Senior DevOps Engineer with AWS, Kubernetes, IaC
Resume:
Jayasimha P
Senior Devops Engineer
********@*****.***
PROFESSIONAL SUMMARY:
Designed, configured, and managed public and private cloud infrastructures using Amazon Web Services (AWS).
• Developed and deployed cloud-based solutions across IaaS and PaaS environments.
• Built and configured containerized test environments using Docker and orchestrated workloads with Kubernetes.
• Provisioned AWS and Azure resources using Terraform including SQS, Redshift, Lambda, Elastic Beanstalk, AWS Batch, ECS, Fargate, and Kinesis Firehose.
• Configured Application Load Balancers within Auto Scaling Groups to enable high availability and fault tolerance.
• Implemented SQL Server Master Data Services (MDS) in Azure IaaS environments.
• Created Amazon Machine Images (AMIs) and EBS snapshots for backup, disaster recovery, and cloning of instances.
• Developed Java-based APIs to integrate with AWS S3 for secure object storage and retrieval.
• Designed VPC architectures including subnetting, Internet Gateways, NAT Gateways, VPC Endpoints, and VPC Peering across regions.
• Built Infrastructure as Code (IaC) using Terraform modules to provision and manage AWS environments.
• Migrated Azure Classic (ASM) infrastructure to Azure Resource Manager (ARM) using scripting and templated deployment approaches.
• Provisioned and managed Amazon EKS clusters with managed node groups, IAM Roles for Service Accounts (IRSA), and autoscaling policies.
• Implemented Helm-based microservice deployments into EKS clusters supporting blue-green deployment strategies.
• Configured Kubernetes Horizontal Pod Autoscaler (HPA) and Cluster Autoscaler for workload optimization.
• Implemented AWS Lambda for event-driven processing and integrated AWS DMS for on-prem to cloud database migration.
• Configured Google Cloud VPC networks and database subnet groups for secure resource isolation.
• Automated microservices deployment to Docker Swarm clusters using Ansible and private Docker registries.
• Managed source control using Git and Bitbucket including branching, merging, tagging, and version control strategies across Linux and Windows platforms.
TECHNICAL SKILLS
Cloud Platforms : AWS (EC2, S3, VPC, IAM, RDS, DynamoDB, EKS, ECS, CloudWatch, CloudTrail, Route 53, ELB, ECR, DMS), Azure
Containerization & Orchestration: Docker, Kubernetes, Amazon EKS, Helm
Infrastructure as Code: Terraform, CloudFormation
CI/CD: Jenkins, Bamboo, GitHub Actions
Configuration Management: Ansible
Version Control:
Monitoring & Logging: Git, Bitbucket, Prometheus, ELK Stack, CloudWatch, Datadog
Scripting: Bash, Python
Databases: MySQL, MongoDB, DynamoD
Networking: VPC, Subnetting, NAT Gateway, Load Balancing, DNS
PROFESSIONAL EXPERIENCE:
Client: American Airlines, Montgomery, AL Feb 2024 – Present
Role: DevOps Engineer
Roles & Responsibilities:
• Contributed to DevOps platform implementation and multi-cloud infrastructure solutions across AWS and GCP environments.
• Designed and provisioned AWS VPCs, subnets, route tables, Internet Gateways, NAT Gateways, Virtual Private Gateways, VPN, and Direct Connect connectivity using AWS Console and Terraform.
• Deployed and configured Jenkins CI infrastructure including master-slave architecture and SSH-based node communication.
• Designed and provisioned enterprise datasets in Google BigQuery using Terraform, implementing partitioned and clustered tables to optimize query performance and enforce structured data governance.
• Designed and deployed containerized LLM inference services on Amazon EKS integrating OpenAI and Amazon Bedrock APIs for AI-driven enterprise workflows.
• Implemented secure API Gateway routing and IAM-based access control mechanisms to regulate interactions with OpenAI and Anthropic endpoints.
• Developed Python-based microservices deployed on Kubernetes to support real-time prompt orchestration and LLM inference workloads.
• Integrated OpenSearch vector search capabilities to enable semantic retrieval for LLM-based applications.
• Automated infrastructure provisioning for AI workloads using Terraform, including GPU-enabled EC2 instances for optimized model inference.
• Implemented observability for AI workloads using Prometheus and Grafana, monitoring inference latency, token utilization, and service error rates.
• Designed CI/CD pipelines to build, scan, and deploy AI microservices into EKS clusters.
• Developed CI/CD workflows using GitLab and Google Cloud Build for containerized services deployed on GKE.
• Configured GCP IAM roles and service accounts using least-privilege principles to secure BigQuery datasets and cross-project access.
• Implemented monitoring and logging for BigQuery and GKE workloads using Google Cloud Operations Suite.
• Managed AWS infrastructure configuration using Ansible, Chef, and Puppet.
• Developed Infrastructure as Code workflows using Terraform and Packer for environment provisioning and immutable image creation.
• Automated configuration management using Ansible playbooks and role-based inventory structures.
• Troubleshot CI/CD pipeline failures and deployment issues within Jenkins environments.
• Managed local virtualization environments using VirtualBox and VMware for Linux-based development setups.
Environment: AWS, Cloud Formation, Openshift, Chef, Ansible, Docker, Kubernetes, Jenkins, GIT, Maven, Splunk,Red Hat Linux, Centos, Ubuntu, Nagios, MySQL, SQL, HPC
Wells Fargo NC Aug-2023-Feb-2024
AWS/DevOps Engineer
Roles and Responsibilities:
Configured and managed AWS services including EC2, VPC, Route 53, ELB, S3, EMR, RDS, and DynamoDB to support application hosting and data processing workloads.
• Designed highly available and fault-tolerant infrastructure using Auto Scaling Groups and Elastic Load Balancers within Amazon VPC environments.
• Monitored AWS resources and application metrics using Amazon CloudWatch and centralized logging pipelines.
• Implemented centralized logging and monitoring using the ELK Stack (Elasticsearch, Logstash, Kibana) with Beats for log shipping.
• Provisioned and operated Amazon EMR clusters to support distributed data processing workloads.
• Developed Spark-based POCs using Scala to evaluate distributed processing performance.
• Created and managed AWS Lambda functions with IAM role-based access for event-driven automation.
• Automated infrastructure provisioning using Terraform (HCL) and Python scripting to support repeatable cloud deployments.
• Managed EBS volumes and EC2-based environments including container platforms and middleware installations.
• Administered Jenkins and CloudBees CI environments to support automated build and deployment pipelines.
• Implemented CI/CD pipelines using GitLab and deployed containerized applications to Kubernetes clusters (GKE).
• Analyzed VPC Flow Logs, CloudTrail events, and DNS logs using Amazon GuardDuty for security monitoring.
• Configured IAM users, groups, roles, and security groups to enforce least-privilege access controls.
• Managed DNS records and traffic routing using Route 53 to improve service availability.
• Configured and upgraded Check Point firewalls including topology management and policy updates.
• Developed Infrastructure-as-Code templates using Terraform and CloudFormation to provision AWS and GCP resources including VPCs, GKE clusters, BigQuery datasets, IAM bindings, and Cloud Storage buckets.
• Installed and managed Chef Enterprise Server and bootstrapped nodes using Knife for configuration management.
• Deployed enterprise applications (JAR, WAR, EAR) to JBoss and Apache Tomcat servers via Nexus repository.
• Administered JIRA and Confluence environments including project configuration and Agile workflows.
Environment: AWS (EC2, EMR, Lambda, S3, ELB, Elastic Filesystem, RDS, VPC, Route53, Security Groups, CloudWatch, CloudTrail, IAM Rules, SNS, SQS, VPN), GitHub, Jenkins, Apache Tomcat 7.0, Python, Terraform, Shell, Linux, micro services Firewalls, Splunk.
Sr DevOps Engineer
UnitedHealth Group Aug 2021- Dec-2022
Roles and Responsibilities:
• Designed CI/CD pipelines to pull source code from GitHub, build applications using Maven, containerize via Docker, and publish images to Docker Registry.
• Automated infrastructure provisioning and application deployment using Terraform, Harness, Ansible, and Jenkins.
• Enhanced legacy applications by developing new frontend components using TypeScript, HTML5, and CSS.
• Configured AppDynamics by creating custom business transactions, data collectors, and information points for Java and .NET applications to monitor performance and image retrieval workflows.
• Designed and modified migration tools using C# .NET integrating with OpenText Content Server via RESTful APIs.
• Implemented containerized environments using Docker (OCI standards) and orchestrated workloads using Docker Swarm and Kubernetes clusters running on CoreOS.
• Developed CI/CD multibranch pipelines for .NET Core microservices using Jenkins (CloudBees) and Groovy-based Jenkinsfiles.
• Deployed ASP.NET Core web applications and APIs to AWS ECS Fargate using Azure DevOps pipelines.
• Integrated static and dynamic code analysis tools within CI/CD pipelines for security validation and open-source vulnerability scanning.
• Managed Azure infrastructure using Puppet and Chef for configuration management.
• Developed Azure custom RBAC policies and implemented security governance using Azure Security Center recommendations.
• Built custom Kafka producers and consumers using Go (Golang) for monitoring and event processing systems.
• Configured NGINX as reverse proxy for RESTful APIs and microservices deployed in Docker containers across OCI and GCP environments.
• Managed artifact repositories using JFrog Artifactory and integrated Jenkins plugins for automated artifact publishing.
• Implemented observability stack using Prometheus and Grafana with exporters such as Node Exporter and JMX Exporter.
Tanzanite software technologies pvt ltd, Hyderabad, Telangana
Role: Sr. DevOps Engineer Oct 2016– Aug 2021
Roles & Responsibilities:
Configured and managed AWS IAM users, groups, and role-based access policies to enforce secure authentication and authorization controls.
• Provisioned and configured EC2 instances using custom AMIs across Linux environments (Ubuntu, RHEL, CentOS, SUSE) to support application deployments.
• Designed and operated scalable, highly available, and fault-tolerant systems on AWS using VPC, Auto Scaling, and Load Balancing.
• Implemented CI/CD pipelines using AWS CodeBuild, CodeCommit, CodePipeline, and Jenkins to automate build and deployment workflows.
• Configured VPC networking including public/private subnets, route tables, security groups, and network ACLs.
• Established hybrid connectivity using VPN and Virtual Private Gateway (VGW) between AWS regions and on-premises environments.
• Refactored application messaging and storage services to leverage AWS SQS and S3 for scalable, decoupled architecture.
• Deployed and managed Chef Server in AWS for infrastructure automation and configuration management.
• Managed Git repositories including branching strategies, access control, and repository governance.
• Automated build processes using Ant and Maven for Java-based applications and integrated deployments with Hudson and Jenkins.
• Implemented container-based deployments using Docker and Kubernetes for scalable application delivery.
• Automated infrastructure provisioning using CloudFormation, Chef, Ansible, and Vagrant.
• Deployed and configured Apache Tomcat application servers for Java-based web applications.
• Conducted technical documentation and knowledge sharing using Confluence and JIRA-based Agile workflows.
Environment: AWS(IAM,EC2,ELB,AMI’s,Cloudwatch,Cloudtrial,NACL) Red hat Linux 7.x, AIX and Windows, AWS, Chef, Shell, Python, WebLogic Server 11g, IBM WebSphere MQ 6.0, F5 BIG-IP Load Balancers, Apache Tomcat 7.x, Configured plug-ins for Apache HTTP server 2.4, LDAP, JDK1.7, XML, SVN, GitHub. Firewalls (Palo Alto, checkpoint), McAfee, Nessus.
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