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Nitesh - Devops
[email protected]
Location: Avenel, New Jersey, USA
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Visa: H1B
Resume file: Nitesh.m_1771947548659.docx
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VASA NITESH
: [email protected]
: +918332991439

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Professional Summary:
Having a total of 10+ years of experience in IT industry as a DevOps Engineer / Cloud Architect / SRE /Build and Release Engineer.
Experience in working as a DevOps engineer for release automation to achieve Continuous integration, Continuous delivery, and Continuous deployment (CI and CD).
Designed and implemented CI/CD DevOps delivery system for the Linux teams, with an innovative test framework that allowed for significant reduction of capital expense requirements through equipment allocation and reuse.
Installed and Administered on Server, migrated Projects from Subversion to GIT.
Experience in maintaining AWS (Amazon Web Services) EC2 (Elastic Cloud Computing) resources like instances, EBS volumes, snapshots, Elastic Load Balancers (ELB), VPC, AMI's, security Groups, elastic IP's, Key pairs and Amazon Cloud watch for different zones in different environments.
Developed automation scripts using Python, Bash, and PowerShell to streamline deployment processes and manage cloud infrastructure.
Proficient in Bash, Python, Ruby, and PowerShell for automating and streamlining infrastructure management tasks.
Experience in writing Infrastructure as a code (laaC) in Azure resource management, AWS Cloud formation. Created reusable Terraform modules in both Azure and AWS cloud environments.
Worked in deploying desktop applications, web applications, websites, and console applications to the Microsoft Azure Cloud
Developed new RESTful API services that work as a middleware between our application and third-party APIs that we will used using Golang.
Expertise in pulling observability data from various managed services using Grafana, ensuring comprehensive monitoring and visibility into system performance.
Expertise in creating automation of Kubernetes cluster with CloudFormation templates and deploying them in AWS environment and monitoring the health of pods using Helm Charts.
Acted as SME for numerous applications.
GitLab includes security features such as code scanning, dependency scanning, and container scanning to identify and address security vulnerabilities in the codebase. It also provides compliance and audit features for tracking changes and user activities.
Expertise in DevOps, Release Engineering, Configuration Management, Cloud Infrastructure, Automation. It includes Amazon Web Services (AWS), Ant, Maven, Jenkins, Nagios, Docker, Puppet, Chef, SVN, Github, Linux etc.
Installed Jenkins Plug-ins for GIT Repository, Setup SCM Polling for Immediate Build with Maven and Maven Repository (Nexus Artifactory) and Deployed Apps using custom ruby modules through Ansible.
Extensive experience in creating and managing CI/CD pipelines using Jenkins, Azure Pipelines, GitLab, and GitHub Actions to ensure seamless deployment processes.
Automated infrastructure provisioning and application deployment using Terraform and Harness integration for end-to-end automation.
Facilitated daily stand-ups, sprint planning, and retrospectives, enhancing team collaboration and accelerating project iterations.
Implemented Istio Service Mesh for managing inter-service communication, improving reliability, and ensuring observability in microservices-based applications.
Expertise in handling Troubleshooting issues that may occur during the test cycle (Functional & load test) for the J2EE applications on Struts and Spring framework running on WebLogic/JBOSS servers.
Building/Maintaining Docker container clusters managed by Kubernetes Linux, Unix, Bash, GIT, Docker.
Experienced with build tools like Maven, ANT, and Entity Framework for developing deployable artifacts and data access layers.
Knowledgeable in ITSM practices and tools to enhance service delivery and support.
Working experience with Jenkins continuous integration Tools including installation, configuration of jobs, pipelines, security set up and process and integrated with tools like Ant and Maven to schedule the builds.
Created Jobs for Builds and Deployments, installed several Plugins in Jenkins to support multiple build eco systems required for the implementation of projects.
Managed and maintained Azure infrastructure components, including Virtual Machines, Virtual Networks, Application Gateways, and Storage Accounts.
Planned, configured, and deployed highly available on-premises infrastructure solutions to support mission-critical applications and services.
Specialized in provisioning the GCP Global HTTPS load balancer routes the traffic to GCP GKE cluster via Terraform modules.
Skilled in using tools like JIRA and ServiceNow (SNOW) for efficient task management and tracking.
Led cross-functional teams in project management roles, ensuring timely delivery of milestones, effective communication with stakeholders, and alignment with business objectives.
Developed and maintained CI/CD pipelines using GitHub Actions to automate the build, test, and deployment processes, ensuring efficient and reliable software delivery.
Utilized Harness dashboards to track deployment performance, success rates, and issue tracking, providing visibility for cross-functional teams.
Experienced in overseeing the entire release management process, ensuring timely and reliable software releases.
Managed release cycles for multiple applications, coordinating with development and operations teams to ensure smooth deployments and minimal downtime.
Efficiently handled periodic exporting of SQL Data into Elastic Search.
Have experience in provisioning infrastructure using Terraform.
Integrated Grafana with managed services like AWS CloudWatch and Azure Monitor to aggregate and visualize critical operational metrics.
Utilized cloud-based repositories such as GitHub, GitLab, and Bitbucket for version control and collaboration, ensuring code quality and consistency across development teams.
Containerized Spring Boot Java Microservices using Docker and created build lifecycles using Maven and Jenkins.
Implemented Dynatrace on different cloud technologies like AWS, Azure and GCP.
Experience in using Tomcat and JBoss Application servers for deployments.
Experience in using monitoring tools like Azure monitoring and Dynatrace to set up the desired alerts to avoid disruption.
Securing Active Directory root by monitoring alerts for domain level changes to systems and taking appropriate action in response.
Reviewed existing manual Software builds, developed scripts to automate repeated tasks that are more susceptible to errors and risk using Python and Shell Scripting.
Used Kubernetes to orchestrate the deployment, scaling, and management of Docker Containers.
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Technical Skills:
Cloud Platforms Amazon Web Services (AWS) (ECS, EKS, Lambda, IAM, AWS Secrets Manager, EC2, VPC, ELB, Route53, S3, RDS, CloudWatch), Microsoft Azure, Google Cloud Platform (GCP), OpenStack
CI/CD Tools Jenkins, GitHub Actions, Harness, Azure DevOps, GitLab CI/CD, CloudBees, Nexus, Visual Studio Team Services (VSTS), Concourse CI, Hudson, Bamboo
Configuration Management Terraform, Ansible, Chef, Puppet, Salt Stack
Version Control GIT, GITHUB, BITBUCKET, SVN
Orchestration Tools Kubernetes, OpenShift, Hashicorp Nomad, Helm Istio
Virtualization Docker, Vagrant, OpenStack
Monitoring Tools Prometheus, Grafana, CloudWatch, Datadog, Splunk, Nagios
Build & Testing Tools Maven, Ant, Gradle, Circle CI, Selenium, JUnit, NUnit, xUnit, Cucumber
Security Scanning Tools SonarQube, Fortify, Trivy, CodeQL, Checkov
Version Control GIT, GITHUB, BITBUCKET, SVN
Package Management Nexus, Artifactory, Jfrog, Maven
Operating Systems Linux (Red Hat 5/6), Ubuntu, CentOS, Windows, Unix
Programming Languages Python, Shell script, Java, JavaScript, XML, HTML, CSS, C++ (STL)
Databases MySQL, Oracle, PostgreSQL, MongoDB, ETL, Data Warehousing
Web & Application servers Apache Tomcat, Nginx, WebSphere, WebLogic
Issue Tracking JIRA, Bugzilla

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Certifications
AWS Certified Solutions Architect Associate
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Work Experience
Client : American Express, USA Jul 23- Till Date
Role : Lead DevOps Engineer
Responsibilities:
Automated Continuous Integration builds and continuous deployment for Azure infrastructure and applications.
Collaborated effectively with cross-functional teams and stakeholders to ensure seamless integration of infrastructure changes and meet project requirements.
Developed, maintained, and optimized CI/CD pipelines using Jenkins, with extensive use of Groovy scripting to automate and streamline deployment processes.
Implemented continuous delivery pipelines in Azure DevOps (VSTS) and designed APIs, working with REST-based microservices to deploy infrastructure and applications in environments like Demo, Test, PENTEST, Training, CTDEV, Sandbox, UAT, and PROD for MDR products.
Embedded SAST and code quality checks in GitHub Actions pipelines using SonarQube quality gates and pull request blocking rules to prevent high severity findings from reaching main branches.
Implemented security scanning of artifacts using JFrog Xray to identify vulnerabilities and ensure compliance with security standards.
Created Service accounts, VM instances, VPC networks using Terraform on GQ.
Orchestrated deployments on AWS EKS and ECS, including image promotion, task and pod rollouts, and environment specific configuration using IAM roles and AWS Secrets Manager.
Leveraged AWS Lambda for event driven automation in the delivery workflow, including pre deploy checks, post deploy validations, and operational housekeeping tied to release pipelines.
Configured deployment strategies in Harness, including blue/green deployments and canary releases, to ensure safe, controlled, and efficient production rollouts.
Designed and implemented robust CI/CD pipelines using Jenkins, Azure DevOps, and GitLab to automate software builds, testing, and deployments, ensuring seamless and efficient software delivery.
Demonstrated excellent communication skills, facilitating clear and concise interactions with development, operations, and management teams.
Established a standardized GitHub Actions framework from zero, including reusable workflows, branch protections, environment approvals, runner strategy, and artifact versioning across teams.
Delivered round-the-clock operational support, addressing critical incidents and minimizing downtime.
Integrated SonarCube into CI/CD pipelines to ensure code quality and security by performing static code analysis and identifying vulnerabilities.
Led Agile Scrum teams in the development of high-impact geospatial software modules, ensuring timely delivery and alignment with project goals.
Designed and implemented the GCP Organizations setup, Project setup, IAM access and qgp Service Account setup for development, QA and production support teams.
Automated security scanning stages with Fortify for targeted repos, publishing reports as pipeline artifacts and enforcing remediation SLAs through build break criteria.
Automated provisioning and repetitive tasks using Terraform, Python, Docker containers, and service orchestration.
Developed and maintained custom Helm Charts to package and deploy complex applications on Kubernetes clusters, ensuring consistent and repeatable deployments.
Used ARM templates and PowerShell scripts to deploy Azure resources.
Implemented sophisticated GitHub automations using custom scripts and integrations to optimize workflows.
Migrated on-premises workloads to the cloud, such as migrating on-premises Windows Server 2012 R2 to Azure cloud with the help of OMS (Azure Site Recovery Vault).
Created VMs from the migrated images with Test Failover services and made necessary configuration changes.
Implemented robust issue-tracking systems and troubleshooting procedures, leading to a 40% decrease in recurring software problems.
Codified release patterns for blue green, canary, and rolling deployments with rollback hooks, plus baseline observability using CloudWatch, Prometheus, Grafana, and synthetic endpoint checks.
Utilized Harness's cost analysis features to monitor deployment costs, optimizing infrastructure utilization to align with organizational budget constraints.
Integrated Jenkins/Helm/Kubernetes/Vault with GCP to perform semi-automated and automated releases to lower and
production environments.
Experience in configuring the Cloud Firewall rules to allow the inbound traffic to GCP GKE cluster.
Deployed the Micro services with Spring800t on GCP / GKE Kubernetes Cluster configured with master nodes and workernodes.
Configured GCP GKE ISTIO to handle the Ingress and egress and Service Discovery for micro service PODS intercommunication.
Configured advanced traffic management (routing, load balancing, retries, and circuit-breaking) using Istio to manage traffic flow between microservices.
Configured and managed JFrog Artifactory for binary repository management, ensuring efficient storage, versioning, and distribution of artifacts.
Configured Azure Virtual Networks, subnets, DHCP address blocks, Azure network settings, DNS settings, security policies and routing. Also, deployed Azure IaaS virtual machines and Cloud services (PaaS role instances) into secure Virtual Networks and subnets.
Integrated Harness with GitHub, Azure DevOps, and other version control systems for seamless code repository management and pipeline triggers.
Leveraged Helm Charts to automate the deployment of microservices and other applications, leading to a significant reduction in deployment time and increased efficiency in managing application lifecycle.
Configured and controlled the scale-up and scale-out of App Service Plans and pricing tiers (scale DTUs) while migrating databases and applications from on-premises to Azure Cloud Platform.
Used Istio for blue-green and canary deployments, enabling safer and faster rollouts of new features.
Maintained and managed application users and organizations through Ruby console, created rake tasks to delete or create users, and managed various role access policies for the application users.
Automated tasks to enforce or disable properties on all Azure Virtual Machines (Linux and Windows) by assigning them to a single storage account through PowerShell scripting and configuring through Run Deck.
Implemented and enforced on-premises security protocols, compliance checks, and regular audits to safeguard data integrity and meet industry standards.
Documented and tested API endpoints with Swagger, ensuring accurate integration and compliance with design specifications.
Oversaw the release management process, coordinating with cross-functional teams to ensure successful software releases.
Collaborated with the development team to identify and solve platform issues, ensuring applications run smoothly round the clock.
Worked within Agile frameworks to manage tasks, prioritize backlogs, and deliver incremental releases.
Implemented security best practices and regularly monitored for vulnerabilities and threats using tools like GitLab security features.
Managed task tracking and prioritization using JIRA, ensuring timely resolution of issues and alignment with project goals.
Managed and maintained GPU resources to support machine learning and data processing tasks, ensuring high performance and reliability.
Troubleshot complex application-level issues, identified root causes, and implemented fixes with minimal downtime.
Configured Grafana alerting rules to monitor critical system thresholds and set up notifications via email, Slack, and other communication tools to ensure timely incident response.
Coordinated with the offshore team daily to discuss the status of allocated work and plan new tasks.
Utilized various scripting languages including Bash, Python, Ruby, and PowerShell to automate infrastructure tasks and enhance deployment efficiency.
Experienced in migrating services from Azure and on-premises to AWS.
Built large-scale end-to-end automation of infrastructure to support application deployments on servers and microservices.
Managed servers on AWS using Puppet configuration management. Supported code builds by integrating with Jenkins.
Troubleshot and monitored third-party applications using Splunk and CloudWatch in AWS. Designed custom manifests for Kubernetes resources.
Integrated JFrog Artifactory with Jenkins and Azure DevOps to streamline build and deployment workflows.
Managed incident, problem, and change requests using ServiceNow and Jira Service Management.
Deployments via ARM templates, YAML, and Terraform.
Implemented a production-ready load-balanced, highly available, fault-tolerant, auto-scaling Kubernetes cloud infrastructure and microservice container orchestration.
Developed and maintained CI/CD pipelines, building and managing the HSBC AWS foundation platform to enable application deployments.
Identified and resolved performance bottlenecks to ensure optimal system performance and high availability.
Environment: Azure, Azure Active Directory, CI/CD, HerokuGCP, Application Insights, Azure Functions, Azure Data factory, Azure SQL, Groovy, Azure Storage accounts, AWS, IAM, EBS, Ansible, Git, Jenkins, Terraform, Kafka, JFrog, WebLogic Server, Python, Ant, Maven, Nexus, Kubernetes, OpenShift, Nginx, SonarQube, Jira, Shell Scripts, Docker Registry, Prometheus, Logstash, Selenium, Grafana, Tomcat.
Client : Dodla - Hyderabad Sep 19 - Dec 21
Role : Senior DevOps Engineer
Responsibilities:
Migrated legacy applications from on-premises to AWS and cloud environments.
Currently responsible for managing and maintaining infrastructure automation in cloud environments using technologies such as Terraform, CloudFormation, containerization, Jenkins, and CI/CD. Built large-scale, end-to-end infrastructure automation to support application deployments on servers and microservices.
Deployed GKE on GCP with the help of Gitlab-Jenkins-Terraform integration.
Automated Compliance Policy Framework for multiple projects in GCP.
Managed servers on AWS instances using Puppet configuration management.
Supported code builds by integrating with continuous integration tools like Jenkins.
Integrated Istio with Kubernetes, ensuring smooth inter-service communication and enforcing security policies across microservices running in the cloud.
Generated reports and dashboards to monitor issue resolution trends and team performance.
Applied task management techniques using JIRA and SNOW to track project progress and ensure alignment with deadlines.
Wrote Maven scripts, installed Jenkins, and developed shell scripts for end-to-end build and deployment automation.
Conducted systems design, feasibility, and cost studies to recommend cost-effective cloud solutions like AWS.
Troubleshot and monitored third-party applications using Splunk and CloudWatch in the AWS environment.
Automated the cleanup and archiving of outdated artifacts using JFrog CLI, maintaining an optimized repository
Designed custom manifests to overlay application and network configurations into Kubernetes resources.
Utilized Kubernetes for the runtime environment of the CI/CD system to build, test, and deploy.
Automated regular tasks in Subversion and streamlined access processes to SVN.
Actively collaborated with cross-functional teams and business units to align infrastructure goals with business objectives and address critical needs.
Performed API testing using Postman to validate functionality, performance, and reliability of services.
Designed and managed advanced CI/CD pipelines using GitHub Actions to streamline software delivery.
Developed custom Jenkins pipelines using Groovy scripting to enable seamless CI/CD, automating complex workflows across build, test, and deployment stages.
Set up and maintained CI/CD pipelines using Harness to automate the build, testing, and deployment process, ensuring a smooth and efficient software delivery lifecycle.
Implemented task management practices using ServiceNow (SNOW), improving project tracking and resource allocation.
Utilized Grafana for monitoring and analyzing system performance metrics, identifying bottlenecks, and optimizing resource utilization to enhance application performance.
Monitored AWS resources using CloudWatch and application resources using Nagios.
Worked across all areas of technology, including database management, server-side, network systems, web and cloud software development, validation, integration, and on-premise and cloud provisioning.
Led release management efforts, coordinating with development and operations teams to ensure smooth and timely releases.
Deployed via ARM templates, YAML, or Terraform, and created YAML scripts to build and release application code onto infrastructure.
Proactively monitored application performance using tools like Splunk, AppDynamics, and Azure Monitor.
Implemented a production-ready, load-balanced, highly available, fault-tolerant, auto-scaling Kubernetes cloud infrastructure and microservice container orchestration.
Automated the cleanup and archiving of outdated artifacts using JFrog CLI, maintaining an optimized repository.
Designed and planned project application infrastructure, coordinating with Microsoft teams to address any infrastructure gaps and standardize processes.
Managed the end-to-end release management process, ensuring smooth transitions from development to production environments.
Worked on Jenkins pipelines to create automated build and deployment processes for various logon-related endpoints on the on-prem transmit server using Ansible templates.
Environment: AWS, Gradle, Maven, Kibana , Datadog, Ansible GKE, Team city, Jenkins, Nomad, Ansible, Shell Script, Java, Python, SVN, GIT, Linux, Docker, Kubernetes.
Client : Gyan - Hyderabad Jan 17 - Sep 19
Role : AWS DevOps Engineer
Responsibilities:
Worked with various services of AWS: EC2, ELB, Route53, S3, Cloud Front, RDS, IAM, Cloud Watch and Cloud Formation.
Created monitors, alarms, and notifications for EC2 hosts using Cloud Watch.
Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.
Implemented and designed AWS virtual servers by Ansible roles to ensure deployment of web applications.
Implemented & maintained monitoring & alerting of production and corporate servers using Cloud Watch.
Collaborate in the automation of AWS infrastructure via Ansible, and Jenkins - software and services configuration via Ansible Playbooks.
Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack Monitoring using Ansible playbooks and has integrated Ansible with Jenkins.
Initiated responsibility for administering the SVN and GIT servers which included install, upgrade, backup, adding users, creating repository/branches, merging, writing hooks scripts, performance tuning, troubleshooting issues and maintenance.
Created Jobs in Jenkins by setting up global permissions and scheduling jobs using poll SCM.
Migrated legacy applications to a repeatable Continuous Integration platform.
Create and maintain thousands of virtual machines using Docker and UNIX skills.
Successfully migrated the old Jenkins to New Jenkins on a different VPC, provided solution for all the hurdles in migration.
Installed and configured Jenkins for Automating Deployments and providing a complete automation solution.
Represented our team in the Production war room and worked on high priority and severe defects with minimal time frame.
Worked in a group running Jenkins in a Docker container with EC2 slaves in Amazon AWS cloud configuration. Also gain familiarity with surrounding technologies like Kubernetes.
Used Nagios as a monitoring tool to identify and resolve infrastructure problems before they affect critical processes and worked on Nagios Event handlers in case of automatic restart of failed applications and services.
Installed, configured the Nexus repository manager for sharing the artifacts within the company.
Deployed built artifacts to WebLogic application server using MAVEN.
Experience in monitoring System/Application Logs of server using Splunk to detect Production issues.
Environment: ANT, Maven, Jenkins, Ansible, Shell Script, Python, SVN, GIT, AWS, Linux, Docker, and Kubernetes.
Client : Met Life Insurance - Hyderabad May 12 - Dec 16
Role : Build & Release Engineer
Responsibilities:
Developed installer scripts using Ant, Python and UNIX for various products to be hosted on Application Servers.
Troubleshoot Build and Deploy Issues, with little downtime.
Organize and Co-ordinate Product Releases work closely with product development, QA, Support across global locations to ensure successful releases.
Implemented Chef to deploy the builds for Dev, QA, and Production.
Build scripts using ANT build tools in Jenkins to move from one environment to other environments.
Install, Configure and Administer Hudson/Jenkins Continuous Integration Tool.
Implemented Continuous Integration and Continuous deployment using various CI Tools like Jenkins, Hudson, Bamboo, and Sonatype Nexus.
Parse the Application and System logs using Python and PowerShell for all business applications to proactively monitor and trace errors with automated email alerts to various teams internally.
Automated Continuous Build and Deploy Scripts for Hudson/Jenkins Continuous Integration tool.
Work with application development and operation teams using a variety of automated testing and build, and deploy tools (Maven, Ant, Nexus, Jenkins, SVN, Selenium, and JUnit) to resolve issues with transition to new DevOps solution.
Branching, Tagging, Release Activities on Version Control Tools like SVN and GIT.
Member of the Technical Design team, Build and Release Module for Development of new products.
Documented release metrics, software configuration process.
Environment: AWS, Git, Maven, Jenkins,Tomcat, Apache, Python, Groovy,Chef, Selenium, Artifactory, Oracle.
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Education:
Arizona State University | MS in Information Technology (MSIT) GPA: 3.9/4.0 | Jan 2022 - May 2023
Jawaharlal Nehru Technological University | BE in Computer Science GPA: 3.8/4.0 | Sep 2008 - May 2012
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Certifications:
AWS Certified Developer - Associate
AWS Certified Solutions Architect - Associate
Keywords: cplusplus continuous integration continuous deployment quality analyst sthree information technology microsoft mississippi Colorado

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