Home

Srinath D - DevOps engineer

[email protected]

Location: Dallas, Texas, USA

Relocation: done with project

Visa: H1B

Resume file: Resume_Srinath_D_1774044915644.docx Please check the file(s) for viruses. Files are checked manually and then made available for download.

Professional Summary: Overall 11+ years of experience in Cloud Technology working as a DevOps/BizOps Engineer, where I worked extensively on Amazon Web Services, Google Cloud Platform, Software Configuration Management, Build Release Management, Infrastructure Management, implementing CI/CD, Systems Administration, and orchestration of various environments. Experience in Infrastructure Development and Operations involving AWS Cloud Services, EC2, EBS, VPC, RDS, SES, ELB, Lambda, DynamoDB, Auto scaling, CloudFront, Cloud Formation, Elastic Cache, S3, IAM, API Gateway, Route 53, Cloud Watch, SQS, and SNS. Experience in Google Cloud Platform (GCP) Services, Like Compute Engine, Cloud Functions, Cloud DNS, Cloud Storage, Cloud Deployment, and Big Query, network (VPC, Subnets, firewall rules), security key management, auto-scaling using Kubernetes and Docker. SaaS, PaaS, and IaaS concepts of Cloud computing architecture and Implementation using GCP. familiar with software development life cycles (SDLC), Agile, Scrum, Jira, and Waterfall methodologies. Proficiently utilized GitLab CI/CD pipelines to automate the build, testing, and deployment processes. Extensive experience in setting up CI/CD pipelines using tools such as Jenkins, Maven, Docker, Nexus, Artifactory, Slack, and Azure pipelines. Proficient in automation tools such as Puppet, Terraform, Ansible, alongside deployment tools like Git and Bitbucket. Expertise in using CloudFormation and Terraform for deploying to Cloud Infrastructure. Installed and configured Nagios monitoring, Splunk, and Datadog services on UNIX servers, effectively ensuring comprehensive monitoring and logging capabilities. Proficient in using build tools like Ant, Maven, Artifactory, Nexus, and Gradle for writing POM.XML build scripts, enhancing the development and deployment processes. Hands-on experience in scripting languages such as Groovy, JSON, YAML, and Bash Shell scripting. Experience in code quality and code coverage tools such as SonarQube and JUnit. Strong knowledge in Tomcat, WebLogic servers on different Operating Systems like Windows, Linux, VMware, UNIX, and Solaris platforms. Expertise in App Containerization technology, Docker, creating Docker images, Containers, Docker Registry to store images, cloud-based registry Docker Hub, Docker Swarm to manage containers. Used Kubernetes to manage containerized applications using its nodes. Proficient knowledge of Helm charts to manage and release Helm packages. Experience in RDS, SQL, PostgreSQL, MySQL, and DynamoDB to perform basic database administration and manage virtual cloud resources as required, with an overall objective of improving scalability, performance, reliability, and highly available fault- tolerant cloud infrastructure. Implemented and managed NoSQL databases such as MongoDB, and Cassandra to handle unstructured or semi-structured data efficiently. TOOLS AND TECHNOLOGIES: Cloud Technologies/Infrastructure AWS, GCP, Azure, OpenStack Programming languages Python, Shell/Bash, Java, PowerShell, Node.js, Groovy, SQL, PL/SQL, jQuery, JavaScript, J2EE Version Control Tools GIT, Gitlab, GitHub, Bitbucket, SVN Build/Release (CI/CD) Jenkins, Maven, SVN, ANT, Gradle Configuration Management Tools Chef, Ansible, Puppet, Terraform, TeamCity Container Platforms and Orchestration Docker, OpenShift, Kubernetes Repository and Artifacts Management Tools Nexus, JFrog, Amazon ECR, Microsoft ACR, GitLab Container Registry Monitoring Tools Nagios, Splunk, App Dynamics, CloudWatch, Grafana, Prometheus, ELK Security and Compliance HashiCorp Vault, Microsoft Defender, Qualys, Azure Active Directory, IPS Incident Management Tools ServiceNow, PagerDuty, Jira Service Management, Zendesk Web/Application Servers Tomcat, WebLogic, Nginx, JBoss, Apache HTTP Server, IIS, Microsoft ASP.NET Data Analytics Hadoop, Spark Databases SQL, MySQL, MS SQL Server, MongoDB, Cassandra, Snowflake, Oracle, PostgreSQL, Redis, Dynamo DB, HBase. Networking/Protocols Kafka, SOAP, REST API, SSL/TLS, Routing Protocols, VPN, Subnets, DNS, FTP/TFTP, WAN, LAN, SMTP Testing Tools Selenium, Junit, Postman, SonarQube, TestNG Operating Systems Linux, Ubuntu, RHEL, Windows, MacOS EDUCATION: Master of Science in Computer Science KSU, OHIO, USA Bachelor of Science in ECE JNTU Hyderabad, India PROFESSIONAL EXPERIENCE: Client: Mastercard Inc August 2024 Current Role: Senior DevOps/SRE Engineer Responsibilities: Supported Mastercard Send Platform operations to maintain high availability and consistent processing of global transactions. Designed and provisioned scalable cloud infrastructure on AWS using Terraform, deploying containerized workloads on EKS and ECS with Kubernetes orchestration for high availability and efficient resource utilization. Validated batch jobs and reconciliation workflows, cutting settlement delays and improving operational accuracy. Executed production changes under strict change-management controls, ensuring zero disruption to critical payment flows. Worked directly with engineering and infrastructure teams to isolate and resolve production issues, restoring service stability quickly. Handled P1/P2 incidents during on-call rotations with fast triage, clear updates, and controlled recovery steps. Created complete SOPs for alert handling, reducing escalations, and improving response quality across L1/L2 teams. Led container platform implementation using AWS EKS, ECS, and Kubernetes, including cluster setup, networking, autoscaling strategy, and production workload onboarding. Supported reconciliation timelines for the US, Brazil, and Singapore by validating settlement files and transaction totals. Performed deep transaction-flow analysis to identify root causes across APIs, batch processes, and downstream systems. Built automation scripts to trace end-to-end transaction status, significantly speeding up investigations. Designed Splunk and Dynatrace alerts and dashboards to catch transaction drops, latency issues, and service degradations earlier. Reduced alert noise by tuning thresholds and removing non-actionable events from on- call workflows. Authored DR documentation for 2025 with clear failover, validation, and recovery procedures for mission-critical services. Closed high-impact customer work orders by identifying the true failure point and documenting corrective action. Standardized triage workflows for on-call teams improve consistency and lower the time to locate failing components. Ran proactive health checks across APIs, queues, integrations, and batch pipelines to detect issues before customer impact. Environment: Remedy, Splunk, Oracle Database, Bitbucket, XL Release (XLR), Jenkins, Dynatrace, Chef, Confluence, xMatters, PCF app manager, CyberArk, Akamai, Apache, Iteration Dashboards Client: Ernst & Young (Remote) September 2021 August 2024 Role: Senior Cloud/SRE Engineer Responsibilities: Orchestrated a hybrid cloud infrastructure, harmonizing AWS and on-premises servers via OpenStack. Engineered tailored solutions in Azure, optimizing resource efficiency through key services such as AWS EC2 and strategic Azure offerings. Led the design and automation of AWS infrastructure using AWS CloudFormation and Terraform, ensuring rapid and consistent deployment of resources across environments. Implemented robust security measures leveraging AWS IAM, KMS, and Security Hub to safeguard data and applications against unauthorized access and breaches. Leveraged AWS services like EC2, S3, VPC, EBS, Route 53, Lambda, CloudTrail, CloudWatch, Config, and Inspector to ensure high availability, fault tolerance, comprehensive logging, monitoring, and alerting. Conducted regular security assessments, enabling real-time detection and response to security incidents, and ensuring compliance with industry regulations. Drove operational excellence by creating Python automation scripts for efficient infrastructure provisioning. Applied Shell/Bash scripts to automate system-level tasks, significantly enhancing workflow automation. Implemented production-grade container orchestration on AWS EKS and ECS, improving system resilience, deployment speed, and horizontal scalability for distributed services. Facilitated collaborative development with GitLab, ensuring version control and cohesive teamwork. Implemented Jenkins for automated builds, optimizing project efficiency through continuous integration. Optimized Kubernetes cluster performance and cost by tuning node groups, resource requests/limits, and autoscaling policies using infrastructure-as-code with Terraform. Enhanced project efficiency by orchestrating CI/CD pipelines with Jenkins, automating testing and deployment. Expertly managed Maven for streamlined build processes in Java projects, ensuring consistency. Transformed server management by automating configuration with Ansible, ensuring uniform and consistent server setups. Pioneered the use of Terraform for Infrastructure as Code (IaC), optimizing resource provisioning and management for enhanced scalability and efficiency. Led the orchestration of containerized applications using Kubernetes, optimizing deployment and scalability. Employed Docker for efficient containerization, ensuring uniformity across diverse environments and enhancing project consistency. Efficiently managed project artifacts using JFrog Artifactory, ensuring meticulous version control and traceability. Implemented GitLab Container Registry for secure and scalable storage of container images, enhancing project reliability and deployment efficiency. Orchestrated seamless integration of diverse databases, including MySQL, MongoDB, and PostgreSQL, to create a unified and efficient data ecosystem. Implemented robust monitoring with Prometheus and Grafana for detailed performance insights. Integrated ELK (Elasticsearch, Logstash, Kibana) for real-time log analysis, enhancing system visibility and issue resolution. Executed precise access management and compliance checks through Azure Active Directory, ensuring a secure authentication environment. Implemented HashiCorp Vault for meticulous secrets management, fortifying data protection and access security. Established incident response with ServiceNow for swift issue resolution. Integrated PagerDuty for timely alerts and efficient on-call rotations, optimizing incident workflows. Managed Nginx servers for load balancing and web application delivery, ensuring optimal performance. Utilized Tomcat for Java application server management, enhancing efficiency in the project. Secured project communications through SSL/TLS protocols, ensuring data integrity. Implemented VPN solutions for secure network connections, enhancing overall security measures. Environment: AWS, OpenStack, Python, Shell/Bash, Gitlab, Jenkins, CI/CD, Maven, Java, Terraform, Kubernetes, Docker, MySQL, MongoDB, PostgreSQL, JFrog, Grafana, Prometheus, ELK, HashiCorp Vault, ServiceNow, PagerDuty, Nginx, Tomcat, VPN and SSL/TLS. Client: Sallie Mae, Sterling, VA January 2019 August 2021 Role: Senior DevOps/SRE Engineer Responsibilities: Led the development of CI/CD pipelines on GCP, utilizing services like Google Cloud Build, GKE, and Google Cloud Storage to optimize software delivery processes. Implemented key GCP services such as Google Cloud Deployment Manager, Cloud SQL, Big Query, Cloud Storage, GCE, and Google Cloud Monitoring within CI/CD pipelines, ensuring robust infrastructure provisioning and monitoring for reliable application deployments. Experience in designing and implementing scalable and fault-tolerant architectures on GCP, utilizing services like Cloud Load Balancing, Cloud CDN, Cloud Armor, and Cloud Spanner. Championed the adoption of GCP tools for CI/CD pipeline development, driving innovation and streamlining software delivery processes across the application lifecycle. Orchestrated the development of CI/CD pipelines on GCP and OpenStack environments using Jenkins and ANT, ensuring efficient and automated software delivery across multiple platforms. Enhanced project efficiency with Python automation scripts for streamlined infrastructure provisioning. Utilized Java for building scalable applications, ensuring robust performance. Managed version control with GitHub, ensuring efficient code collaboration and implementing Git best practices for streamlined development. Implemented Jenkins for continuous integration, automating builds and testing to enhance project efficiency. Configured CI/CD pipelines with Gradle, ensuring streamlined and efficient Java builds throughout the project lifecycle. Automated server configuration with Ansible for consistent setups. Utilized Terraform for Infrastructure as Code to efficiently manage cloud resources in the project. Orchestrated containerized applications with Kubernetes for scalability. Utilized Docker for containerization and portability, contributing to seamless deployment in the project. Managed artifacts with JFrog Artifactory, ensuring version control and traceability. Configured GitLab Container Registry for Docker image storage, enhancing project reliability. Implemented advanced monitoring with Splunk for log analysis and visualization. Utilized AppDynamics for efficient application performance monitoring, ensuring optimal functionality in the project. Integrated security measures with Qualys for effective vulnerability management, fortifying project defenses. Ensured compliance with regulatory standards through rigorous security best practices in the project. Ensured robust security measures and compliance standards across SQL, MongoDB, and Redis databases, maintaining data integrity and confidentiality. Managed incident response with Jira Service Management for timely issue resolution. Integrated Zendesk for streamlined ticketing and customer support, optimizing incident workflows in the project. Configured WebLogic servers for Java application deployment, optimizing project performance. Utilized Nginx for load balancing and reverse proxy, enhancing server reliability in the project. Applied advanced skills in Hadoop to design and implement scalable data processing architectures, ensuring optimal performance and data-driven insights. Established secure communication using SSL/TLS protocols, fortifying data integrity. Implemented REST API standards for efficient service communication, optimizing connectivity in the project. Environment: GCP, OpenStack, Python, Java, GitHub, Git, Jenkins, Gradle, Ansible, Terraform, Kubernetes, Docker, JFrog, Gitlab, SQL, Redis, MongoDB, Splunk, AppDynamics, Hadoop, Qualys, Jira, Zendesk, WebLogic, Nginx, SSL/TLS, REST API. Client: WellCare - Tampa, FL June 2017 December 2018 Role: AWS DevOps Engineer Responsibilities: Implemented and optimized AWS cloud infrastructure, enhancing scalability and reliability for the project. Leveraged OpenStack for hybrid cloud solutions, ensuring seamless integration with on-premises resources and optimizing overall project flexibility. Enhanced project efficiency with Python scripts for AWS resource provisioning. Utilized Shell/Bash for automating AWS operations, streamlining tasks in the project. Managed source code collaboration and version history with Git, ensuring streamlined development. Implemented Jenkins CI/CD pipelines for automated build and deployment, optimizing project workflows in the process. Orchestrated CI/CD pipelines with Jenkins, ensuring automated testing and seamless deployment in the project. Utilized Maven for building and managing Java applications, optimizing project builds and maintaining robust Java applications. Automated infrastructure configuration with Chef for consistency and efficiency in the project. Employed Terraform for Infrastructure as Code (IaC) to manage AWS resources, optimizing scalability and resource utilization. Implemented Docker for efficient containerization, ensuring consistent deployment across project environments. Orchestrated containers in AWS using Kubernetes for scalable and resilient applications, contributing to project reliability and scalability. Efficiently managed artifacts with Nexus, ensuring version control and traceability for the project. Utilized Amazon ECR for secure and scalable container image storage, enhancing project reliability and deployment efficiency. Implemented CloudWatch for proactive monitoring of AWS resources in the project. Integrated Grafana for visualizing and analyzing performance metrics, enhancing insights throughout the project lifecycle. Utilized Spark to orchestrate and optimize large-scale data analytics pipelines, enhancing data processing speed and efficiency. Implemented resilient data replication and high availability configurations for critical databases like MS SQL Server and Oracle, minimizing downtime and ensuring data consistency across platforms. Ensured AWS infrastructure compliance with AWS IAM and implemented security best practices in the project. Integrated Microsoft Defender for robust endpoint security, enhancing overall project resilience and data protection. Established incident response processes using ServiceNow for effective resolution. Utilized PagerDuty for timely alerting and incident escalation, streamlining incident management workflows in the project. Configured and managed Nginx servers for optimal load balancing and web application delivery in the project. Utilized Tomcat for efficient Java application server management, ensuring seamless performance and reliability. Implemented FTP/TFTP protocols for secure file transfer and efficient data sharing. Administered WAN and LAN configurations for optimizing network performance. Environment: AWS, OpenStack, Shell/Bash, Python, Git, Java, CI/CD, Maven, Chef, Terraform, Docker, Kubernetes, Nexus, Amazon ECR, CloudWatch, Spark, MS SQL Server, Oracle, FTP/TFTP, WAN, LAN, Grafana, IAM, Microsoft Defender, ServiceNow, PagerDuty, Nginx, Tomcat. Client: Madwire, Fort Collins, CO August 2016 May 2017 Role: DevOps Engineer Responsibilities: Led the migration to Azure, optimizing infrastructure for enhanced scalability and cost efficiency. Strategically utilized AWS services for specific workloads and seamless integrations, ensuring optimal cloud performance. Developed Python automation scripts for streamlined infrastructure provisioning and configuration. Leveraged Node.js to build scalable and efficient applications, contributing to enhanced system performance. Effectively managed version control using Bitbucket, ensuring seamless code collaboration and optimal branching strategies. Implemented GitLab for continuous integration, automating builds and enhancing the development pipeline. Streamlined development workflows by orchestrating CI/CD pipelines through Jenkins, automating builds and rigorous testing. Leveraged ANT for Java builds and efficient deployment processes, ensuring a seamless and reliable release pipeline. Guided the adoption of Puppet for streamlined server configurations and terraform for efficient cloud resource management in an advocacy role. Led the orchestration of containerized applications using OpenShift, ensuring seamless Kubernetes-based deployment. Leveraged Docker for efficient containerization and streamlined application packaging. Effectively oversaw artifacts using JFrog Artifactory, ensuring meticulous version control and traceability. Implemented Docker image storage with GitLab Container Registry to enhance containerized workflows. Pioneered advanced monitoring solutions by integrating ELK (Elasticsearch, Logstash, Kibana) for comprehensive log analysis. Leveraged AppDynamics to ensure precision in application performance monitoring. Implemented stringent security measures, leveraging Qualys for thorough vulnerability management. Seamlessly integrated HashiCorp Vault for fortified secrets management and secure access control. Proficiently managed incident response and resolution procedures using Zendesk. Enhanced operational efficiency by seamlessly integrating Jira Service Management for streamlined ticketing and comprehensive tracking. Configured and optimized WebLogic servers for efficient Java application deployment. Implemented Nginx for effective load balancing and served as a reverse proxy, ensuring optimal application delivery. Implemented industry-standard REST API practices, enhancing communication efficiency, and ensuring secure interactions between services. Environment: Azure, AWS, Node.js, Bitbucket, Gitlab, Jenkins, CI/CD, ANT, Java, Puppet, Terraform, OpenShift, Docker, Kubernetes, JFrog, GCR, ELK, AppDynamics, Qualys, HashiCorp Vault, Zendesk, Jira Service Management, WebLogic, Nginx, REST API. Client: Berlitz Corp, Hyderabad, India June 2013 November 2015 Role: Build/Release Engineer Responsibilities: Administered on-premises infrastructure and optimized for efficient resource utilization. Leveraged Azure for specific workloads and seamless integration with on-premises systems. Developed automation scripts in Shell/Bash for system-level tasks and configuration. Utilized Java for building and maintaining scalable applications. Managed version control with SVN, ensuring code collaboration and version history. Utilized Git for source code management and collaborative development. Implemented build and release processes with ANT for Java projects. Utilized Maven for efficient Java builds and dependency management. Automated configuration management using Ansible for consistent server configurations. Utilized Puppet for configuration management and ensuring infrastructure consistency. Administered containerized applications using Docker, ensuring consistency across environments. Implemented container orchestration with Kubernetes for scalable and resilient deployments. Utilized Nexus for managing and distributing artifacts. Configured Amazon ECR for secure and scalable container image storage. Implemented monitoring solutions using Nagios for infrastructure health checks. Utilized ELK (Elasticsearch, Logstash, Kibana) for log analysis and visualization. Integrated security measures using Microsoft Defender for endpoint security. Ensured compliance with regulatory standards through security best practices. Managed incident response and resolution using ServiceNow. Integrated Jira Service Management for efficient ticketing and tracking. Administered and configured the Apache HTTP Server for web application delivery. Utilized IIS (Internet Information Services) for Windows-based application hosting. Environment: Azure, Java, SVN, ANT, Puppet, Nexus, Amazon ECR, Nagios, ELK, Linux, Unix, IIS, Apache HTTP, ServiceNow, Docker, Ansible, Kubernetes. CERTIFICATIONS: Google Associate Cloud Engineer AWS Certified Developer Associate Microsoft Certified Azure Developer Associate LinkedIn: http://www.linkedin.com/in/srinath-c-947aab299 Additional DevOps Skills: ArgoCD, GitOps, Helm, FinOps (Cloud Cost Optimization), Platform Engineering Keywords: cprogramm continuous integration continuous deployment javascript sthree database microsoft mississippi procedural language Colorado Florida Virginia