Cloud Engineer, DevOps Engineer, Infrastructure Engineer

SAHAJEED B. MIYA

Sr. Cloud, DevOps, Infrastructure Engineer

609-***-**** ~ Open for anywhere in US

Summary of Qualifications:

oResults-driven IT Professional with over 9 years of experience as a DevOps Engineer specializing in Software Configuration Management (SCM), Environment Management, and Build/Release automation across multiple environments.

oStrong understanding of software configuration management (SCM) principles and best practices across Agile, Scrum, and Waterfall methodologies.

oExcellent understanding of the principles and best practices of software configuration management (SCM) in agile, scrum and waterfall methodologies.

oExtensive experience in implementing DevOps strategies using major Cloud platforms including AWS, Azure, and GCP — focusing on infrastructure automation, CI/CD pipelines, configuration management, and monitoring of microservices-based applications.

oStrong command of CI/CD tools such as Jenkins and GitLab; automated testing using JUnit and Selenium; deployment and configuration management using Puppet and Chef; containerization and orchestration using Docker, Kubernetes, and OpenStack.

oProficient in a wide range of AWS services including EC2, S3, IAM, VPC, RDS, Lambda, CloudFormation, CloudWatch, CloudTrail, ELB, Auto Scaling, DynamoDB, ElastiCache, SNS, SQS, Glacier, Beanstalk, EMR, and Workspaces.

oSkilled in writing Dockerfiles to build custom images, managing Docker registries, and deploying containerized applications.

oExperienced in migrating on-premise infrastructure to AWS and private clouds using CloudFormation templates, custom AMIs, and infrastructure as code practices.

oHands-on experience with build tools such as Gradle, Maven, and Ant for generating deployable artifacts (WAR/EAR) from source code.

oProficient in source control using GIT (GitHub), SVN, and implementing branching strategies for collaborative development workflows.

oExpert in provisioning & managing Kubernetes clusters for deploying and scaling microservices in production environments.

oSolid background in web and application servers including Apache HTTP Server, Nginx, and Apache Tomcat.

oDeep understanding of infrastructure automation using Ansible; developed playbooks for application deployment and server configuration, integrated with Jenkins and RunDeck for orchestration.

oProficient in using Terraform for infrastructure provisioning, management, and versioning, with seamless integration into Jenkins pipelines.

oStrong experience in monitoring and logging using tools like Prometheus, Grafana, CloudWatch, Splunk, ELK stack (Elasticsearch, Logstash, Kibana), New Relic, and AppDynamics.

oKnowledgeable in networking services and protocols such as TCP/IP, DNS, FTP, SSH, VPN, Load Balancing, Firewalls, Subnets, HTTPS, SMTP, and CDN.

oWell-versed in ticketing and tracking tools including JIRA, Bugzilla, and ServiceNow.

oTechnical expertise in Python, Linux/Unix, MySQL, and networking; adept at working across platforms such as Ubuntu, RHEL, CentOS, Fedora, iOS, and Windows.

Technical competencies:

Cloud Platforms: GCP, AWS, Azure

GCP Cloud Services: Google Kubernetes Engine (GKE), cloud functions, cloud build, Pub Sub, Big Query, Data flow, Stack Sriver

AWS Cloud Services: EC2, IAM, ASG, VPC, ELB, Elastic Search, Lambda, Route 53, EMR, Kinesis, Athena, S3, SQS, Cloud Formation, CloudWatch, Cloud Trail

Containerization & Orchestration: Docker, Kubernetes, Aws ECS, Docker Swarm

Configuration Management Tools: Ansible, Chef, Puppet

Infrastructure as code: AWS CloudFormation, Terraform

SCM Tools: SVN, GIT, GIT Hub, Bit Bucket

Build Tools: Gradle, Maven, Ant

CI Tools: Jenkins, AWS code build

Monitoring Tools: Splunk, Nagios, NewRelic, CloudWatch, Datadog

Bug Tracking: JIRA, Bugzilla

Languages: Java, Python, Angular, Shell Scripting, Power Shell, JavaScript

Artifactory Management: Nexus, JFrog

Web Servers: Apache, Nginx, Apache Tomcat

Web Technologies: HTML, CSS, JavaScript

Database Systems: MySQL, MongoDB, Oracle, NoSQL, SQL, DynamoDB

Operating Systems: Windows, Linux (REDHAT, Ubuntu, CentOS), Mac

Professional Experience:

Client: Eye Care Leaders - Durham, NC Jan 2022 - Present

Role: Sr. Cloud, DevOps, Infrastructure Engineer

oEffectively worked on Amazon Web Services (AWS) in provisioning the infrastructure.

oDesigned, 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.

oWorked on many AWS services such as EC2, RDS, Route53, AWS Backup, FSx, Privatelink and so on.

oMigrated virtual machines from on-premises to AWS using HCX, reducing operational costs by 20%.

oIntegrated PKI with applications and systems like web servers and VPNs.

oManaged certificate lifecycle (issuing, renewing, revoking) using a Certificate Authority.

oEngaged with Developers team for implementation and management of microservices.

oWrote Ansible Playbooks to manage nodes and test those playbooks on AWS instances using Python.

oInvolved with security team working on simplifying security integration for using the latest remediation methods.

oDeveloped CICD pipelines for Java applications, Angular applications using Jenkins, used Maven to build the application, add webhook triggers for the change sets.

oWorked on databases like MySQL, RDS, Postgres, DynamoDB and so on.

oSupported the Team in migrating the AWS resources from one account to another.

oUtilized AWS Database Migration Service (DMS) to migrate relational databases across AWS accounts with minimal downtime.

oWorked on provisioning environments for Engineering and QA as per the requirements.

oDeveloped the CICD systems using GIT and AWS Developer tools like Code Commit, Code Build, Code Pipeline and Code Deploy.

oImplemented Infrastructure as Code (IaC) using Terraform Enterprise for provisioning and managing cloud resources. Use Terraform Enterprise’s built-in backend to manage the Terraform state files.

oAdministered Active Directory and ensured proper functioning of Kerberos within the domain.

oDeveloped and maintained Python and Shell scripts to automate routine tasks.

oImplemented and maintained monitoring of production servers such as EC2 and storage such as S3 buckets using AWS Cloud Watch and Datadog.

oManaged configuration updates, patching and SentinelOne agent installation in many VMware VMs using Ansible playbook.

oAdministered NetApp storage systems including creating and managing volumes, configured and maintained NFS shares.

oMigrated data between different NetApp storage systems.

oProvided the Application support to the clients and team members.

oMigrated S3 buckets and EC2 resources across AWS accounts using S3 Replication and Datasync.

oDeployed and managed containerized applications using Kubernetes (EKS).

oUsed Athena and QuickSight to report on data ingested using AWS Glue.

oWorked on Datadog for monitoring the application server’s metrics, created alerts and also integrated Datadog with Microsoft Teams.

oWorked in automating Terraform workflows using GitHub Actions.

oEnhanced cloud security using AWS Config, Inspector, CloudTrail, AWS CloudHSM and SCPs.

oWorked in container-based deployments using docker images, docker hub, and so on.

oUsed AWS CloudWatch to monitor metrices of the servers and created the necessary alerts as well.

oHandle migration of on-premises applications to cloud and create resources in cloud to enable this. Use all critical AWS tools.

oUse ELBs and Auto-Scaling policies for scalability, elasticity, and availability.

oBuilt and Maintained Docker container clusters managed by Kubernetes, Linux, Bash, GIT, Docker, on AWS.

oIntegration of Automated Build with Deployment Pipeline.

oInstalling, configuring and managing the databases like MySQL, NoSQL, DB2, PostgreSQL, MongoDB, DynamoDB.

oInstalled Chef Server and clients to pick up the Build from Jenkins repository and deploy in target environments (Integration, QA, and Production).

oSupported team members in cost optimization and Compliance on AWS resources.

Environment: AWS, Bitbucket, Code Commit, Code pipeline, Code Deploy, Datadog, CloudWatch, Jira, Linux, Windows, Ansible, Python, VMC

Client: Cerner - Kansas City, MO April 2020 - Dec 2021

Role: Cloud, Devops Engineer

oDeveloped and maintained the Continuous Integration and Deployment systems using GIT and AWS developer tools like CodeBuild, CodePipeline and CloudFormation.

oCreated branches and managed the source code for various applications in GIT.

oDeveloped AWS Cloud Formation templates to create custom sized VPC, subnets, EC2 instances, ELB, Security Groups.

oConfigured AWS Lambda functions to automate routine maintenance tasks.

oCreated and Deleted Infrastructures in AWS as a single unit using AWS CDK.

oIncreased security visibility using independent cybersecurity assessment.

oCreated Python Scripts to Automate AWS services which include web servers, ELB, EC2 and database security groups, S3 bucket and application configuration.

oDesign, configure, and deploy Amazon Web Services (AWS) for multiple applications using the AWS stack (EC2, Route53, VPC, S3, RDS, Cloud Formation, Cloud Watch, SQS, IAM) with focus on high availability, fault tolerance, and auto-scaling.

oConfigure ELK stack in conjunction with AWS and use Logstash to output data to AWS S3.

oCreate automation and deployment templates for relational and NoSQL databases, including MSSQL, MySQL, Cassandra, and MongoDB in AWS.

oWorked on Container-based deployments using Docker, working with Docker images, Docker Hub and Docker -registries.

oBuilt Docker images for Java applications and optimized Dockerfiles for faster builds.

oUsed Athena and QuickSight to report on data ingested using AWS Glue.

oDevelop procedures to unify, streamline, and automate applications development and deployment procedures with Linux container technology using Docker Swarm and Docker Compose.

oCluster Docker Containers with the help of Kubernetes on the OpenShift platform.

oPerformance Tuning of Docker runtime & Kubernetes Framework and Application through NewRelic and ELK.

oImplemented and maintained Kerberos authentication for enterprise applications.

oIncreased user satisfaction providing them excellent technical support and problem resolution.

oImplement AWS Code Pipeline and create CloudFormation JSON templates for infrastructure-as-code.

oCreate Chef Cookbooks and write recipes in Ruby Script to install and configure infrastructure across environments and automate the process using Python Script.

oAutomate the cloud deployment using Chef, Python, and AWS CloudFormation Templates. Use Chef for unattended bootstrapping in AWS.

oMaintain high-availability clustered and standalone server environments and refine automation components with scripting and configuration management (Ansible) and write Ansible scripts.

oUsed New Relic for metrics monitoring of applications in a cloud-based environment.

oConvert 60+ existing Jenkins jobs into the new pipeline process.

oBuild Jenkins jobs to create AWS infrastructure from GitHub repos containing Terraform code and administer/engineer Jenkins for managing weekly builds.

oIntegration with CloudWatch for API traffic monitoring and health check.

oChip away at AWS SQS to consume information from S3 buckets.

oProvide time to time help to Spring/Spring Boot developers in testing and plugins used for the containerization of the application and also sometimes on coding.

Environment: AWS, GIT, Code build, Code pipeline, NewRelic, Jira, Linux, Python

Client: Fifth Third Bank - Cincinnati, OH Jan 2019 - Mar 2020

Role: Cloud, DevOps Engineer

oEffectively involved in CI/CD process using GIT, Nexus, Jenkins job creation, Maven build and Create Docker image and use the docker image to deploy in GKE clusters.

oImplemented PaaS, IaaS, SaaS style delivery models inside the Enterprise (Data center) and in Public Clouds using like AWS, Google Cloud, and Kubernetes etc.

oProvision environments for Engineering and QA as per the requirements and chasing timelines.

oSetting up Kubernetes (k8s) Clusters for running micro services. Took several micro services into production with Kubernetes backed Infrastructure.

oCreated dynamic routing/load balancing capability enabling large application scaling, used ingress rules and Ingress Controllers - Nginx.

oTested Chef Cookbooks on cloud instances in AWS by using Test Kitchen and Chef Spec.

oWorked with ELK stack and New Relic for aggregating logs from all systems and applications, analyze these logs and create visualization for applications and infrastructure monitoring, faster troubleshooting, security analytic and more.

oOrchestrated CI/CD processes by responding to GIT triggers, human input, and dependency chains and environment setup.

oWorked on Dynatrace APM, also implemented Dynatrace on different cloud technologies like AWS and Azure

oSetup Alerting and monitoring using Stackdriver in GCP.

oDeveloped a continuous deployment pipeline using shell scripts in Jenkins.

oContainerized all the ticketing related applications - Spring Boot Java and Node.js applications using Docker.

oWorked with Engineering and upstream teams on day-to- day environment issues on DEV and TEST env.

oScheduled, deployed and managed container replicas onto a node cluster using Kubernetes.

oDeployed micro services in Prod.

oCreated and managed development (Dev), quality assurance (QA), user acceptance test (UAT), performance testing (PT), production (PROD) and disaster recovery (DR) environments and each environment has close to 10 instances having separate VPC per environment.

oTroubleshoot the problems generated while building and deploying.

oConfigure and managed Virtual Machines, Storage accounts, network security groups and applications using AWS.

oWorked on Jenkins file with multiple stages like checkout a branch, building the application, testing, pushing the image into GCR, deploying to QA, Deploying to PERF, Acceptance testing and finally Deploying to Prod.

oManaged Docker orchestration and Docker containerization using Kubernetes. Used Kubernetes to orchestrate the deployment, scaling, and management of Docker Containers

oDeployed pods using Replication Controllers by interacting with Kubernetes API server defining through declarative YAML file.

oExtensively worked on databases like MySQL, RDS and MongoDB.

oWrote multiple Python, and Shell scripts for various companywide tasks.

Environment: AWS, Google Cloud Platform (GCP), Azure Kubernetes, GitHub, Jenkins, Docker, JIRA, Unix/Linux CentOS 7, Nexus V3, Bash Shell Script, Python, Node.js, Apache Tomcat, MongoDB, SQL, Nginx, RHEL 7, Stack driver, Splunk, Cavesson, ServiceNow, JIRA

Client: Comcast - Philadelphia, PA Mar 2018 - Dec 2018

Role: Cloud, DevOps Engineer

oEffectively worked on Amazon Web Services (AWS) provisioning and good knowledge of AWS services like EC2, S3, AMI, ELB (Load Balancers), RDS, SNS, SQS, Auto Scaling, VPC and EBS.

oBuild server deployment on Cloud (EC2) servers with help of DevOps tools like Ansible.

oCreated monitors, alarms and notifications for EC2 hosts using Cloud Watch.

oDeveloped and maintained the Continuous Integration and Deployment systems using GIT, Jenkins, Maven, and Nexus.

oWorked on Google Cloud Platform (GCP) services like compute engine, cloud load balancing, cloud storage, cloud SQL, stack driver monitoring and cloud deployment manager.

oDefined dependencies and plugins in Maven pom.xml for various activities and integrated Maven with GIT to manage and deploy project related tags.

oResponsible for nightly and weekly builds for different modules.

oIntegrated source control and versioning by using GIT.

oSupport different projects Build & Release SCM effort like branching, tagging, merge etc.,

oManaged Ansible Playbooks with Ansible roles.

oManaged, changed the Infrastructure with the help of versioning tool like Terraform

oUsed file module in Ansible playbook to copy and remove files on remote systems

oImplemented and designed AWS virtual servers by Ansible roles to ensure deployment of web applications.

oResponsible for configuring management of different application layer modules.

oCreated Python Scripts to Automate AWS services which include web servers, ELB, Cloud front Distribution, database, EC2 and database security groups, S3 bucket and application configuration, this St creates stacks, single servers or joins web servers to stack.

oUsed Kubernetes to deploy scale, load balance, scale and manage agile containers with multiple namespace versions.

oBuild server deployment on Cloud (EC2) servers with help of DevOps tools like Ansible.

oLeveraging kops implemented a Kubernetes Container Orchestration solution within AWS allowing for easy management, creation and recovery of assets

oCreated monitors, alarms and notifications for EC2 hosts using Cloud Watch.

oConfigured Apache webserver in the Linux AWS Cloud environment using Ansible automation.

oUsed Urban Code Deploy, Manage deployment target features like roles, permissions, approvals with built-in tools.

oUsed Terraform Interface between Jenkins and AWS to implement auto scaling, cloud watch in Jenkins.

oConfigured Elastic Load Balancers with EC2 Auto scaling groups.

oWorked on creation of Docker containers and Docker consoles for managing the application life cycle

oUsed Docker containers for eliminating a source of friction between development and operations.

oCreated and managed a Docker deployment pipeline for custom application images in the cloud using Jenkins.

oUsed Splunk to monitoring/metric collection for applications in a cloud-based environment.

Environment: AWS, GIT, Jenkins, Maven, Ansible, Nexus, Jira, Linux, Python, WebLogic, Docker, Kubernetes, Splunk, Terraform, Apache, and Ruby

Client: Cummins - Columbus, IN Mar 2017 - Feb 2018

Role: Cloud, DevOps Engineer

oExtensively worked on AWS services/tools like IAM, S3, Cloud Front, EC2, EBS, AMI, ELB, CLI, Cloud Watch, VPC, Launch Configuration, Auto Scaling, ELB, EFS and Cloud Formation.

oSetting up scalability for application servers using command line interface for setting up and administering DNS system in AWS using Route53 Managing users and groups using the Amazon identity and access management (IAM).

oImplemented and maintained monitoring and alerting of production and corporate servers such as EC2 and storage such as S3 buckets using AWS Cloud Watch.

oUsed Cloud Front to deliver content from AWS edge locations to users, allowing for further reduction of load on front-end server.

oWorked on automated deployment of EC2 instances in data centers and availability zones.

oDeveloped AWS Cloud Formation templates to create custom sized VPC, subnets, EC2 instances, ELB, Security Groups.

oEnabling customers to better manage software development, deployments and infrastructure with tools such as Chef, Jenkins, and GitHub.

oIntegrated GIT into Jenkins to automate the code check-out process.

oCreated and implemented maven build scripts for the java applications and MS build for .net. Actively worked with application teams to understand current deploy process.

oDefined dependencies and plugins in Maven for various activities and integrated Maven with GIT to manage and deploy project related tags.

oImplemented and managed Docker and Kubernetes infrastructure and worked in DevOps group running Jenkins in a Docker container with EC2 slaves in Amazon AWS cloud configuration.

oAutomated the Applications and MySQL container deployment in Docker using Python and monitoring of these containers using Nagios.

oReduced build and deployment times by designing and implementing Docker workflow.

oConfigured Docker container for branching purposes.

oUsed Docker coupled with load-balancing tool Nginx to achieve Continuous Delivery goal on high scalable environment.

oOrchestration of Docker images and Containers using Kubernetes by creating whole master and node.

oCreating and handing cookbooks and recipes using Ruby in Chef workstation & Deploying them to various nodes.

oDeployed the content Cloud platform on Amazon AWS using EC2, S3, and EBS. Evaluate Chef and Puppet framework and tools to automate the Cloud deployment and operations.

oDeployed and configured Jira, both hosted and local instances for issue tracking, workflow collaboration, and tool-chain automation.

oWorked with various scripting languages like Bash, Perl, Shell, Ruby, PHP and Python.

oRan LAMP (Linux, Apache, MySQL, and PHP) systems in Agile quick scale cloud environment.

Environment: GIT, Maven, Chef, Puppet, DevOps, TFS, Jenkins, Unix, Linux, Perl, Bash, Ruby, Python, PHP, AWS, MongoDB, Nexus, Docker, Kubernetes, Splunk, Nagios, JIRA, Shell Script, WebSphere

Client: Bank of America - Dallas TX Feb 2016 - Feb 2017

Role: Linux Administrator

oEffectively involved in maintaining responsibility for the daily operations and maintenance of IT systems in an enterprise environment.

oResponsible for Installation, Maintenance, Administration and Troubleshooting of Red Hat Enterprise Linux Servers.

oWorked as part of a team to keep Linux OS systems maintained and optimized through daily patching, upgrading, and tuning when system maintenance was required.

oCreated and managed user accounts, security, disk space and process monitoring in Red Hat Linux.

oWorked on vCenter and vSphere configuration and deployment.

oUpgraded the VMware tools, VM's hardware on all the VM's as a part Upgrade process.

oDeveloped customer required applications using shell scripts for easy monitoring of Linux servers.

oWorked on installation, configuration and administration of Apache Tomcat Server.

oTroubleshoot various problems while working with VM during initialization, replacement, mirroring, encapsulating and removing disk devices.

oTroubleshoot server issues related to systems and applications such as Apache, DNS.

oCreated and maintained large file systems with DMX storage devices using VM.

oAdministered the Network issues and Resolving Operating Systems related issues (Linux) and making sure that the users get the proper environment for testing.

oAnalyzing Linux systems, check processes and log files, retrieve and review information contained within logs for troubleshooting.

Environment: Red hat Linux 5/6, CentOS, Apache, Nginx, Python, Shell, and VMware Workstation

Education:

oMaster’s Degree in Software Engineering (Graduated in 2013)

ITU - International Technological University - San Jose, CA

oMaster’s Degree in Computer Science (Graduated in 2011)

Arkansas State University - Jonesboro, AR

oBachelor’s Degree in Computer Science & Engineering (Graduated in 2006)

VT University - Belgaum, India

References: Provided upon request…

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