Devops Engineer Issue Resolution
Resume:
Narendra Reddy Nyalamadugu
Email ID: ********.***@*****.***
LinkedIn: https://www.linkedin.com/in/narendra-reddy-nyalamadugu-97a4b438/
Github:https://github.com/NarendraNReddy1
https://github.com/NarendraNReddy
Objective
DevOps Engineer with an overall experience of 15 years, and 4 years of DevOps experience, achieving substantial increases in application uptime and deployment efficiency through Docker and Kubernetes. Reduced operational costs by optimizing AWS infrastructure and improved issue resolution times by 35% with robust monitoring and logging solutions.
Professional Summary
DevOps Engineer with an overall experience of 15 years, achieving substantial increases in application uptime and deployment efficiency through Docker and Kubernetes. Reduced operational costs by optimizing AWS infrastructure and improved issue resolution times by 35% with robust monitoring and logging solutions.
Launched Amazon EC2 Cloud Instances using Amazon Web Services (Linux/ Ubuntu/RHEL) and deployed instances for specific applications.
Incorporated robust error-checking mechanisms in Shell Script, including conditional statements and exit codes, to handle various scenarios and provide accurate error reporting, enhancing script reliability by 25%
Collaborated with cross-functional teams, leveraging Git repositories (e.g., Bitbucket, GitLab) to facilitate code reviews, track issues, and manage feature branches.
Incorporated robust error-checking mechanisms in Shell Script, including conditional statements and exit codes, to handle various scenarios and provide accurate error reporting, enhancing script reliability by 25%.
Designed and implemented fully automated server build management, monitoring, and deployment by using Ansible playbooks and Modules.
Integrated Jenkins CI/CD pipelines with SonarQube, Nexus, JUnit, Terraform, Ansible, and Helm to establish a robust and optimized software development lifecycle.
Accelerated Docker orchestration and Docker containerization using Kubernetes.
Administered the Kubernetes Clusters, executed rolling deployments by updating the Pod definitions, integrated Kubernetes with Jenkins scripted pipeline.
Provisioned and sustained Linux/Windows shared agents in Cloud Bees Jenkins, improving build efficiency by 20%
Upgraded Cloud Bees Jenkins, J Frog Artifactory, Red Hat Ansible Tower, and SonarQube in UAT and production environments.
Eliminated issues related to DevOps tools, coordinating with OEM support teams.
Organized SSL certificate configuration in DevOps tools to ensure 100% secure communications.
Activated repositories in GitHub, J Frog Artifactory, and SonarQube, and performed AD group mapping for role-based access control.
Deployed infrastructure on AWS by launching Amazon Linux, RHEL, and Windows EC2 instances, managing network interfaces with Elastic IPs, and creating AMI backups using AWS CLI and GUI.
Worked with Docker and OpenShift, creating and managing Docker containers, and orchestrating them with OpenShift ECS, including scaling microservices.
Participated in release cycles across development, SIT, UAT, and production environments, creating ServiceNow Change Requests and performing RLM deployment activities, reducing release cycle time by 25%
Employed Shell Script to parse and process large datasets, manipulate files and directories, and perform system-level tasks such as user management, package installations, and system configurations.
Maintained and configured CI/CD pipelines, leading to a 30% increase in deployment efficiency
Streamlined AWS cloud infrastructure provisioning using Terraform templates.
Identified and resolved system or application-level issues by utilizing Linux command-line tools, log analysis, and diagnostic utilities.
Checked file systems, uptime, and running processes, ensuring optimal server operations.
Produced daily, weekly, and monthly performance dashboards, improving visibility of system metrics by 25%
Integrated server patching and remediation processes, reducing security vulnerabilities by 40%
Installed Nagios for monitoring Linux and Windows servers, enhancing system monitoring capabilities.
Addressed and prioritized IT group tickets, achieving a 95% resolution rate within SLA
Mitigated continuous 24x7 on-site support to meet SLAs, maintaining high availability and reliability of IT infrastructure.
Implemented AWS Launch templates, reducing EC2 provisioning time by 30% and configured Jenkins CI/CD pipelines, cutting deployment time by 40%
Expertise on container-based deployments of micro-services using Docker and Kubernetes.
Automated server configuration and application deployment using Ansible, improving efficiency, and managed Git for version control.
Engineered infrastructure as code with Terraform, standardizing AWS resource management and assessed Shell scripts for routine automation tasks.
Deployed Prometheus and Grafana for monitoring and alerting, improving system reliability and response times.
Collaborated with development teams to ensure applications were designed for scalability and reliability, resulting in a 30% increase in customer satisfaction and a 25% reduction in support tickets.
Demonstrated strong troubleshooting skills by quickly identifying and resolving server and network issues.
Created and maintained system documentation, ensuring compliance with industry standards and improving overall system reliability.
Education:
Master of Technology (M. Tech) in System and Signal processing J.N.T.U. Hyderabad
Technical Certifications:
Hashicorp Terraform Associate AWS Certified.
Solution Architect Certified.
Kubernetes Administrator.
SKILLS
Cloud Technologies: AWS ( VPC,EC2,Route53,RDS,Elastic cache, SG,IAM, EKS
OS: Linux, Unix, WinCE6.0, Android, VxWorks, QNX
Scripting: Shell, Python, Linux Bash Shell
Programming Languages: C, Data Structures
Version Control Tools: Git(GitHub), Perforce (P4V)
Continuous Integration: Jenkins (Build, Plugins, Pipelines) Continuous Scanning: SonarQube Web Servers: ngnix Databases: MySQL, RabbitMQ, RedisCache Build Tool: Maven, Npm, Pip, NodeJs
Artifactory: Nexus Configuration Management: Ansible Infrastructure as Code (IaaC): Terraform Containers: Docker Container Orchestration: Kubernetes Monitoring Tools: Prometheus, Grafana IDE Environment: Eclipse, Visual Source Studio, QXDM, QPST, QACT Embedded Boards: TI (OMAP-2430, OMAP-L138 and OMAP-4430) and Qualcomm SOCs
Professional Experience:
Robert Bosch LLC November 2022 - Present, Plymouth, Michigan
Sr DevOps Engineer
Responsibilities
• Architected Terraform scripts that automated infrastructure provisioning, leading to a reduction in manual errors by 75% and establishing a robust framework for future project scalability across teams.
• Implemented multi-container application deployment strategies using Kubernetes (EKS Cluster) and Helm, streamlining configuration management and operational efficiency for ADAS applications.
• Maintained monitoring and logging solutions, including Prometheus, Grafana, and the ELK stack, resulting in a 35% improvement in issue detection and resolution times for Kubernetes clusters and applications.
• Triaged platform issues, including core dumps and permission errors, using QNX tools (slog2info, pidin, top), IOFUNC issues leading to efficient resolution of system bugs and enhancing platform stability by 15%.
• Integrated and validated Snapdragon Neural Processing Engine (SNPE) feature on QNX, developing bash scripts for comprehensive system testing, contributing to successful AI processing unit deployment.
• Python automation scripts for QNX/Android tests.
MindLance Inc October 2021 - July 2022, San Diego USA
DevOps Engineer
Responsibilities
• Developed robust Ansible playbooks to streamline multi-tier application deployments, enhancing environment consistency and decreasing deployment times by 40%.
• Established and enforced Kubernetes security best practices, deploying robust security controls that enhanced the protection of containerized environments, reducing security incidents by 20%.
• Implemented Terraform to automate creation of custom sized VPC, Subnets, and NAT, boosting deployment efficiency of web applications and database templates by 40%.
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Environment: Ansible, GIT, AWS, VMware,Shell, Linux, Unix, Python script, Shell script, Kubernetes, Docker, Terraform & Jenkins
MindLance Inc February 2018 - May 2021, San Diego, USA
DevOps Engineer
Responsibilities
• Improved container management by streamlining Docker image versioning, enhancing consistency across deployed environments by 30%.
• Streamlined software release cycles by implementing Jenkins CI/CD pipelines integrated with SonarQube, Nexus, and Terraform, increasing deployment frequency by 40%.
• Provisioned AWS environments, including EC2 instances, VPCs, and Security Groups, enhancing infrastructure stability and reducing setup time by 30%.
• Led system integration and debugging issues for Qualcomm chipsets on QNX, Android, and Linux
Aricent Technologies September 2011 - July 2016, Hyderabad
Lead Engineer
Responsibilities
• Triaged audio functionalities (Voice, Device Switching, Playback, Tunnel Playback, FM, Sub System Restart, AOA, Calibration) for Qualcomm chipsets (8939, 8916, 8909) across Android versions (GB, ICS, JB, KitKat, Marshmallow).
• Automated sync and build processes using scripts integrated into Jenkins CI/CD pipelines, improving build efficiency by 20% and facilitating seamless integration and testing.
• Resolved regression issues in audio functionalities with GDB, QPST, and QXDM, ensuring delivery of audio patches and enhanced audio performance across Qualcomm targets.
• Executed CTS (Compatibility Test Suite), Monkey, and Stress Runs for multiple Qualcomm targets, optimizing system performance and ensuring robust functionality under stress conditions.
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L&T Infotech Limited December 2006 - August 2011, Mumbai
Sr. Software Engineer
Responsibilities
• Optimized Audio Device Driver for OMAP2430 SDP, resulting in a 15% increase in overall driver efficiency and reduction in latency.
• Analyzed, coded, and debugged UDP/IP stack for optimal performance, ensuring 10% higher reliability through rigorous feature testing.
• Improved performance of I2C EEPROM Driver on Intel IXP425 SOC with efficient MAC address handling for MII interfaces, optimizing network device reliability by 15%.
• Executed test cases for Establish Management System (EMS) modules (Car Parking, Hotel Reservation, Welcome Board), ensuring 100% system accuracy through backend SQL query testing.
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