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Click here or scroll down to respond to this candidate Candidate's Name
PHONE NUMBER AVAILABLE | EMAIL AVAILABLESUMMARY Around 8 years of experience in IT industry as a Cloud DevOps Engineer/ SRE with expertise in Automation, Build/Release Engineering and Software development involving Cloud computing platforms like Amazon Web Services (AWS), Azure and Google Cloud (GCP). proficient in all aspects of the Software Development Life Cycle (SDLC), including analysis, planning, development, testing, implementation and post-production analysis of projects Skilled with Cloud to design Infrastructure as a Service (IaaS), Platform as a Service Software (PaaS) and Software as a Service (SaaS) and capabilities. Designed, configured and managed Public/Private cloud Infrastructure utilizing Amazon Web Services (AWS) including EC2, S3, ECS, EFS, EKS, Elastic Load Balancer, Elastic Beanstalk, Right Scale, Auto-scaling, RDS, DynamoDB, VPC, AMI, Security Groups, Route53, CloudFront, CloudWatch, CloudFormation, AWS CDK, IAM, Lambda, EBS, SNS, SQS. Experienced in changing existed AWS infrastructure to Serverless architecture (Aws Lambda, Kinesis) through the creation of a serverless Architecture using Lamba, API gateway, Route53, S3 buckets. Experience in designing a Terraform and deploying it in cloud deployment manager to spin up resources like cloud virtual network, Compute Engine in public and private subnets along with AutoScaler in Google Cloud. Proficient in designing, implementing and maintaining CICD pipelines using various tools such as Argo CD, Argo Workflow, Jenkins GitLab CICD, CircleCI, Travis CI and GitHub Actions ensuring efficiency, reliability and scalability. Experienced in providing highly available and fault tolerant applications utilizing orchestration technologies like Kubernetes and Apache Mesos on Google Cloud Platform. Expertise in Kubernetes to deploy scale, load balance and manage Docker containers with multiple names spaced versions using Helm charts. Experience on various azure services like Azure Container Services, Virtual Machines, Azure Functions, Blob Storage, Autoscale, Azure CDN, Virtual Network, Express route for App Hosting, available regions, serverless computing, object storage, scaling and private connectivity. Extensive experience in configuration, deployment, automation with various App Servers such as Web Sphere, JBoss, Oracle WebLogic and Web servers Apache, Tomcat and Web containers Nginx. Expertise in virtualization of servers using Docker, running Docker Swarm, worked with Docker Engine and Docker Machine to deploy the micro services and configuration automation using Docker containers. Experience in branching, tagging, develop, manage Pre-commit, post-commit hook scripts and maintaining the versions across different Source Code Management (SCM) tools like GIT, Subversion (SVN) on Linux and Windows platforms and SCM client tools like GitLab, GitHub, GitGUI and Bitbucket. Experienced in installing, configuring, managing MYSQL, SQL Server, PostgreSQL, Oracle, MongoDB and Cassandra. Ability to build, deploy, build scripts and automated solutions using scripting languages such as Bash, Shell, Ruby, Java, Spring and Python. Worked with CloudFormation, Deployment Manager, ARM Templates, and Terraform templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.
Expert in infrastructure Integration between private and public clouds and involved in migrating the physical servers and Enterprise applications, into AWS, AZURE, GCP private cloud Environment. Expertise in optimizing volumes, EC2 instances, creating multiple VPC instances and creating alarms and notifications using CloudWatch. Experienced on OpenShift Platform in managing Kubernetes deployments. Hands-on experience in various environments like Red Hat Enterprise Linux (RHEL), Ubuntu and CentOS. Excellent in troubleshooting skills and ability to analyze code and resolved the issues with Immediate solutions. Expertise in Azure Infrastructure Management (Azure web role, Worker role, SQL Azure, Azure Storage). Produced detailed Release plans, control Release Scope and monitoring milestones. Extensively worked on Jenkins, Bamboo and Build forge for continuous integration and for End-to-end automation for all build and deployments. Expertise in using build automation tools like Maven and ANT to generate deployable build artifacts as JAR, WAR and EAR files from the source code repositories. Hands on experience on deploying the Maven files into servers and stored the artifact files in Nexus repository for controlling the version of artifacts/builds. Built Docker Images and deployed Restful API microservices in Containers managed by Kubernetes. Used Spinnaker for Kubernetes Continuous deployment and rolling updates. Designed, developed, and deployed applications on to several cloud-based solutions using configuration Management tools like Ansible in writing playbooks. Experienced in setting monitoring and alerting systems for applications and infrastructure using tools like Prometheus, Grafana, CloudWatch and Datadog. Proficient in assistance with pipeline-related issues, troubleshooted failures and resolved problems promptly to minimize disruptions. Implemented Cost Savings Strategy for the Organization.EDUCATION & CERTIFICATIONS Bachelors in computer science from Qis College. AWS Certified Solutions Associate Architect Microsoft Certified - Azure DevOps Engineer Google Certified Associate Cloud Engineer Certified CompTIA Advanced Security Practitioner (CASP)
Certified CompTIA Security+
TECHNICAL SKILLS
Programming Languages: C, C++, Python, Node.js, Java, Spring, SQLCloud Technologies: Microsoft Azure, AWS, GCPCloud Computing: Amazon Web Services, EC2, IAM, Elastic Beanstalk, Load balancer (ELB), RDS, S3, Glacier, Route53, SES, VPC, Open Stack Platform Cloud FoundryVersion Control Tools: Git, GitHub, GitLab, Bitbucket, SVNOperating Systems: UNIX, Linux, Windows, Debian, Solaris, Ubuntu, RHEL, CentOS, MacOSMonitoring Tools: App Dynamics, Nagios, ELK stack.Provisioning Tools: Terraform, Cloud FormationWeb/Application Servers: JBoss, Web Logic, WebSphere, Nginx, Tomcat, Apache HTTP ServerDatabase: Oracle, SQL Server, MySQL, DynamoDBBuild Tools: Ant, Maven & GradleConfiguration Management: Ansible, Salt StackProject Management: Jira, Confluence, Kanban boardNetworking /Protocols: DNS, TCP/IP, FTP, HTTPS, SSH, SFTP, SSL, DHCP, POP3
PROFESSIONAL EXPERIENCE
Deloitte / TD Bank, Dallas, TX July 2023 Current
Sr. AWS DevOps Engineer
Architected and deployed scalable web server infrastructure on AWS using EC2 instances, with Apache HTTP Server, Nginx and HAProxy for load balancing and traffic management. Optimized Java applications for performance and scalability within AWS environments, leveraging AWS services like Amazon RDS and Amazon EC2. Developed and deployed Node.js for managing serverless workloads using AWS Lambda. Extensive involvement in Monitoring & Automation architecture design, Engineering, Implementation and delivery. Worked with several scripting languages like Python, Perl, YMAL and JSON for various services. Implemented Auto Scaling Groups (ASGs) to dynamically adjust the number of EC2 instances based on traffic patterns and load. Experienced in building microservices and deploying them into Kubernetes cluster and Docker Swarm. Automated build and deployment of Microservices using Git and Jenkins. Created High Availability of service to achieve Continuous Delivery on High scalable environment and used Docker with Load balancing tool Nginx. Integrated Java-based applications and tools into CICD pipelines, using AWS CodePipeline and AWS CodeBuild for building and deploying Java applications. Used Spinnaker for Kubernetes Continuous deployment and rolling updates. Utilized Kubernetes resources like Pods, Services, Deployments, StatefulSets and DaemonSets using kubectl commands. Good knowledge on AWS Web services like ELB, RDS, SNS, EBS, API Gateway, EKS, EFS and CloudFormation etc. Developed and deployed application using Node.js and AWS services like AWS Lambda, Amazon API Gateway, and Amazon DynamoDB for managing microservices using Node.js Configuring AWS IAM and Security Group in Public and Private Subnets in VPC. Monitoring Server alerts through Nagios for on-premises servers, Cloud Watch and troubleshooting the alerts in AWS Cloud environment. Developed API for using Docker Containers using automation of Elastic Container Service schedule. Deployed J2EE applications to Application servers in an Agile continuous integration environment and automated the whole process and migrated from Maven to Gradle build tools in Jenkins to move from one environment to other environments. Provisioned highly available EC2 Instances using Terraform and Cloud Formation and wrote new plugins to support new functionality in Terraform. Experienced in maintaining applications in AWS in EC2, Cloud Formation, databases such as Dynamo and Redshift. Responsible for handling AWS Security Operations (SecOps) and troubleshooting skills in fixing network related issues. Good exposure on all areas of Jenkins like Plugin Management, LDAP, performance issues, Analytics, Scaling Jenkins. Integrating code Analysis and Test phases to complete the CD pipelines within Jenkins. Experienced in writing multiple Python, Shell scripts for internal applications for various organizational tasks. Proficient in optimizing Apache HTTP Server and Nginx configurations, reducing latency and improving performance, while also implemented caching strategies to reduce server load. Architected and designed Rapid deployment method using Ansible to auto deploy servers as needed. Provided consistent environment using Kubernetes for deployment scaling and load balancing the application from Dev through QA. Expertise in Kubernetes to deploy scale, load balance and manage Docker containers with multiple names spaced versions using Helm charts. Experienced in managing the deployments, scaling and maintenance of cloud infrastructure components such as servers, databases and networking resources. Expertise in planning and managing capacity requirements for cloud infrastructure, as well as optimizing costs through cost analysis and cost savings. Proficient in handling incidents, conducting root cause analysis and implementing preventive measures, while also collaborating with development and operations teams for incident resolution.BNSF, Texas April 2022 July 2023DevOps/GCP Engineer
Handle the various platforms like Linux, Windows and GCP for automation purpose at same time. Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack monitoring using Ansible playbooks and on Integrating Ansible with Jenkins. Jenkins pipelines have been configured to automatically deploy artifacts from Artifactory to various environments like staging and production using AWS services. Developed automation scripts in YAML using Ansible to deploy and manage Java applications across Linux servers. Applied Ansible and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly deploys critical applications, and proactively manages change. Worked on creating the Docker containers and Docker consoles for managing the application life cycle and wrote NodeJS programming to view and connect the Apache Spark instance. Responsible for managing the GCP services such as Compute Engine, App Engine, Cloud Storage, VPC, Load Balancing, Big Query, Firewalls, and Stack Driver. Worked on GCP services like Compute Engine, Cloud Load Balancing, Cloud Storage, Cloud SQL, stack driver monitoring and Cloud Deployment Manager Hands of experience in GCP, Big Query, GCS bucket, G - cloud function, cloud dataflow, Pub/Sub cloud shell, GSUTIL, BQ command line utilities, Data Proc, Stack driver Used Chef for configuration management of hosted Instances within GCP. Configuring and Networking of Virtual Private Cloud (VPC). Responsible for managing the Docker orchestration for transferring the data from store database to REDIS cache server. Involved in writing Python scripts to automate the process of extracting weblogs using Airflow DAGs. Worked on TERRAFORM for provisioning of Environments in GCP platform. Managing and deploying the artifacts into various environments like STRESS, UAT. Wrote the Deployment scripts for deploying Application through Jenkins. CentOS, Ubuntu, and installed patches, packages for Red Hat Linux Servers. Worked with tools such as JIRA, Agile/Scrum Methodology with short sprint cycle to release product, used JIRA for making projects, created mail handlers and notice schemes for JIRA and documented the processes Confluence. Build data pipelines in airflow in GCP for ETL related jobs using different airflow operators both old and newer operators. Experienced in monitoring application performance, optimizing resource usage and implementing auto-scaling policies based on traffic patterns and performance metrics to ensure high availability and responsiveness.Ericsson, India October 2019 Dec 2021 AWS DevOps Engineer
Worked on Software Development Life Cycle (SDLC) methodologies such as agile and SCRUM. Designed, wrote and maintained systems (python) for administering GIT. Deployed JAVA applications on Tomcat Application servers. Created alert and monitoring system for business-critical applications. Coordinated with team to maintain Service Level Agreements (SLAs). Implemented and maintained threat detection services like AWS GuardDuty, Azure Security Center and Security Hub to identify and respond to security threats. Administering and supporting window-based .Net application hosted on IIS. Created Groups, assigning roles and permissions using IAM service. Experienced in migrating on premise to Windows Azure using AzureSite Recovery and Azure backups. Used Ansible playbooks to setup continuous delivery pipeline consists of Sonar server, Infrastructure to run these packages supporting components like Maven. Researched and Evaluated Cloud Computing Cost, Accounting Tools, Cloud Monitoring, Cloud Health Tools, Synthetic Alerts, New Relic, Dynatrace. Created S3 buckets and managing policies for S3 buckets and utilized S3 bucket and Glacier for storage and backup on AWS. By using AWS Elastic Container Service (ECS), Jenkins, GitHub and ECS task definitions deployed the Microservices applications in AWS cloud. Implemented Infrastructure as Code (IaC) using AWS CloudFormation and Terraform for web server and load balancer deployment, enhancing efficiency and consistency through automated tasks and configurations. Experience with container-based deployment using Docker, Docker images, Docker hub and Docker registries. Installation and configuring Kubernetes and clustering them within OpenShift. Created Kubernetes YAML file for deployment in Kubernetes Cluster. Created Pods, Deployments, Services and Replication Controller in Kubernetes. Used Spinaker for Kubernetes Continuous Deployment and Rolling Updates. Experienced in using Docker Swarm and deployed spring boot applications. Used AWS Beanstalk for deploying and scaling web applications and services developed with Java. Integrated Jenkins with JFrog Artifactory to effectively manage build artifacts and container images ensuring that they are stored and retrieved during the deployment process. Developed Java API to connect the Amazon S3 service to store and retrieve the media files. Built features and provided bug fixes for Saltstack s core open-source code PostgreSQL, Oracle.
Collaborated closely with development, QA and operations teams to comprehend requirements, resolve issues and execute enhancements.
Proficient in automating repetitive tasks and processes has been implemented to enhance efficiency and minimize manual intervention.
CSS Corp Jan 2017 Sep 2019
Client 2: NokiaDevOps Engineer Worked on Azure Cloud Services (PaaS & IaaS), Storage, Web Apps, Active Directory, Application Insights and Logic Apps. Implemented Azure APIM modules for public facing subscription-based authentication. Creating and Managing hosting plans for Azure Infrastructure, implementing & deploying workloads on Azure Virtual Machines (VMs), Design and implement VM storage & good understanding on Implementing images/disks. Extensive involvement in Azure Backup, Azure policies, Azure Key Vault. Stored secrets and keys in KeyVault. Worked on Configuration of Internal load balancer, load balanced sets and Azure Traffic manager with addition to TCP/IP networking concepts (DNS, DHCP, etc.) Worked on Azure VPN-Point to Site, Virtual networks, Azure Custom security, Endpoint security and firewall. Worked on OpenShift for container orchestration with Kubernetes container storage, automation to enhance container platform multi-tenancy also worked on Kubernetes architecture and design troubleshooting issues and multi-regional deployment models and patterns for large scale applications. Created several pods and services using Master and Minion architecture of Kubernetes and developed microservice onboarding tools leveraging Python allowing for easy creation and maintenance of build jobs and Kubernetes deploy and services. Configured and troubleshooted Kubernetes Service Discovery and DNS resolution within the cluster. Extensively used Kubernetes charts using Helm and created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and managed releases of Helm packages. Creation of Prometheus and Grafana setup using Terraform/Ansible for various targets like Spark, MySql, node exporters etc. Experience on Azure securities, KeyVault and TLS/SSL certificate configuration in Azure app service. Hands on experience in AZURE CLI, Bash, KSH, PowerShell Scripting s. Worked on Backup and restore Azure Services. Created Python, Java, and Node.js scripts for custom automation tasks that enhance IaC solutions including environment configuration and deployment processes. Experienced in maintaining the branching, Staging, build and release strategies using SCM tools like Subversion, GIT and Bitbucket, Used tools like Bamboo. Working knowledge on Blue Green Deployments to maintain Zero Down time while new Production Release and maintained Branching Standards in Git-Flow. Worked on TFS/Azure DevOps for continuous integration (CI) and for end-to-end automation using PowerShell for all builds and deployments and worked on Build tools like Maven for the building of deployable artifacts into Artifactory like Jfrog and Nexus from source code. Used SonarQube for quality Checks in pipelines. Implemented Azure DevOps pipelines, Involved in migration of Bamboo to Azure DevOps. Experience in Installing, Configuring, Managing the Monitoring Tools such as Splunk, Nagios, ELK, and New Relic for Resource Monitoring/Network/Monitoring.Client 1: VerizonJava & PL/SQL Developer Implemented the web services client to consume the third-party service API for validating credit cards. Used XML Web Services using SOAP and Groovy to transfer the amount to transfer application that is remote and global to different financial institutions. Implemented Singleton, Service Locator design patterns in MVC framework and developed command, delegate, model action script classes to interact with the backend. Migrate data from several databases such as SQL Server, Sybase and MySQL to Oracle Database. Implementation of database security procedures, maintenance of Oracle databases using OEM, ASM configuration and movement of data across databases using data pump export/import utilities. Writing UNIX Shell scripts for data migration and loading. Creating complex PLSQL packages incorporating multi-org functionality with many modules merged by working with complex queries, complex Joins and Conditions. Creating mini-Database modules for different forecasting requirements of the business Programming with PL/SQL to implement business rules through triggers, procedures, functions, and packages with the use of SQL*Plus and other similar editors. Efficient in designing and developing Hive schemas, tables and partitions based on data requirements and query patterns. Successful in managing data ingestion into Hive tables, including handling data transformations and loading data from various sources like HDFS and local files. Developed and executed operations on Hive tables including schema changes, table renaming and property management. Implemented partitioning strategies to enhance query performance and efficiently managed large datasets. Engineered and effectively managed partitions by updating them as needed to accommodate changes in data/query requirements. Wrote and executed HiveQL queries to retrieve and transform data from Hive tables. Efficient in analysis focusing on identifying and resolving performance bottlenecks in query execution plans.References will be provided upon request |
