Reddy Abhinav R
Senior DevOps Engineer | AWS & Azure Cloud Strategist | Infrastructure as a Code Advocate | CI/CD Architect | Automating the Future, One Pipeline at a Time
- Role
- Sr Aws Devops Engineer at JPMorganChase
- Location
- Cincinnati, OH, US
- LinkedIn followers
- 500 followers
About Reddy Abhinav R
I’m a Senior AWS DevOps Engineer with over 9 years of experience, passionate about…
Experience
Sr Aws Devops Engineer
Sep 2023 — Present
Designed scalable AWS solutions using EC2, RDS, S3, VPC, CloudWatch, ECS, and Lambda for distributed systems built on Java/Spring Boot and KafkaConfigured secure VPC networks with subnets, gateways, and Route 53 to support microservices and database workloads like RDS and DynamoDBAutomated infrastructure provisioning with Terraform and Terragrunt, deploying ECS and OpenShift clusters to streamline setup and scalabilityDeployed Docker containers on OpenShift to ensure high reliability and consistency in production environmentsBuilt CI/CD pipelines using Jenkins and AWS CodePipeline, integrating Python-based automation for rapid and reliable releasesMonitored application and infrastructure health using CloudWatch, ELK Stack, Prometheus, and Grafana, optimizing performance of cloud databasesLed platform engineering efforts, mentoring teams in Python scripting, Ansible automation, and Terraform best practices under Agile workflowsIntegrated Datadog for real-time observability into distributed systems, helping reduce operational downtimeManaged DNS via Route 53 to ensure application availability and routing for Spring Boot servicesMaintained GitLab repositories, implementing branching strategies and overseeing merge request reviews for cleaner codebasesSecured AWS infrastructure using IAM, OAuth, and ISO 27001-compliant configurationsDeveloped Puppet modules to automate configuration management and integrate AWS CloudWatch metricsUsed AWS CodeDeploy and CodePipeline for seamless production deploymentsAuthored Python scripts for data parsing, system integration, and infrastructure automationCentralized log management by configuring Logstash and Filebeat on Linux, sending data to Elasticsearch for analysisLaunched and tailored EC2 instances to meet specific workload and performance needs for distributed applicationsStrengthened cloud security posture with AWS IAM policies and resource-based access controls
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