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Nageswar N - Sr. Devops Engineer

[email protected]

Location: Chicago, Illinois, USA

Relocation: Yes

Visa: H1

Resume file: Nageswar_DevOps_1746115828387.docx Please check the file(s) for viruses. Files are checked manually and then made available for download.

Nageswar N +1 (872) 362-5232 [email protected] Professional Summary: Over 6 years of experience as a DevOps Engineer, specializing in cloud automation, CI/CD, and infrastructure as code (IaC) across AWS and Azure. Extensive experience in optimizing AWS cloud infrastructure post-migration, focusing on performance tuning, cost efficiency, and high availability. Strong expertise in AWS and Azure networking, including VPCs, Transit Gateway, Direct Connect, PrivateLink, VPNs, and hybrid cloud integrations for secure, scalable connectivity. Proficient in Terraform, CloudFormation, and Helm for automated infrastructure provisioning, multi-cloud deployments, and Kubernetes workload optimization using Karpenter. Designed and implemented robust CI/CD pipelines using Jenkins, GitHub Actions, and Harness, integrating Groovy scripting, Maven, and containerized builds for seamless deployments. Automated compliance checks for insurance applications using Python, Selenium, and AWS Lambda, reducing manual efforts and improving accuracy. Hands-on experience with Kubernetes (EKS, AKS, OpenShift), Docker, and Helm, ensuring efficient container orchestration and high availability. Expertise in Kafka-driven data streaming and event-driven architectures for real-time transaction monitoring and fraud detection. Developed microservices-based architectures, migrating monolithic applications to cloud-native solutions for scalability and resilience. Automated configuration management with Ansible, Chef, and Puppet, ensuring consistent deployments across multi-cloud and hybrid environments. Secured cloud environments with IAM policies, role-based access control, encryption, security best practices, and compliance frameworks to mitigate risks. Implemented blue-green deployment strategies using Terraform for seamless infrastructure updates without service interruptions. Spearheaded cloud cost optimization initiatives, leveraging Kubernetes autoscaling and Spot Instances, achieving significant cost reductions while maintaining system reliability. Designed monitoring and logging solutions using Grafana, Splunk, ELK stack, and New Relic, providing real-time insights into system performance, failures, and transaction processing. Optimized database performance through query tuning and caching strategies, improving credit card application processing speed by 25%. Proactively monitored transaction systems, identifying and resolving performance bottlenecks before impacting end users. Strong communicator and team collaborator, working across development, security, and operations teams to ensure smooth DevOps adoption and compliance with industry standards. Technical Skills: Cloud Technologies AWS, Azure Build Tools Gradle, Ant, Maven CI/CD Tools Jenkins, GitHub Actions, Harness Configuration Management Tools Ansible, Puppet, Chef Web Server JBoss, Tomcat, Nginx Automation Tools Ansible, Terraform, Cloud Formation Monitoring & Logging Splunk, Grafana, ELK Stack Languages & Scripting Python, PowerShell, Groovy Database Amazon RDS, MySQL, Maria DB Operating Systems Linux (Red Hat, Ubuntu), Windows Version Control Git, GitHub, Subversion Bug Tracking Jira, Bugzilla Orchestration & Containerization Kubernetes (EKS, AKS), Docker, Helm Messaging & Streaming Kafka, Rabbit MQ, AWS Kinesis PROFESSIONAL EXPERIENCE: Client: Discover Riverwood, IL Position: AWS Devops Engineer Date: Jan 2024 - Present RESPONSIBILITIES: Enhanced AWS cloud infrastructure post-migration, focusing on performance tuning and cost efficiency. Managed and optimized AWS RDS instances and Maria DB to ensure high availability and performance. Implemented Karpenter for Kubernetes workload optimization, enabling dynamic autoscaling and efficient resource allocation, reducing cloud costs and improving performance. Designed and implemented robust CI/CD pipelines using tools such as Jenkins and GitHub Actions, streamlining the deployment process and reducing release cycle times. Integrated automated testing and security scanning within the CI/CD pipelines, ensuring early detection of vulnerabilities and maintaining high-quality code standards throughout the development lifecycle. Implemented blue-green deployment strategies using Terraform for seamless infrastructure updates without service interruptions. Collaborated with fraud prevention teams to integrate real-time transaction monitoring using Kafka-driven data streaming. Spearheaded cloud cost optimization initiatives by implementing Kubernetes autoscaling and leveraging Spot Instances, achieving a 30% reduction in monthly infrastructure expenses while maintaining system reliability. Collaborated with cross-functional teams to optimize cloud resource utilization, leading to a 25% decrease in operational costs. Strengthened access security by implementing IAM role-based access controls, ensuring restricted and secure handling of sensitive credit card data. Automated compliance checks for insurance applications using Python, Selenium, and AWS Lambda, reducing manual efforts and improving accuracy. Improved logging and error tracking by implementing an ELK stack, providing actionable insights into system performance and failures. Configured high-availability architectures using AWS Elastic Load Balancer and Auto Scaling Groups, ensuring resilience during peak traffic. Standardized infrastructure deployments with reusable Terraform modules, maintaining consistency and reducing setup complexity across multiple environments. Proactively monitored transaction systems with New Relic, identifying and resolving performance bottlenecks before they impacted end users. Optimized database performance through query tuning and caching strategies, improving credit card application speed by 25%. Participated in the migration of Discover's card settlement environment to AWS, contributing to enhanced processing speed and flexibility. Contributed to the implementation of hybrid cloud strategy, balancing on-premises data centers with AWS cloud services to enhance operational flexibility and scalability. Engaged in the migration of accounting services to cloud-based systems through the MAPS Program, simplifying financial operations. Participated in open-source initiatives, contributing to projects aimed at enhancing the security and reliability of financial services. Collaborated on automation projects utilizing tools like Python and AWS Lambda to streamline processes and reduce operational risks. Worked on application development projects focused on building reliable, scalable, and secure financial applications. Collaborated with cross-functional teams to implement financial services cloud solutions, enhancing customer relationship management. Contributed to the development of Discover's cloud computing environment, sharing insights on cloud adoption and optimization strategies. Environment: AWS (Amazon Web Services), Kubernetes, OpenShift, Docker, Terraform, Ansible, Jenkins, GitHub Actions, Nexus, SonarQube, Splunk, Grafana, ELK Stack, Karpenter, New Relic, Kafka, Python, Selenium, PostgreSQL, MySQL, RESTful APIs, Agile, Harness, Olik, Maria DB. Client: Equipment Share Columbia, MO Position: Devops Engineer Date: Dec 2022 Dec 2023 RESPONSIBILITIES: Architected and managed a rental equipment platform leveraging AWS and Kubernetes, enabling seamless integration of rental processes, transaction workflows, and enhanced security measures. Automated build, test, and deployment processes for platform updates by deploying CI/CD pipelines with Jenkins, Harness, and Ansible, while securing the pipelines with Nexus Firewall to ensure only trusted components enter the build and deployment workflows, reducing deployment time by 35%. Secured transaction gateways for rental equipment by implementing industry-standard protocols like TLS and tokenization, ensuring robust data protection. Enhanced platform reliability and scalability by integrating Kubernetes-based microservices for streamlined equipment tracking and rental workflows, while managing containerized environments to ensure consistent scaling and high availability across cloud environments. Designed multi-cloud environments on AWS and Azure, leveraging Terraform and CloudFormation for automated provisioning, improving platform scalability and fault tolerance. Reduced manual intervention by 40% in transaction reconciliation processes through automated data pipelines created with Python and PowerShell scripts. Achieved zero-downtime deployments by architecting containerized environments using Docker and Kubernetes for the platform. Developed and optimized real-time monitoring dashboards using Grafana and Splunk, providing actionable insights into equipment usage and transaction statuses, and enabling proactive issue resolution. Integrated AWS CloudWatch and SNS to implement real-time alerts for equipment failures and critical system issues, enhancing incident response times and minimizing downtime. Automated compliance reporting on data privacy, transaction security, and system configurations using PowerShell scripts, improving audit readiness. Optimized platform infrastructure cost and resource utilization through configuration management with Ansible and detailed monitoring via AWS CloudWatch and Splunk. Reduced unauthorized access incidents by 25% by securing sensitive transaction data with IAM role-based access control and multi-factor authentication. Migrated on-premises VMware environments to AWS IaaS, reducing infrastructure costs and enhancing scalability for platform operations. Ensured consistent and efficient application environment setups by developing reusable Terraform scripts for Dev, Staging, and Production, reducing setup time by 50%. Collaborated with cross-functional teams to design and deploy secure APIs for equipment rentals, transaction processing, and customer notifications. Enhanced platform analytics by integrating Elasticsearch and Kibana, providing detailed insights into rental patterns and transaction trends. Customer satisfaction improved by 30% by reducing platform downtime through proactive monitoring and alerting critical services. Environment: AWS (EKS, S3, CloudWatch, IAM, RDS, Route53, SNS), Kubernetes, Docker, Terraform, Jenkins, Ansible, Python, PowerShell, Splunk, Grafana, Elasticsearch, Kibana, Nexus, VMware, Linux, Harness, TLS, Tokenization, CloudFormation. Client: EPAM Systems, Inc. Hyderabad, INDIA Position: Devops Engineer Date: April 2019 -July 2022 RESPONSIBILITIES: Designed and implemented CI/CD pipelines using Jenkins, integrating with version control systems (Git, SVN) to streamline weekly releases and ensure organized version control. Automated infrastructure provisioning on AWS using Ansible and Terraform, managing EC2 instances, S3, and DNS to enable consistent and repeatable cloud setups. Developed and maintained containerized environments with Docker and Kubernetes, deploying clusters across AWS, Azure, and OpenShift, ensuring scalable and reliable application environments. Built and deployed custom Amazon Machine Images (AMIs) on EC2 instances, leveraging Terraform for reusable infrastructure configurations to meet specific deployment needs. Integrated Jenkins with Docker, publishing images to a private Nexus repository, and automated the build and release cycles for various applications (Java, Angular, .NET). Worked with Chef and Ansible to automate server configurations and provisioning, creating reusable cookbooks and playbooks to ensuring consistent setup across environments. Managed build processes for Java projects using Maven and ANT, integrating them into the CI/CD pipeline to facilitate seamless deployment. Created and optimized deployment scripts using Perl and Shell, enhancing the automation of build, test, and release processes within the CI/CD system. Maintained consistent version control operations with Git and Subversion, organizing code repositories and managing metadata to support clean releases. Enhanced application delivery by automating routine tasks with Ansible, ensuring smooth deployments and system configurations across development, staging, and production environments. Environment: VMware, Kubernetes, AWS, Jenkins, Ansible, Terraform, Docker, Linux, Ubuntu, GitHub, Subversion, Shell, Maven, Ant, Java, Chef. Education: Masters in Eastern Illinois University, Charleston - IL Keywords: continuous integration continuous deployment message queue sthree database Illinois Missouri