Senior Devops Change Management

Geddam Taman

Senior DevOps Cloud/SRE Engineer

Phone: 513-***-****

Email: *************@*****.***

PROFESSIONAL SUMMARY

8+ years of IT experience in DevOps Implementation, Ansible SME, Cloud computing, Systems Administration, Migration, Change Management, Software Configuration Management (SCM) and Build & Release engineering and including experience in services based on continuous delivery and build with cloud services like AWS and Azure development in Windows and Linux systems.

Worked in System Administration, System Builds, Server builds, Installs, Upgrades, Patches, Migration, Troubleshooting, Security, Backup, Disaster Recovery, Performance Monitoring, Fine-tuning on RedHat Linux.

Expertise in Cloud Infrastructure Automation which includes Amazon Web Services, OpenStack, Ansible, Puppet, Maven, Jenkins, Chef, SVN, GitHub, WebLogic, Tomcat, JBoss, and LINUX etc.

Solid experience and understanding of designing and operationalization of large-scale data and analytics solutions on Snowflake Data Warehouse.

Middleware & application server technologies such as WebLogic, WebSphere, JBoss, Apache/HTTP Server, Tomcat, and Disintegrating security into SDLC and implementing security controls in cloud and on-premises.

Experience with Atlassian tool suite, including Jira, Confluence, Bitbucket, Bamboo, and Crowd.

Extensively worked with CI/CD pipelines using Jenkins, Maven, Nexus, GitHub, CHEF, Terraform and AWS.

Managed available and fault-tolerant systems in AWS, through various API's, console operations and CLI.

Familiarity with IAM compliance requirements and standards, such as HIPAA, PCI DSS, and SOC 2.

Expertise in Terraform for building, changing, versioning infrastructure and collaborating with the automation of AWS Infrastructure via Terraform and Jenkins.

Hands on experience in Azure Automation Assets, Graphical runbooks, PowerShell runbooks that will automate specific tasks.

Expertise in Azure infrastructure management (Azure AD, Azure Web Roles, Worker Roles, SQL Azure, AZURE Storage, Azure AD Licenses, Office365).

Virtual Machine Backup and Recover from a Recovery Services Vault using Azure PowerShell and Portal.

Experience with SonarQube administration, including installation, configuration, and upgrades.

Experience in using Puppet to automate repetitive tasks, quickly deploy critical applications, proactively manage change, and create custom Puppet module skeletons.

Contributed to the open-source Golang community by developing and maintaining Golang libraries and tools.

Designed and implemented a highly scalable, fault-tolerant, and efficient microservices architecture using Golang, Docker, and Kubernetes.

Designed, implemented, and maintained secure and automated CI/CD pipelines to enable rapid and secure software delivery. Worked on Hudson/Jenkins for configuring and maintaining CI and End-to-End automation for all build and deployments. Implementation with installation and configuration of Kubernetes, clustering them and managed local deployments in Kubernetes.

Used Kubernetes for deployment scaling and load balancing to the application from development through production, easing the code development and deployment pipeline by implementing Docker containerization.

Worked on build, Ant, and Maven Build tools in Java Environment for building artifacts (war, jar & ear) files.

Proficient in leveraging HashiCorp tools like Terraform, Vault, Consul, and Nomad to build scalable, secure, and highly available infrastructure solutions.

Integrated Jenkins with Maven (Build tool), Git (Repo), SonarQube (code coverage), Nexus (Artifactory)

Implementing containerization using technologies like Docker and container orchestration platforms like Red Hat OpenShift. Developed and maintained CI/CD pipelines for Golang applications using Jenkins, GitLab CI/CD.

Extensive experience in managing and configuring Nginx, Apache Webservers, Apache Tomcat for seamless application deployment and performance optimization.

Installed and Managed Jenkins and Nexus for CI and sharing artifacts respectively within the company.

Expert in deploying code through web application servers like Web Sphere/Web Logic/Apache Tomcat/ JBOSS.

Expertise in all build/release engineering tasks associated with the component /software/ production releases. Prepared build scripts, build specs & applying label for the software builds.

Expertise in troubleshooting build problems as they arise & work with engineering team to resolve issues.

Developed and maintained Ansible playbooks for installing RPM packages on multiple Linux servers.

Monitored the server’s using tools like New Relic and Nagios and providing 24x7 on call support rotation basis. Experience in all phases of the project life cycle fit-gap analysis, design, testing and implementation.

Experience with all phases of testing including Unit, System, ITRB and user acceptance.

Experience with managing and coordinating infrastructure changes (Network, Servers, and Databases).

Expert in BCP, SOX, Security and RSAM, Archer Compliance and change and release management of applications.

Experience in troubleshooting IAM issues and performing security audits and risk assessments.

EDUCATION

Bachelor in Electronics and Communication Engineering

CERTIFICATIONS

Certified in Microsoft Azure Administrator Associate

Certified Kubernetes Administrator

Certified in AWS Developer

TECHNICAL SKILLS

Automation Tools and IAAC

Azure DevOps Pipelines, Jenkins, chef, Puppet, Ansible, Docker, Kubernetes, Vagrant, Maven, Terraform, Arm Templates, Hudson, Bamboo.

Cloud Platforms

AWS, Azure, Google Cloud Platform (GCP), OpenStack, Pivotal Cloud Foundry (PCF).

Database Systems

Cassandra DB, OracleDB2, MSSQL, MySQL, MongoDB, AWS RDS, DynamoDB.

Version Control tools

GIT, Subversion, CVS, Bitbucket, Gerrit, ClearCase

Web Servers

Tomcat, APACHE 2.x, 3.x, JBOSS 4.x/5.x, WebLogic (8/9/10), WebSphere4/5, TFS, Nginx, Azure, IIS, Redhat Satellite.

Scripting/Languages

Perl, Python, Ruby, Bash/Shell Scripting, PowerShell scripting, YAML, PHP, JSON

Virtualization Technologies

Docker Containers, AWS ECS, Vagrant, VMware

Application Servers

Web Logic Application server 9.x, 10.x, Apache Tomcat 5.x/7.x, Red Hat JBoss 4.22

Volume manager

VERITAS volume manager (VVM), Logical Volume Manager (LVM) with Linux

Monitoring Tools

Logstash and Kibana (ELK), CloudWatch, CloudTrail, Splunk, Nagios, Prometheus, Grafana.

Operating system

Linux (Red Hat 4/5/6/7, CENTOS & SUSE), Ubuntu 12/13/14, CentOS, Linux, Windows

PROFESSIONAL EXPERIENCE

Client: JPMC, Chicago, IL June 2023 – Till now

Role: Sr DevOps cloud Engineer

Responsibilities:

Led the automation efforts using Ansible for AWS infrastructure provisioning and configuration.

Created robust Ansible playbooks and roles for automating deployment and configuration tasks.

Orchestrated complex workflows integrating Ansible with AWS services, automating repetitive tasks.

Implemented centralized logging solutions and resolved network traffic and routing issues.

Successfully deployed and managed AWS services including EC2, ELB, RDS, Route53, S3, VPC, VPN, TGW, CloudWatch, CloudTrail, and Event Bridge.

Acted as a senior figure in Terraform and Ansible scripting, providing guidance and mentorship.

Led the implementation of Cloud Infrastructure automation, optimizing resource utilization.

Demonstrated proficiency in both Linux and Windows-based systems administration in a Cloud environment.

Provided critical inputs in the design and implementation of Cloud Networking strategies.

Demonstrated proficiency in designing complex Amazon Connect Contact Flows, leveraging advanced features to enhance customer interactions and streamline call routing processes.

Successfully customized and optimized the Connect Console interface to meet specific business requirements, improving agent productivity and user experience.

Extensive experience with the Amazon Connect Command Line Interface (CLI), automating repetitive tasks and efficiently managing Amazon Connect resources through script-based approaches.

Utilized Postman extensively for API testing and development, ensuring the seamless integration of various services and maintaining high standards of API functionality.

Successfully developed Amazon Connect Contact Flows and utilized Connect Console designer to enhance customer interactions.

Utilized Connect CLI for efficient management and automation of Amazon Connect resources.

Implemented robust testing procedures using Postman, ensuring the reliability of web services and REST services.

Demonstrated proficiency in Python for scripting and automation tasks, enhancing development efficiency.

Integrated diverse systems through API development, streamlining communication between applications.

Leveraged Lambda functions for serverless computing, optimizing resource utilization and scalability.

Designed and implemented DynamoDB solutions, ensuring efficient data storage and retrieval.

Spearheaded the development of Amazon Connect Contact Flows, enhancing customer engagement.

Employed Connect Console designer to create customized solutions aligned with project requirements.

Utilized Connect CLI for streamlined management of Amazon Connect infrastructure.

Conducted thorough testing using Postman, ensuring the reliability and functionality of web services.

Applied Python scripting for automation, significantly reducing manual intervention in deployment processes.

Implemented API solutions to facilitate seamless communication between different systems.

Leveraged Lambda functions to achieve serverless architecture and improve system scalability.

Developed and maintained DynamoDB databases, optimizing data storage and retrieval.

Developed and maintained Python scripts for automation purposes, contributing to the efficiency of various operational processes within the AWS environment.

Integrated diverse web services into AWS solutions, ensuring smooth communication between different components of the system and enhancing overall functionality.

Implemented RESTful services, adhering to best practices and standards, and facilitating interoperability between systems in a scalable and maintainable manner.

Designed, developed, and managed APIs, providing a secure and standardized interface for seamless communication between applications and services.

Optimized AWS Lambda functions for better performance and cost efficiency, fine-tuning resource allocation and maximizing the benefits of serverless architecture.

Demonstrated expertise in designing efficient DynamoDB schemas, optimizing for query performance, and ensuring scalability for high-throughput applications.

Leveraged Amazon Quick Sight for intuitive and insightful reporting, creating visually appealing dashboards to present key performance indicators and facilitate data-driven decision-making.

Proven ability to troubleshoot and debug issues in Amazon Connect configurations, Lambda functions, and DynamoDB setups, ensuring robustness and reliability of deployed solutions.

Actively pursued ongoing learning opportunities, staying abreast of the latest updates in Amazon Connect, AWS services, and industry best practices to contribute to a culture of continuous improvement.

Collaborated seamlessly with cross-functional teams, including developers, system architects, and business stakeholders, to align technology solutions with business objectives.

Maintained comprehensive documentation for developed solutions, ensuring clarity and ease of understanding for team members, auditors, and other stakeholders.

Successfully managed large-scale migrations, ensuring minimal downtime and data integrity.

Collaborated with development teams to ensure seamless integration of automation workflows.

Conducted training sessions on Ansible best practices and AWS infrastructure management.

Collaborated with cross-functional teams, including Business Analysts, Technical Writers, and QA, to gather and refine system requirements, ensuring a comprehensive understanding of project needs.

Conducted thorough code reviews for Amazon Connect Contact Flows, Lambdas, and DynamoDB, implementing best practices and ensuring code quality and consistency.

Spearheaded initiatives to enhance system resilience, implementing fault-tolerant designs and optimizing resource utilization for improved scalability.

Played a key role in the migration of legacy systems to AWS, leveraging expertise in AWS services to streamline processes and achieve cost savings.

Developed and maintained comprehensive documentation for code, deployment processes, and system architecture, contributing to knowledge sharing and onboarding of new team members.

Actively participated in the design and implementation of CI/CD pipelines, automating the testing and deployment processes, resulting in a more efficient and reliable release cycle.

Implemented monitoring solutions for AWS resources, leveraging tools like CloudWatch and custom alerts, to proactively identify and address potential issues, minimizing downtime.

Collaborated with security teams to ensure adherence to security best practices, implementing encryption mechanisms and access controls to safeguard sensitive data.

Facilitated knowledge-sharing sessions within the team, conducting workshops on AWS best practices, coding standards, and emerging technologies, contributing to continuous learning.

Led the troubleshooting and resolution of critical production issues, demonstrating a quick response and resolution time, and providing valuable insights for preventive measures.

Successfully developed Amazon Connect Contact Flows and utilized Connect Console Designer to enhance customer interactions.

Utilized developer tools such as Connect CLI and Postman to streamline development processes.

Implemented and maintained web services, REST services, and APIs to facilitate seamless communication between various components.

Hands-on experience with Python scripting for automation and efficiency improvements.

Designed and developed Lambda functions for serverless architecture, enhancing scalability and reducing operational overhead.

Environment: Azure, Terraform, Kubernetes, Ansible, Shell, Python, Linux, Jira, Bitbucket, My SQL, Jenkins, Apache Tomcat 7. x, Azure-DevOps, Docker, NoSQL, ARM Templates, Virtualization, Kubernetes, Nagios, Splunk, App Dynamics Nguni, LDAP, JDK1.7, XML, SVN, Git, Windows, Maven.

Client: Northern Trust, Chicago, IL Mar 2022 – May 2023

Role: Sr DevOps cloud Engineer

Responsibilities:

Implemented and managed CI/CD pipelines using Gitlab and Jenkins for automated software delivery.

Developed Ansible playbooks and roles to automate configuration management and system maintenance tasks.

Collaborated with cross-functional teams to design and implement FedRamp compliant projects.

Led the development of Amazon Connect Contact Flows, enhancing customer engagement and support processes.

Demonstrated proficiency in Connect Console Designer for creating intuitive and effective contact flows.

Leveraged developer tools, including Connect CLI and Postman, to expedite development tasks.

Implemented web services, REST services, and APIs to establish robust communication channels.

Utilized Python scripting for automation, improving overall system efficiency.

Developed and maintained Lambda functions, contributing to a scalable and cost-effective architecture.

Implemented DynamoDB for optimized data storage and retrieval, improving system responsiveness.

Implemented DynamoDB for efficient data storage and retrieval, optimizing system performance.

Played a key role in the DevOps code promotion process, ensuring smooth and reliable deployments.

Collaborated with cross-functional teams, demonstrating strong teamwork and adaptability in a dynamic environment.

Actively participated in Agile methodology, contributing to sprint planning, stand-ups, and retrospectives.

Leveraged strong analytical skills to troubleshoot issues and optimize system performance.

Played a pivotal role in the DevOps code promotion process, ensuring reliable and consistent deployments.

Excelled in Agile methodologies, actively participating in sprint activities and contributing to continuous improvement.

Collaborated seamlessly with diverse teams, showcasing strong communication skills at all levels.

Led the development of Amazon Connect Contact Flows, resulting in improved customer interaction and satisfaction.

Applied innovative solutions using Connect Console designer to address specific project requirements.

Efficiently managed Amazon Connect resources with Connect CLI, automating routine tasks for increased productivity.

Conducted comprehensive testing through Postman, ensuring the reliability and efficiency of web services.

Implemented Python scripts for automation, reducing deployment time and minimizing errors.

Developed and maintained API solutions, enhancing communication between different modules.

Successfully utilized Lambda functions for serverless architecture, optimizing system scalability.

Designed and implemented DynamoDB databases, ensuring optimal data storage and retrieval.

Worked on AWS Infrastructure services, optimizing performance and ensuring security compliance.

Participated in code release and production deployment, ensuring a streamlined and efficient process.

Provided strong contributions to solving complex routing issues and DNS configurations.

Demonstrated agility in fixing bugs and defects, contributing to the overall stability of the system.

Conducted regular performance assessments, identifying and resolving bottlenecks in CI/CD pipelines.

Maintained an aggressive approach to bug fixing and defect resolution, ensuring system stability.

Led the implementation of disaster recovery strategies, reducing recovery time in case of failures.

Implemented advanced security measures, including multi-factor authentication and encryption.

Led the implementation of advanced monitoring solutions for AWS resources.

Extensive experience with AWS services, including EC2, ELB, RDS, Route53, S3, VPC, VPN, TGW, CloudWatch, CloudTrail, Event Bridge, etc.

Proficient in orchestrating complex workflows and integrating Ansible with AWS services for streamlined automation.

Strong background in creating Ansible playbooks and roles to automate deployment, configuration management, software provisioning, and system maintenance tasks.

In-depth knowledge of Ansible Tower and AAP (Ansible Automation Platform), contributing to efficient automation processes.

Hands-on experience in Infrastructure as Code (IaC) deployments using Terraform, ensuring scalable and consistent infrastructure.

Proven track record of building CI/CD pipelines using GitLab and Jenkins, enabling seamless integration and deployment automation.

Senior-level scripting skills in Ansible for efficient and reliable automation scripts.

Expertise in scripting languages such as Shell, Python, Ruby, and PowerShell for DevOps automation.

Successful implementation of large-scale data center migrations to cloud infrastructure.

In-depth understanding of centralized logging, network traffic, routing, and security groups.

Proficient in solving routing issues and ensuring secure cloud environments.

Spearheaded the automation of AWS infrastructure using Ansible playbooks, resulting in a 30% reduction in deployment time.

Led the implementation of CI/CD pipelines, enhancing the development lifecycle and ensuring faster release cycles.

Successfully migrated a data centre to the cloud, leveraging Terraform for IaC deployments.

Developed and maintained comprehensive documentation for CI/CD and deployment processes.

Involved in three different development teams and multiple simultaneous software releases.

Configured and monitored Amazon Web Services resources as well as involved in deploying the content cloud platform to Amazon Web Services using EC2, S3 and EBS.

Migrated an existing on-premises application to AWS using AWS Snowball, Ansible, and Terraform.

Communication between components and DB is also made secure by enabling SSL in the SQL server.

Developed shell scripts to automate the provisioning, configuration, and deployment of infrastructure resources using tools like Ansible, Puppet, or Chef. This includes setting up servers, networking, storage, and other components needed for application deployment.

Create shell scripts to support continuous integration and continuous deployment (CI/CD) pipelines. These scripts would help build, test, and deploy applications in an automated and efficient manner. Involved automating the build, testing, and deployment processes for applications written in Golang, ensuring smooth and efficient releases.

Utilized Golang expertise to develop and maintain automation tools, scripts, and services. Build custom applications, microservices, or command-line interfaces (CLIs) using Golang to streamline various processes within the DevOps workflow.

Develop automation scripts using languages such as Python, Bash, or PowerShell to orchestrate the CI/CD processes. These scripts would facilitate tasks such as code compilation, unit testing, integration testing, packaging, and deployment.

Launched and configured Amazon EC2 Cloud Servers using AMI's and Configured S3 versioning and lifecycle policies to backup files and archive files in Glacier. Configured AWS IAM and Security Group in Public and Private Subnets in VPC.

Used TFS as a build tool on C# projects for the development of build artifacts on the source code.

Created Load Balancer sheet to describe the number of listeners, target groups, targets for a load balancer. Including ports, protocols, site certificates and DNS friendly names.

Provided Firewall rules and security groups for the load balancers to components.

Managed the deployment and implementation of deliverables into DEV, QA, UAT and production environments.

Solid understanding of Project Life Cycle Management and strong experience of working of AGILE Methodologies. understanding Agile Tools Rally, tracking status, and setting up velocities for the projects.

Proficient in writing Terraform files to build the AWS with the paradigm of Infrastructure as a Code.

Implemented Terraform modules for EC2 Machines, Elastic Load Balancing, EKS Cluster, Azure VM, Azure Data Factory, AKS and releasing those modules into GitHub Enterprise Server.

Build Customized Amazon Machine Images (AMIs) & deployed these customized images based on requirements.

Using Bash and Python included Boto3 to supplement automation provided by Ansible and Terraform for tasks such as encrypting EBS volumes backing AMIs.

Involved in using Terraform migrate legacy and monolithic systems to Amazon Web Services.

Provided security and managed user access and quota using AWS Identity and Access Management (IAM), including creating new Policies for user management.

Created and maintained cloud application migrated on premises application servers to AWS.

Design AWS Cloud Formation templates to create custom sized VPC, subnets, S3 to ensure successful deployment of Web applications and database templates.

Involved in installation, configuration, and maintenance of Octopus for compilation and packaging of new code releases.

Environment: AWS, S3, EBS, Elastic Load balancer (ELB), Auto Scaling groups, C#. Net, MS Visual Studio 2012, IIS 6.0, AWS Cloud Server, SQL Server 2012, SQL Server 2008 R2, TFS, Octopus, Power Shell scripting, Windows, and Linux environment.

Client: Wipro, IN Aug 2018 – Nov 2022

Role: DevOps Engineer

Responsibilities:

Specialized in Ansible Tower and AAP, orchestrating automation workflows in the AWS environment.

Developed advanced Ansible playbooks for software provisioning and configuration tasks.

Led the implementation of Cloud Networking, optimizing communication between AWS services.

Ensured compliance with security groups, implementing robust security measures in the Cloud.

Played a senior role in Terraform scripting, ensuring scalable and efficient IaC deployments.

Demonstrated expertise in CloudWatch, CloudTrail, and EventBridge for comprehensive monitoring.

Actively contributed to the design and implementation of a centralized logging system.

Worked closely on FedRamp compliant projects, understanding and implementing stringent security requirements.

Led a team of engineers in the successful execution of large-scale AWS infrastructure migrations.

Implemented automated scaling solutions, optimizing resource allocation based on demand.

Creating a fully Automated Build and Deployment Platform, coordinating code builds promotions, and orchestrating deployments using Jenkins and GitHub.

Deployed Microservices, including provisioning AWS environments using Ansible Playbooks.

Worked on container-based deployments using Docker and clustering them within OpenShift.

Designed a Rapid deployment method using Chef and Ansible to auto-deploy servers as needed.

Extensively worked on Jenkins for continuous integration and End-to-End automation for all builds and deployments.

Involved in Amazon Web Services (AWS) provisioning and AWS services like EC2, S3, RDS, DynamoDB, VPC, Route53, CloudWatch, CloudFormation, IAM, and Elasticsearch.

Managed GIT and GitHub repositories for branching, merging, and tagging.

Involved heavily in setting up the CI/CD pipeline using Jenkins, Maven, Nexus, GitHub, Ansible, Terraform, and AWS.

Environment: AWS, Docker, Kubernetes, OpenStack, ANT, Maven, SVN, GIT, GitHub, Chef, Puppet, Ansible, Linux, Shell, Bash, Perl, Grafana, Jenkins, Tomcat, Jira.

Client: IBM, IN Mar 2016 – July 2018

Role: DevOps Engineer

Responsibilities:

Used Jenkins as a continuous integration tool: creating new jobs, managing required plugins, configuring the jobs selecting required source code management tools, building triggers, building system, and post-build actions, scheduling automatic builds, and notifying the build reports.

Develop/Improve continuous integration and automation scripts and perform database deployments.

Responsible for troubleshooting environmental issues.

Implementing Continuous Integration and Continuous Delivery framework using SVN, Bitbucket,

ANT, Maven, Jenkins, Bamboo, Nexus, Control Tier, Make in Linux environment.

Worked on creating various modules and automation of different facts in Puppet, adding nodes to enterprise Puppet Master and managing Puppet agents. Making Puppet manifests files and implementing Puppet to convert IaC.

Integrated Bitbucket with JIRA for transition JIRA issues from within Bitbucket Server and monitored the JIRA issues in Bitbucket Server.

Set up the Linux Cron jobs to automate various build-related and application data synchronization jobs.

Install, maintain, and upgrade Drupal and Word press on LAMP stack and configure LAMP Stack on Unix/Linux servers.

Built and managed a highly available monitoring infrastructure to monitor different application servers and their components using Nagios.

Designed and scripted using Ant for J2EE, Web Services, Reusable JARS, Web Client, and Open Source to create Master build.xml build Properties and provided technical support to the development team for compilation problems.

Environment: Linux, Windows, Tomcat, Jira, JBoss, Puppet, Puppet, Ant, Maven, SVN, Bitbucket, Nagios, Java, Shell Scripting, Python, Bash, Java, Agile, Scrum.

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