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Devops Engineer/Middleware/Site Reliability Engineer

Location:
Farmington, MI
Salary:
$60/hr
Posted:
January 13, 2021

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Resume:

DEEPTHI M

Devops/Site Reliability Engineer

848-***-****

adjei2@r.postjobfree.com

Around 6 years of IT experience in Middleware and cloud automation with extensive in development, build and design, deployment, delivery management, middleware administration, Linux administration, cloud infrastructure design, software configuration management (SCM) process, System build engineering, AWS, Docker, Ansible and DevOps in CI/CD pipeline, Build/Release management.

Expertise in administrating of IAAS and PAAS Virtual Machines and the applications on both on-prem and private cloud platforms.

Great hands-on setting up high availability (HA) applications on AWS across Availability Zones and Experience on fault tolerance, Disaster Recovery and as per the need, auto-scaling in AWS Cloud Formation.

Expertise in automating the deployments, scaling, and operations of application containers across clusters of hosts, using Jenkins and Jenkins pipelines to drive all microservices and managed pods using OpenShift.

Hands-on implementing Cloud Solutions using various AWS Services including EC2, VPC, S3, Glacier, IAM, Lambda, Directory Services, Security-Groups, CloudFront, CloudWatch.

Worked on Cloud Formation templates, Auto-scaling, Elastic Beanstalk, RDS, SNS, DynamoDB, AMI, ELB, Route-53 etc.

Experience in using Docker Hub, Docker Engine, Docker images for building the images and release the base versions of WebSphere, WebLogic, and Tomcat images.

Expertise in installations, configurations and troubleshooting of WebSphere, WebLogic, Tomcat, Apache, Spring boot, iplanet, HIS, OHS, MuleSoft, Guidewire and many middleware products and the integration with the DevOps and Cloud platforms.

Worked with Dev teams for the lifecycle of JAVA/ J2EE applications, React and NodeJs applications like deployments and troubleshooting.

Used Kubernetes to orchestrate the deployment, scaling and management of Docker containers.

Managed Docker orchestration using Kubernetes.

Experience in AWS cloud computing platform, that includes various resources like EC2, load-balancing with ELB, messaging with SQS, Custom monitoring analysis using CloudWatch, Autoscaling architectures and using EBS under high I/O requirements.

Expertise in creating the dashboards for Kibana, Graphana, Dynatrace, Splunk and created the alerting for various teams.

Build servers using AWS includes importing necessary volumes, launching EC2 instance, S3 for object static web pages and created security groups, auto scaling, load balancer, Route 53, and SNS as per the architecture using Infrastructure As A Code(IAAC) tools like Cloud formation JSON templates

Experience in configuring and managing Chef master server, upload cookbooks through knife, test recipes in Kitchen and other chef tools like Supermarket, Inspec and building workflows with Chef Automate.

Managed Load balance configuration using the casino tool. Added the servers and managed the ports and the traffic using the round robin methods.

Experience in Installing and configuring Ansible and writing playbooks for Ansible deploying applications and maintained role-based access control by using Ansible Tower to manage web applications, Environments configuration files, Users and Packages.

Regularly applied patches both for Linux/CentOS systems.

Wrote Docker files for building the tomcat images and managed the images in the hub.

Proficient in defining build pipelines in addition to creating and maintaining multiple jobs on CloudBees Jenkins

Worked in an agile development team to deliver an end to end continuous integration/continuous delivery product in an open source environment using tools like Jenkins, VSTS

Worked with Atlassian tools Bitbucket, Confluence and JIRA for various projects to support the CI/CD process.

Experience with cloud computing technologies (GCP/AWS), including tools such as Terraform.

Experience in Issue Tracking, Defect Management.

Support, Compile and troubleshoot Atlassian tools, Design custom JIRA workflow.

Extensive Experience in managing Atlassian tools for Application Life cycle management such as Confluence, JIRA, Bit Bucket.

Deployed and configured Elastic search ELK, Logstash and Kibana (ELK) for log analytics, full text search, application monitoring in integration with AWS Lambda and Cloud Watch.

Experience in using Application Performance Monitoring tools like Wily, Splunk, Dynatrace, Nagios and analyse the issues and route causes.

Provide Installation, configuration, maintenance and operational support of ALM and site Administration.

Integration of third party tools with ALM. Creating, Archiving and Customizing projects.

Installed and configuration of various services like Apache web server, SSL, SSH.

Worked with build tools like MAVEN and ANT for the building of deployable artifacts

Great working experience in OS configuration, upgrade, maintenance, patches, performance monitoring and troubleshooting system software and hardware.

Administered various flavours of Linux (RedHat Enterprise Linux, CentOS, Ubuntu, Solaris) and Windows.

Deep understanding of layer 7 protocols like HTTP, SSL/TLS.

Expert in automation (writing shell) to monitor UNIX production applications.

Excellent interpersonal skills, ability to interact with people at all levels.

CI/CD

Jenkins, GitHub, Bitbucket, Maven, SonarQube, Confluence, JIRA.

Cloud Platforms

Amazon Web services, Open shift,GCP

Microservices

AWS, Docker, ECS (Containers)

Logging and Monitoring

Splunk, Cloud Watch, Dynatrace, Wily, Kibana, Graphana, AppDynamics

Infrastructure Automation

Ansible, Chef

Application Servers

Web Sphere, Web Logic, Tomcat, Apache, Springboot, Guidewire, MuleSoft

Web Servers

IHS, OHS, Nginx, Apache, iPlanet

Operating Systems

Windows, Linux, Unix, CentOS

Databases

Oracle 10g/11g/12c, Dynamo DB, MySQL

Scripting

Python, Shell, PowerShell, JavaScript

Client: PHEAA (Harrisburg, PA) Feb 2019 - Current

Title: Devops Engineer/Site Reliability Engineer

Responsibilities:

Configured a virtual data center in the Amazon Web services cloud to support Enterprise data warehouse hosting including Virtual Private Cloud (VPC), Public and Private Subnets, Route53, Security Groups, Route Table, Elastic Load Balancers, etc.

Leveraged Aws cloud services such as Auto scaling, EC2, and VPCs to build highly Scalable and secure systems that can handle the unexpected request load to support the high availability.

Worked on Aws Cloud Formation templates to create customized VPC, subnets, NAT instances to ensure successful deployment of critical applications and templates.

Created Python scripts for the automating the AWS Services which includes Cloud front distribution, RDS, EC2 and DB security, S3 bucket storage configurations.

Hands on experience in GCP services like EC2, S3, ELB, RDS, SQS, EBS, VPC, EBS, AMI, SNS, RDS, EBS, Cloud Watch, Cloud Trail, Cloud Formation GCP Config, Autoscaling, Cloud Front, IAM, R53.

Utilize AWS CLI to automate backups of ephemeral data-stores to S3 buckets, EBS and create nightly AMI’s for mission critical production servers as backups.

Used Chef for configuration management of hosted Instances within GCP. Configuring and Networking of Virtual Private Cloud (VPC).

Worked on google cloud platform (GCP) services like compute engine, cloud load balancing, cloud storage, cloud SQL, stack driver monitoring and cloud deployment manager.

Work with various teams to support both on-prem and cloud-based applications, also actively involved in migrations and the lift and shift process.

Responsible for setup the JIRA administering and maintaining Atlassian JIRA and technical support and training, maintained documentation, customized software as workflow setup, setup sandbox windows server.

Set-up databases in GCP using RDS, storage using S3 bucket and configuring instance backups to S3 bucket. prototype CI/CD system with GitLab on GKE utilizing Kubernetes and Docker for the runtime environment for the CI/CD systems to build and test and deploy.

Configured dashboards for Kibana, Wily and Splunk for the production application monitoring and set up the email alerts and the notification configuration.

Managed wide range of infrastructure upgrades, expansion, scaling and troubleshooting on the most challenging, complex environments including the legacy applications.

Building/Maintaining Docker/ Kubernetes container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP.

Extensive experience with git for getting code push and pull from repository with chef.

Worked DevOps methodologies and cloud infrastructure automation tools like GCP by using Ansible.

Provisioned the highly available EC2 Instances using Ansible and cloud formation

Have knowledge om partition of Kafka messages and setting up the replication factors in Kafka cluster.

Setup Alerting and monitoring using Stackdriver in GCP.

Build servers using GCP, importing volumes, launching EC2, RDS, creating security groups, auto-scaling, load balancers (ELBs) in the defined virtual private connection.

Profusely worked on Version control tools like Clear Case to track changes made by different people in source code.

Maintained and developed Docker images for a tech stack including Cassandra, Kafka, Apache, and several in house written Java services running in Google Cloud Platform (GCP) on Kubernetes.

Extensively used Google stack driver for monitoring the logs of both GKE and GCP instances and configured alerts from Stack driver for some scenarios.

Performed tasks like adding user’s id to Clear Case group and code line to give permissions to access & lock code line for specific users.

Worked on google cloud platform (GCP) services like compute engine, cloud load balancing, cloud storage, cloud SQL, stack driver monitoring and cloud deployment manager.

Setting GitLab Repository and Runner for build automation.

Experience in building Docker images using GitLab-ci build automation runner.

Worked with various databases such as MongoDB, DynamoDB and other DB teams to support the GCP migrations.

Used Kubernetes to orchestrate the deployment, scaling and management of Docker Containers.

Provide training to technical and non-technical teams to use Atlassian tools.

Create IAM groups and users for the login access and provide security Group in both Public and Private Subnets in VPC.

Installed Red Hat Linux using Kick-start and applying security policies for hardening the server’s based on company’s policies. Performed resolving hostnames, SSH key less login.

Investigated various products from Atlassians JIRA.

Used Jenkins pipelines to drive all micro services builds out to the Docker Registry and then deployed to Kubernetes, created pods and managed using Kubernetes.

Utilized Kubernetes and docker for the run time environment of the CI/CD system to build, test and deploy.

Demonstrable experience designing and implementing complex applications and distributed systems into public cloud infrastructure (AWS, GCP etc.…)

Building/maintaining Docker container clusters managed by Kubernetes.

Manage Branching, labeling, and Analyzing and resolving conflicts related to merging of source code in GIT and implemented a continuous Integration and Delivery pipeline using Docker, Jenkins, and GIT. And used Jenkins pipeline plugin to analyze the Maven dependencies and the SCM changes.

Maintaining the servers like Registry servers. Installed patches for Red Hat Linux servers.

Installed patches, Software Upgradation and performed backup for Linux servers.

Worked on Inbound and Outbound services with automation CHEF. Deployed multiple resources simultaneously, using Cloud Formation templates in AWS.

Environment: AWS (EC2, VPC, ELB, S3, RDS, Cloud Trail and Route 53), VDI, Linux, Ansible, Git version Control, VPC, AWS EC2, S3, Route53, EBS, IAM, ELB, Cloud watch, Cloud Trial, Cloud Formation, AWS CLI, AWS Auto Scaling, GCP, Maven, Jira, Nagios, Subversion, Jenkins, Chef, Puppet, Ansible, Mesos, Docker, Python.

Client: Liberty Mutual (Dover, NH) Aug 2018 - Jan 2019

Title: DevOps Engineer (Middleware)

Responsibilities:

Build expertise in Workflow for Amazon Web services including Security Groups, IAM, EC2, S3, ELB, EBS, Policy, VPC, Docker, Kubernetes, Cloud Formation, Chef, Jenkins Vagrant, Apache, Tomcat, Git and GitHub.

Designing and deploying a multitude of applications utilizing almost all the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto scaling in AWS Cloud formation.

Migrating a production infrastructure into an Amazon Web Services utilizing AWS Cloud Formation, Code Deploy, EBS and Ops Works. s

Used Kubernetes to orchestrate the deployment, scaling and management of Docker containers.

Build servers using AWS, importing volumes, launching EC2, RDS, creating security groups, auto-scaling, load balancers (ELBs) in the defined virtual private connection and open stack to provision new machines for clients.

Experience in Designing, Architecting and implementing scalable cloud-based web applications using AWS and GCP.

Set up a GCP Firewall rules in order to allow or deny traffic to and from the VM's instances based on specified configuration and used GCP cloud CDN (content delivery network) to deliver content from GCP cache locations drastically improving user experience and latency.

Designed, configured, and managed public/private cloud infrastructures utilizing Amazon Web Services (AWS), including EC2, Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables, Elastic Load Balancer, Cloud Watch and IAM.

Migrated applications to the PKS, GCP cloud.

Experience on Deployment Automation & Containerization (Docker, Kubernetes).

Implemented AWS high availability using AWS Elastic Load Balancing (ELB), which performed a balance across instances in multiple Availability Zones.

Setup and build AWS infrastructure various resources like VPC, EC2, S3, IAM, EBS, Security Group, Auto Scaling, and RDS in Cloud Formation JSON template

Automated OpenStack and GCP deployment using Cloud Formation, Ansible also deployed and administered Open stack services.

Deployed microservice on boarding tools, Jenkins allowing for easy creation and maintenance of build jobs and Kubernetes deploy and services.

Configuring Test Cases as part of build in GitLab Runner.

Compile and analyze development and operational bug reports. Also Install, Upgrade Atlassian products.

Performed ALM customizations as per the story requirements.

Responsible for analyzing current and future business needs in relation to ALM requirements, identifying potential gaps, evaluating options, and ensuring delivery of solutions.

Worked with Docker on multiple cloud providers, from helping developers build and containerize their application (CI/CD) to deploying either on public or private cloud.

Involved actively in building the Docker images, deployment configurations to deploy applications on OpenShift. Developed Ansible playbooks to do automated recovery process upon the failure of OpenShift MASTER.

Setup Alerting and monitoring using Stack driver in GCP.

Developed Chef Cookbooks to manage system configuration and for Tomcat, MySQL, Windows applications and versioned them on GIT repositories and Chef Server.

Worked with CHEF Enterprise Hosted as well as On-Premises, Installed Workstation, Bootstrapped Nodes, Wrote Recipes and Cookbooks & uploaded them to CHEF-server, Managed On-site OS/Applications/Services/Packages using CHEF.

Used Elasticsearch, Logstash and Kibana (ELK) for maintaining system Logs and Bugzilla for tracking code bugs.

Maintained ELK (Elastic Search, Log stash, Kibana) Stack for Searching, routing, and visualizing Logged Data.

Worked on IBM Rational ClearCase and Multisite administration knowledge on build and release process.

Experience in writing the Unix and shell script in order to automate the process of daily monitoring, build and deployment activities.

Involved in supporting cloud instances running Linux and Windows on AWS, experience with Elastic IP, Security Groups and Virtual Private Cloud in AWS.

Used tracking tool JIRA and triaged the issues and maintained bugs using JIRA tool. Maintained JIRA for tracking and updating project defects and tasks ensuring the successful completion of tasks in sprint.

Supported 24/7 environment with an on-call rotation support.

Environment: Amazon Web Services (AWS), chef, Docker, Jenkins, Maven, Ansible, ELK, Tomcat, Shell, WebLogic, WebSphere, JIRA, GIT, Python, GCP, Linux.

Client: Hexaware Technologies (Chennai, India) July 2014 - May 2017

Title: Devops Engineer/Site Reliability Engineer

Responsibilities:

Provide end-to-end middleware platform with automation across application delivery lifecycle with streamlined & standardized process, hence improving developer productivity

Build application environments and maintain stability and uptime.

Provide architectural and design best practices and feedback on application design

Configured IBM WAS 8.x/7.0/6.1 (ND) and WebSphere Portal Server 8.x/7.0 on AIX, RHEL and Sun Solaris

Responsible for Installing and configuring ALM on clustering and load balancing on servers and installing Client components on client machines.

Hands on experience on GCP services like Kubernetes Engine, Compute Engine, App Engine, Cloud Functions.

Created alerts and monitoring dashboards using Prometheus and Grafana for all microservices deployed in GCP.

Performed ALM administration & Maintenance which includes issue resolution.

Applied fix packs, refresh packs and cumulative fixes for WAS7.0/6.1, IBM HTTP Server products

Performed migration tasks from WAS 7.0 to 8.0 on AIX and WAS 7.0 to 8.0 on RHEL 6.0

Performed installation and configuration of IHS 8.x/7.0/6.x, plugins on local and remote boxes.

Configured cluster environments to provide Scalability, Reliability and High Availability for various environments.

Experience in Google Cloud components, Google container builders and GCP client libraries and cloud SDK’s.

Worked on WLM (Workload Management) for load balance the requests

Installed EARs, WARs, and configured application specific JVM settings, Web container parameters using the Admin Console and WSADMIN.

Troubleshoot on issues such as Node federation and synchronization with Network Deployment

Troubleshoot remote network issues and traffic routing issues

Worked on Installations, configuration, and administration of WebSphere MQ Server 7.x/6.0

Created and configured MQ Series Objects like Queue Manager, Queue and Channels etc.

Configured MQ series servers using the Point-point channels and Cluster Channels

Provided support for the entire cycle of application deployment including building applications, deploying, and troubleshooting

Troubleshoot the Memory issues such as Memory leaks, Hung sessions, out of memory issues and session replication

Worked on problem tracing and WebSphere log file managements using Tivoli performance viewer

Implemented periodic testing and support of Web Environments with respect to High Availability and Disaster Recovery Environments

Environment: IBM WebSphere Application Server 8.x/7.0/6.1, WebSphere Portal Server 8.x/7.0, IBM HTTP

Server, WebSphere MQ 7.x/6.0, Oracle 11g/10g, IBM DB2, Clarify ticketing tool, CA Wily Introscope, Tivoli

Performance Viewer, RHEL, AIX,GCP, Sun Solaris

Master’s in information technology, Wilmington University, DE. (2020)

Bachelor of Technology in Computer Science and Engineering, JNTU, Hyderabad, India (2014)



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