About
I have 8.5 years of extensive experience in DevOps Space with certification of AWS DevOps Professional and Azure administrator associates. I have worked on multi-cloud for more than 3 years. Hands on experience on major cloud platforms such as AWS, Azure and GCP along with other necessary tools such as Docker, Kubernetes, Jenkins, Terraform, Ansible.
Skills & Expertise (75)
Work Experience
Sr. Azure DevOps Engineer/Sr. AWS DevOps Engineer
Integrity Marketing Group LLC
9-2019 - 5-2022
• Skilled in deploying and managing solutions on Azure and AWS using ARM Templates, Azure PowerShell, AWS CloudFormation, and CLI tools. Experienced in ensuring high availability and implementing auto-scaling in multi-cloud environments. Proficient in migrating traditional systems to Azure and AWS using methods like Lift and Shift, Azure Migrate, and AWS Server Migration Service. • Automated tasks in Azure and AWS using Azure Automation Assets, Graphical runbooks, PowerShell runbooks, and AWS Lambda functions. Deployed Azure AD Connect, AWS Directory Service, and configured ADFS authentication flow and SSO. Performed administrative tasks such as building, designing, and deploying Azure and AWS environments. • Managed Helm charts on Azure AKS and AWS EKS, ensuring reproducible builds and releases of Kubernetes applications across multi-cloud environments. Implemented a local development workflow with Minikube for deployment validation. • Designed and deployed solutions on Azure and AWS using ARM Templates, CloudFormation, Azure PowerShell Module, AWS CLI, and Azure CLI for high availability and auto-scaling. Implemented migration strategies for traditional systems (Lift and shift/Azure Migrate, AWS Migration Hub, third-party tools). • Wrote Ansible Playbooks with Python SSH as the wrapper to manage configurations of Azure and AWS Cloud, tested playbooks on Azure and AWS using Python. • Managed ELK (Elasticsearch, Logstash, Kibana) Stack for Searching, routing, and visualizing Logged Data across Azure and AWS environments. • Applied Terraform for the migration of legacy systems to Microsoft Azure and AWS, orchestrating the provisioning of highly available resources such as Azure Virtual Machines and AWS EC2 instances. Additionally, contributed to the development of custom Terraform providers/plugins to enhance functionality within Azure and AWS cloud environments. • Worked with Docker and Kubernetes on multiple cloud providers, from helping developers build and containerize their application to deploying either on Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS), or other Kubernetes clusters across different cloud providers. • Experience in writing Groovy scripts to configure build Jobs and build Pipelines in a master and slave configuration to implement multiple parallel builds by using Jenkins across Azure and AWS environments. • Worked on troubleshooting the build issues during the Jenkins build process and developed build and deployment scripts using ANT as build tools in Jenkins to move from one environment to another environment across Azure and AWS. • Proficient in implementing and managing Nagios monitoring solutions to ensure proactive identification of system issues, minimize downtime, and optimize overall infrastructure performance across Azure and AWS environments. • Built Puppet enterprise modules using puppet DSL to automate infrastructure provisioning and configuration management to existing infrastructure by deploying Puppet. Also, managed Puppet configurations across Azure and AWS cloud environments. • Deployed custom applications using Chef, managed schema updates via Liquibase, and orchestrated workflows with Jenkins across Azure and AWS. Maintained CI/CD pipelines in Jenkins, integrating with Maven for builds across multi-cloud environments. Solely managed the CI Jenkins server on Azure and AWS. • Implemented Prometheus for monitoring and alerting across Azure and AWS, optimizing metric collection for proactive issue identification. Ensured high availability and performance, contributing to resilient multi-cloud infrastructure. • Experienced in configuring and maintaining Nexus repository manager to efficiently manage and store software artifacts, ensuring reliable and secure artifact management for streamlined software development processes across Azure and AWS environments. • Proficient in Gradle for build automation, managing dependencies and tasks across Azure and AWS. Utilized Gradle to optimize the software development lifecycle, enhancing project efficiency in multi-cloud environments. • Skilled in configuring and optimizing Nginx for enhanced performance, scalability, and security of web applications on Azure and AWS. Expertise in load balancing, reverse proxy setups, and efficient handling of static and dynamic content. • Experienced in designing and implementing RabbitMQ for efficient message queuing on Azure and AWS. Skilled in managing RabbitMQ for reliable communication and enhancing system reliability, scalability, and performance in multi-cloud environments. • Implemented Cucumber for BDD, creating and executing feature files with Gherkin syntax to streamline collaboration and automate test scenarios, enhancing overall software development efficiency across Azure and AWS environments. • Developed custom WAF rules tailored to the specific needs of web applications, optimizing rule sets for performance and security, while minimizing false positives across Azure and AWS environments
DevOps Engineer / SRE
Surekha Technologies
8-2015 - 11-2016
• Experience in monitoring the GCP environment using Google Cloud Monitoring and Logging and performed optimization tasks such as rightsizing of virtual machines, optimizing storage costs, and implementing auto-scaling policies to improve resource utilization and cost efficiency. • Experience in hosting an Application in Google cloud Platform by using GCP services like Compute Engine, App engine, Cloud SQL, Kubernetes Engine, Stack driver and Cloud Storage. • Worked with Docker and Kubernetes on multiple cloud providers, from helping developers build and containerize their application to deploying either on public or private cloud. • Experience in writing Groovy scripts to configure build Jobs and build Pipelines in a master and slave configuration to implement multiple parallel builds by using Jenkins. • Worked on troubleshooting the build issues during the Jenkins build process and developed build and deployment scripts using ANT as build tools in Jenkins to move from one environment to another environment • Proficient in implementing and managing Nagios monitoring solutions to ensure proactive identification of system issues, minimize downtime, and optimize overall infrastructure performance. • Built Puppet enterprise modules using puppet DSL to automate infrastructure provisioning and configuration management to existing infrastructure by deploying Puppet. • Deployed custom applications using Chef, executed schema updates with Liquibase and coordinated everything with Jenkins, Configured and maintained Jenkins to implement the CI process and integrated the tool with Maven to schedule the builds. Took the sole responsibility to maintain the CI Jenkins server. • Implemented Prometheus for robust monitoring and alerting, demonstrating expertise in configuring and optimizing metric collection for proactive issue identification. Utilized Prometheus to ensure high availability and performance of systems, contributing to a resilient and efficient infrastructure. • Used Terraform for provisioning high availability of GCP Infrastructure & added on new plugins to support new functionality in GCP, involved in using Terraform to migrate legacy and monolithic systems to GCP. • Experienced in configuring and maintaining Nexus repository manager to efficiently manage and store software artifacts, ensuring reliable and secure artifact management for streamlined software development processes. • Proficient in Gradle build automation, showcasing hands-on experience in configuring and managing project dependencies, tasks, and build processes. Utilized Gradle to streamline and optimize the software development lifecycle, enhancing overall project efficiency. • Integrated SonarQube with GCP infrastructure to allow developing teams to automate code quality analysis as a part of their development workflows and to monitor code quality metrics, build in reports over time. • Adept in configuring and optimizing Nginx web server to enhance the performance, scalability, and security of web applications, with a focus on load balancing, reverse proxy setups, and efficient handling of static and dynamic content. • Experienced in designing and implementing RabbitMQ for efficient message queuing, demonstrating proficiency in ensuring reliable communication between distributed applications. Skilled in managing RabbitMQ to enhance system reliability, scalability, and optimal performance in dynamic environments. • Implemented Cucumber for BDD, creating and executing feature files with Gherkin syntax to streamline collaboration and automate test scenarios, enhancing overall software development efficiency. • Developed custom WAF rules tailored to the specific needs of web applications, optimizing rule sets for performance and security, while minimizing false positives.
Linux System Administrator
Click Away IT Solution
7-2014 - 7-2015
• Experienced in Server administration of local and remote systems via Command Line Interface, monitoring logs for stop processes, disk space utilization. • Upgrade Red Hat Linux servers. Performed common system administration tasks including but not limited to: adding users, configuring volumes, creating file systems, configuring various system services, configuring software firewall, monitor system health. • Incident Management: Resolve single - and cross technology incidents independently. Work with team members to resolve unusually complex or cross technology incidents. • Processed support tickets. • Work with VMware platform and management tools Creating and managing the periodic scorecards to be used to measure the effectiveness of technical operations groups and adherence to Operating Level Agreements. • Manage medium scale Linux server environments: handling Linux environment, including deployment, administration, networking, performance monitoring and tuning, security hardening, trouble shooting and production operations. • Performing analysis and assessment of server performance and storage capacity and planning. • Proficient in administering various Linux distributions such as CentOS, Red Hat Enterprise Linux (RHEL), Ubuntu, and Debian, ensuring system stability, security, and optimal performance. • Extensive experience in configuring, managing, and troubleshooting networking services including TCP/IP, DNS, DHCP, VLANs, and routing protocols on Linux-based systems. • Skilled in implementing and managing virtualization technologies such as VMware vSphere and KVM/QEMU, including VM provisioning, migration, and performance tuning. • Demonstrated expertise in scripting languages like Bash, Python, and Perl for automation of routine tasks, system monitoring, and log analysis, enhancing operational efficiency. • Proficient in deploying and managing containerization technologies such as Docker and Kubernetes for scalable application deployment, orchestration, and management. • Experienced in configuring and maintaining enterprise-level storage solutions including RAID, NFS, iSCSI, and SAN technologies for efficient data storage and retrieval. • Strong understanding of security best practices, including access control, firewalls, intrusion detection/prevention systems, and encryption mechanisms, ensuring data integrity and confidentiality. • Proven track record in implementing and managing backup and disaster recovery solutions using tools like Bacula, Amanda, and rsync, ensuring business continuity and data protection. • Skilled in performing system monitoring, performance tuning, and capacity planning using tools like Nagios, Zabbix, and Prometheus, ensuring high availability and optimal resource utilization. • Excellent communication and documentation skills, adept at collaborating with cross-functional teams, providing technical support, and creating comprehensive system documentation for reference and training purposes
Sr. AWS DevOps Engineer
Amex
6-2022 - Present
• Experience in Infrastructure Development and Operations using AWS services such as AWS Cloud platforms, EC2, ELASTIC BEAN STACK (EBS), S3, VPC, IAM, WAF, EC2 Container Service, RDS, SES, ELB, Auto scaling, Cloud Front, Cloud Formation, Elastic ache, Cloud Watch, SNS, AWS Import / Export. • Expertise in writing AWS Cloud Formation templates in JSON to use them as blueprints for building & deploying multiple AWS resources. Worked on Kinesis Data Streams & Kinesis Firehouse & integrated with AWS Lambda for serverless data collection. • Demonstrated experience in building and administering both self-managed and managed Kubernetes clusters, managing containerized applications, and configuring Docker containers for different environments. • Worked on Docker-Compose & Docker-Machine to create Docker containers for testing applications in the QA environment & automated the deployments, scaling & management of containerized applications across cluster hosts. • Established a robust CI/CD system using Jenkins within a Kubernetes container environment. Employed Kubernetes and Docker for the runtime environment, enabling efficient build, testing, and deployment processes. • Designed, wrote & maintained systems in Python scripting for administering GIT, using Jenkins as a complete cycle continuous delivery tool involving package creation, distribution & deployment onto Tomcat application servers via shell scripts embedded into Jenkins jobs. • Implemented OWASP (Open Web Application Security Project) best practices to enhance the security posture of digital assets, ensuring robust protection against common web vulnerabilities such as SQL injection and cross-site scripting (XSS). • Managed Kubernetes Helm charts, Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and managed releases of Helm packages. Established a local dev workflow that is centered around Minikube to validate deployments in Kubernetes. • Developed Ansible playbooks, inventories, and custom playbooks in YAML, and encrypted the data using Ansible Vault and maintained RBAC (role-based access control) by using Ansible Tower and Implemented IT orchestration using Ansible to run tasks in a sequence which can work on different servers. • Leveraged Terraform modules for efficient management of configurations, applications, and services, simplifying the installation process for web servers and AWS. • Effectively utilized AWS Elastic Container Registry (ECR) to streamline container image storage and distribution, optimizing deployment processes for scalable and efficient containerized applications. • Implemented robust monitoring solutions using AWS CloudWatch, enhancing system reliability by proactively identifying and addressing performance issues. Automated alert configurations and logging to ensure timely response to critical events, contributing to a resilient and well-monitored cloud infrastructure. • Proficient in Maven for building applications, demonstrated expertise in crafting Maven scripts and shell scripts to automate the build process. Successfully optimized Maven build pipelines, enhancing development workflows and ensuring consistent and reliable software deployment. • Responsible for installation & configuration of Jenkins to support various Java builds and Jenkins plugins to automate continuous builds and publishing Docker images to the Nexus repository. • Expert in GitLab for version control and collaborative software development, proficient in managing repositories, branches, and CI/CD pipelines. Implemented GitLab workflows to streamline collaboration, code reviews, and automated testing, contributing to efficient and agile development processes. • Migrating virtual machine configuration files and virtual disks from one Datastore to another Datastore Customizing VM’s (Memory, hard disk, Nic). Analyzing log files, Resources utilizing monitoring. • Deployed Java applications on Apache Tomcat and WebSphere servers, ensuring optimal configuration and performance. Proficient in managing Apache Tomcat and WebSphere environments, implementing security measures, and conducting troubleshooting for seamless integration within these server platforms. • Integrated Splunk Enterprise with Dyna Trace to monitor the performance of the application, managing Splunk Forwarder on centralized deployment server. • Led successful proof-of-concept initiatives, validating feasibility, and ensuring the highest security standards. Offered invaluable guidance and support to development teams on AWS services, architecture patterns, and best practices. • Expertise in configuring and optimizing Nginx for scalable and high-performance web applications. Implemented reverse proxy, load balancing, and SSL/TLS configurations, ensuring robust security and efficient content delivery. • Implemented and fine-tuned IAM policies for secure AWS resource access, showcasing expertise in user authentication, role-based control, and continuous monitoring. • Implemented SNS (Simple Notification Service) for efficient event-driven communication in AWS, enhancing real-time alerts and notifications. Proficient in configuring topics, subscriptions, and message filtering within the SNS framework. • Automated OpenStack & AWS deployment using Cloud Formation, Ansible & Terraform; deployed & administered OpenStack services. • Developed backup and recovery engine for VM backup/recovery using VMware vSphere APIs, GoLang programming language and RabbitMQ Message bus (communication interface). • Implemented and optimized MongoDB databases for scalable and high-performance data storage. Proficient in query optimization, indexing, and data modeling, ensuring efficient and reliable database operations.
SRE / Build and Release Engineer
Cisco
6-2017 - 8-2019
• Skilled in deploying and managing solutions on AWS and GCP using GCP Deployment Templates, Google Cloud SDK, AWS CloudFormation, and CLI tools. Experienced in ensuring high availability and implementing auto-scaling in multi-cloud environments. Proficient in migrating traditional systems to GCP and AWS using methods like Google Cloud Migrate, and AWS Server Migration Service. • Automated tasks in GCP and AWS using GCP Cloud Schedular, GCP Cloud Function, GCP Cloud Composer, and AWS Lambda functions. Deployed Cloud Identity, AWS Directory Service, and configured ADFS authentication flow and SSO. Performed administrative tasks such as building, designing, and deploying GCP and AWS environments. • Managed Helm charts on GKE and AWS EKS, ensuring reproducible builds and releases of Kubernetes applications across multi-cloud environments. Implemented a local development workflow with Minikube for deployment validation. • Designed and deployed solutions on GCP and AWS using GCP Deployment Templates, CloudFormation, Google Cloud SDK, AWS CLI for high availability and auto-scaling. Implemented migration strategies for traditional systems (Google Cloud Migrate, AWS Migration Hub, third-party tools). • Wrote Ansible Playbooks with Python SSH as the wrapper to manage configurations of GCP and AWS Cloud, tested playbooks on GCP and AWS using Python. • Managed ELK (Elasticsearch, Logstash, Kibana) Stack for Searching, routing, and visualizing Logged Data across GCP and AWS environments. • Applied Terraform for the migration of legacy systems to GCP and AWS, orchestrating the provisioning of highly available resources such as GCP Compute Engine and AWS EC2 instances. Additionally, contributed to the development of custom Terraform providers/plugins to enhance functionality within GCP and AWS cloud environments. • Worked with Docker and Kubernetes on multiple cloud providers, from helping developers build and containerize their application to deploying either on Google Kubernetes Engine (GKE), Amazon Elastic Kubernetes Service (EKS), or other Kubernetes clusters across different cloud providers. • Experience in writing Groovy scripts to configure build Jobs and build Pipelines in a master and slave configuration to implement multiple parallel builds by using Jenkins across GCP and AWS environments. • Worked on troubleshooting the build issues during the Jenkins build process and developed build and deployment scripts using ANT as build tools in Jenkins to move from one environment to another environment across GCP and AWS. • Proficient in implementing and managing Nagios monitoring solutions to ensure proactive identification of system issues, minimize downtime, and optimize overall infrastructure performance across GCP and AWS environments. • Built Puppet enterprise modules using puppet DSL to automate infrastructure provisioning and configuration management to existing infrastructure by deploying Puppet. Also, managed Puppet configurations across GCP and AWS cloud environments. • Deployed custom applications using Chef, managed schema updates via Liquibase, and orchestrated workflows with Jenkins across GCP and AWS. Maintained CI/CD pipelines in Jenkins, integrating with Maven for builds across multi-cloud environments. Solely managed the CI Jenkins server on GCP and AWS. • Implemented Prometheus for monitoring and alerting across GCP and AWS, optimizing metric collection for proactive issue identification. Ensured high availability and performance, contributing to resilient multi-cloud infrastructure. • Experienced in configuring and maintaining Nexus repository manager to efficiently manage and store software artifacts, ensuring reliable and secure artifact management for streamlined software development processes across GCP and AWS environments. • Proficient in Gradle for build automation, managing dependencies and tasks across GCP and AWS. Utilized Gradle to optimize the software development lifecycle, enhancing project efficiency in multi-cloud environments. • Skilled in configuring and optimizing Nginx for enhanced performance, scalability, and security of web applications on GCP and AWS. Expertise in load balancing, reverse proxy setups, and efficient handling of static and dynamic content. • Experienced in designing and implementing RabbitMQ for efficient message queuing on GCP and AWS. Skilled in managing RabbitMQ for reliable communication and enhancing system reliability, scalability, and performance in multi-cloud environments. • Implemented Cucumber for BDD, creating and executing feature files with Gherkin syntax to streamline collaboration and automate test scenarios, enhancing overall software development efficiency across GCP and AWS environments. • Developed custom WAF rules tailored to the specific needs of web applications, optimizing rule sets for performance and security, while minimizing false positives across GCP and AWS environments
Education
B.Sc In Computer Science
2010 - 2013 · India
Certifications
AWS DevOps Professional
Amazon Web Services · 2024
The AWS Certified DevOps Engineer - Professional certification validates expertise in implementing DevOps practices in AWS environments. It covers continuous delivery, automation, infrastructure as code, monitoring, security, and high availability.
Azure Administrator Associate
Microsoft Azure · 2024
The Azure Administrator Associate certification from Microsoft validates expertise in managing Azure solutions
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3 weeks
