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Aws/devops Engineer Resume

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MN

SUMMARY:

  • Over 6 years of experience in IT industry comprising of delivery, management, provisioning and development in cloud development.
  • Experience in Infrastructure Development and Operations involving AWS Cloud platforms, EC2, EBS, S3, VPC, RDS, SES, ELB, Auto scaling, Cloud Front, Cloud Formation, Elastic Cache, Cloud Watch, SNS.
  • Strong Experience on AWS platform and its dimensions of scalability including VPC, EC2, ELB, S3 and EBS, ROUTE 53.Using Continuous integration, and delivery practices for multiple environments in AWS.
  • Experienced in setting up of AWS relational databases like MYSQL, MSSQL and NoSQL database DynamoDB.
  • AWS IAM roles, policy and user management using Infrastructure as Code wif AWS CloudFormation.
  • AWS VPC, Subnet, Internet Gateway, Security groups, NACLs and NAT Gateway deployment and management using Infrastructure as Code wif AWS CloudFormation.
  • Deployed application which is containerized using Docker onto a Kubernetes cluster which is managed by Amazon Elastic Container Service for Kubernetes (EKS). Configured ; Kubectl ; to interact wif Kubernetes infrastructure and used AWS Cloud Formation Templates (CFT) to launch a cluster of worker nodes on Amazon EC2 instances.
  • AWS stack create, update, delete and management using the AWS CloudFormation.
  • Programming experience wif Python. IaC building using AWS CloudFormation.
  • Microservices development using AWS services like API Gateway, Lambda, Amazon SNS, Amazon SQS and DynamoDB.
  • Working on AWS services using console, CLI and Boto3 APIs on day - to-day basis.
  • Understands the concept of self-service environment in an enterprise.
  • Working on the provisioning and managing of PaaS and IaaS for an internal client.
  • Knowledge of three tier architecture for application deployment using Amazon EC2, Elastic Load balancer and Amazon RDS.
  • AWS Cloud integration wif ServiceNow for CMDB management and for infrastructure as service.
  • AWS Associate level certifications and preparing for Professionals.

TECHNICAL SKILLS:

Programming Language: Python, AWS SDK for Python Boto3, learning AWS CDK

Infrastructure as Code: CloudFormation

Compute: Amazon Lambda, Amazon EC2

Database: Amazon DynamoDB

Networking: Amazon VPC, Subnets, Security Groups and NACLs

Storage: Amazon S3, Amazon EFS and EBS

CI/CD: AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy and AWS CodePipeline,Git/Github

Security: AWS Infrastructure and Access Management (IAM), Roles, Policies and Users management

Monitoring: AWS X-Ray, Amazon Cloudwatch and CloudTrail

Operating System: Windows

Other AWS: Amazon EC2 Auto Scaling, Elastic Load Balancer, Amazon RDS, Amazon SQS and Amazon SNS

Non-Technical Skills:

  • Working under the Agile methodology. Participating in scrum calls.
  • Participating in sprint planning.
  • Working on ticketing system for ServiceNow.
  • Working on Jira.
  • Documentation management wif Confluence and SharePoint

PROFESSIONAL EXPERIENCE:

Confidential

AWS/DevOps Engineer

Responsibilities:

  • Working on AWS integration wif ServiceNow wif AWS Service Catalog.
  • Under the self-service, automate the process of AWS infrastructure provisioning when requested from ServiceNow.
  • Building AWS Service Catalog products for provisioning, maintaining and deleting the AWS infrastructure.
  • Virtualized the servers onAWS/Azureusing the Docker, create the Docker files and version control.
  • Creating AWS Cloud formation templates and they are used by Service Catalog to create the AWS infrastructure.
  • Updating and maintaining Configuration Items (CI) in ServiceNow CMDB for cloud infrastructure.
  • Experience wif container-based deployments using Docker, working wif Docker images, Docker Hub and Docker-registries and Kubernetes.
  • Wif the current development, users can request for EC2, S3, RDS, DynamoDB Tables, SNS, SQS, Lambda, three tier stack and IAM user management.
  • Users can also create the S3 bucket and manage their lifecycle policies, versioning and permission.
  • Building/Maintaining Docker container clusters managed by Kubernetes.
  • Following Agile methodology for this project. Participating in the scrum meetings. Working on stories for developments and participating in demos at the end of the sprint.
  • Used Elastic Container Service (ECS) to support Docker containers to easily run applications on a managed cluster of Amazon EC2 instances.
  • Working wif architects and senior developers to understand the requirement and developing accordingly.
  • Manually testing the newly developed code for different services and also after any changes in the code.
  • Managing, writing and getting approvals on test cases for CloudFormation testing.
  • Creating “How to use” documentation for the work wat we are doing.

Confidential

Cloud Engineer

Responsibilities:

  • Developed a serverless GxP compliance automation solution for the AWS services in all AWS accounts under the organization.
  • Automation solution works to check the compliance for different services like EC2, EC2 Autoscaling, S3, Lambda, RDS (Oracle and MS SQL), ALB, EBS, EFS, SQS, SNS, DynamoDB.
  • Worked on this serverless solution using the Python, AWS SAM (API Gateway and Lambda) and Boto3.
  • Code deployment in test environment and promoting to QA and Production environment after an approval using the AWS Codepipeline.
  • Worked wif senior developers, architects and testing team to get requirements and problem solving.
  • Worked wif auditors to help them, how to get access and download the reports for different accounts and environment.
  • Coordinating wif different team on how to use the API for this solution, how to start tests, how to get the reports.
  • Worked wif different teams on bug reporting in the solution, reporting and documenting the bug and fix the bug.
  • Created the Amazon QuickSight solution to get the test results, download current and old reports.
  • Worked on different documentations of the solution. Documentation on solution development, end-user documentation, and FAQ and contacts documentation.

Confidential, MN

Cloud Support Associate

Responsibilities:

  • AWS Cloud services provisioning for internal clients using AWS console and scripts. Services like S3, SNS, SQS, EC2 and Lambda functions
  • Gathering information like Application ID, environment and more and creating three tier architecture for customer using pre-build scripts.
  • Work wif internal customer for new AWS account creation by gathering information like Account Purpose, Billing, contact information and more details.
  • Generating different kind of reports for AWS infrastructure for auditing and budgeting purpose.
  • Granting and removing permissions for users and applications using IAM.
  • Manage permissions by creating new role, modifying policies wif existing roles and managing group permissions using AWS console.
  • Monitoring AWS Cloudwatch for any alerts and inform on-call if needed.
  • Worked wif on-calls, senior team members and internal customers for operations outages and performance related issues.
  • Raise change request for upcoming scheduled changes. Follow up on change approvals and ensure the change request is approved on time.
  • Create runbook for the day-to-day operation and get the runbook approved from the senior team members and managers.
  • Worked on monthly and quarterly survey to get the customer feedback on operation team performance.
  • Creating shell script to solve mundane tasks and automate it wif inhouse automation.

Confidential, Alexandria, VA

IT Support Engineer

Responsibilities:

  • Respond to customer support requests dat come in via phone, email, chat, or ticketing
  • system.
  • Provision IT infrastructure for internal customer when new tickets is being raised by the customer.
  • Collaborate wif Tier 2 and Tier 3 technicians on escalated customer support requests
  • Monitor alerts and alarms for IT systems and inform operations team and on-call.
  • Arrange conference bridge for on-call support team and other team members at the time of business impacted operations outages.
  • Follow-up and arrange the meetings of responsible parties to find out the root cause of an outage.
  • Work in different shifts to cover the operations.
  • Document resolutions and build knowledge base articles

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