and uptime for mission-critical applications during attack events
  • Developed custom authorizers using AWS Lambda to manage authentication and authorization for API Gateway requests, ensuring secure access to protected resources
  • Setting up Event-driven, Serverless Architecture with AWS Lambda, SQS, SNS, DynamoDB, and API Gateway
  • Built and deployed AWS Lambda functions using Python to automate tasks such as event-driven data processing

Principal Cloud and DevOps Engineer

Manhattan Associates
03.2018 - 10.2018
  • Implemented and managed Kubernetes clusters on Google Kubernetes Engine (GKE) for containerized applications, optimizing performance, scalability, and cost-effectiveness
  • Automated the deployment of microservices using Helm charts, streamlining the management of Kubernetes resources, configurations, and application updates
  • Made an integration with cloud build in GCP and used build triggers to build the jobs
  • Jenkins multibranch pipeline setup and automated the deployment process of docker images and patching updates

TechOps Engineer

Venmo
03.2017 - 02.2018
  • Creating Cloud Formation templates to dynamically assign resources based on client-specific needs during deployment
  • Implemented Kubernetes auto-scaling with Horizontal Pod Autoscaler (HPA) and Cluster Autoscaler, dynamically adjusting resources based on application load, improving cost efficiency and performance
  • Migrated all monitoring dashboards and user accounts from New Relic to Data Dog
  • Integrated alerts to Pager duty and Slack notifications from New Relic

Education

Masters - computer science

University of Illinois
Springfield, ILLINOIS

Bachelors - computer science & Engineering

KL University

Certification

  • AWS Certified Developer – Associate
  • AWS Certified Solutions Architect Associate Level
  • AWS Certified Security - Specialty
  • MICROSOFT Certified Professional
  • Certified Kubernetes Administrator

Timeline

Site Reliability Engineer

7-Eleven
07.2023 - Current

Sr Cloud Engineer

LabCorp
11.2018 - 07.2023

Principal Cloud and DevOps Engineer

Manhattan Associates
03.2018 - 10.2018

TechOps Engineer

Venmo
03.2017 - 02.2018

Bachelors - computer science & Engineering

KL University

Masters - computer science

University of Illinois

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Manoj Varanasi