We provide IT Staff Augmentation Services!

Aws/devops Engineer Resume

2.00/5 (Submit Your Rating)

SUMMARY

  • Certified Professional with 5+ years of experience as AWS Engineer in highly available business applications for enterprise customers like Cloud Computing, Storage Administration, Network and Security
  • WS RDS, AWS VPC, Route 53, Elastic Beanstalk and IAM services.
  • Experience installing different types of fiber cabling.
  • Troubleshooting and resolving issues related to network devices, desktop hardware and various operating systems.
  • Experience in AWS mobile hub,Node JS and REST Services.
  • Worked on NoSQl databases like dynamodb and mangoDb.
  • Managing Amazon instances by taking AMIs and performing administration and monitoring of Amazon instances using Amazon Cloud Watch, Amazon Cloud Formation, AWS Cloud Trail and Handling Billing.
  • Creating a Highly Available Fault Tolerant Application Environment and aspects of Data Management, Security in AWS environment.
  • Experience in messaging services Simple Notification Service (SNS), Simple Queue Service (SQS).
  • Diverse knowledge on AWS Developer Tools like AWS Code Commit, AWS Code Deploy, AWS Code Pipeline.
  • Expertise in DevOps tools in integration with Amazon Web Services for Continuous Delivery & Automation, Monitoring Metrics and Logging, Security, Governance and Validation, High Availability and Elasticity.
  • Extensively worked on Configuration Management Tools Chef and Puppet.
  • Configured and monitored distributed and multi - platform servers using Chef. Defined Chef Server and workstation to manage and configure nodes. Worked with cloud platforms like Amazon Web Services.
  • Hands on experience in creation and management of cloud VM’s.
  • Hands on experience in using AWS EC2 command line clients.
  • Knowledge on Data Migration,Snap Mirror,Snap Vault and Snap Protecting Tools.
  • Creation and usage of S3 buckets and relative managed policies.
  • Using Glacier for functionalities like storage and backup on AWS. Extensive Experience on Storage provisioning, LUN creation, Masking and Mapping.
  • Performing Cloud Watch Alarm for instances.
  • Orgainzing Auto-scaling launch configurations for better performance.
  • Hands on working experience on NAS protocol.
  • Good Experience on tools namely Chef and Puppet .
  • Experience in dealing with Varonis Data Advantage Information Requests and using Elastic Bean Stalk.
  • Monitoring applications using Cloud Watch,Cloud Trail and Simple Notification Service which are deployed in Amazon Web Servcies.
  • Creation of security groups which behave as virtual firewalls to deal incoming traffic on EC2 instances.
  • Creation of AWS Identity and Access Management(IAM) users and groups for improved login functionalities and authentication.
  • Experience working with VERITAS Volume Manager and Veritas NetBackup.
  • Solaris, Linux, AIX and Windows platforms administration skills.
  • Worked on allocating NAS (NFS and CIFS) shares from NetApp Filers and EMC isilon.
  • Experience in NetApp tools, SAN Screen, On Command Insight, Filer View, Data Fabric Manager.
  • Well versed with NetApp DATA ONTAP Snap Mirror, storage planning, and data management, disaster recovery planning best practices and testing.
  • Identifying troubleshooting and resolving customer software & hardware issues in a NAS & SAN storage environment.
  • Participated installation and maintenance of disaster recovery procedures using VMware vSphere Client, ESX, ESXi, Snap Mirror and Snap Vault with Data ONTAP.
  • Worked on provisioning NAS and SAN storage for Linux, Windows, and Oracle, SQL, and VMWare hosts.
  • Provided support to troubleshoot the CIFS, NFS issues on NetApp Filer.
  • Experience in Administration of Storage to Multiprotocol Environments like CIFS and NFS in NetApp SAN/NAS environment.
  • Good experience in the planning and implementation of various Business Continuity and Disaster Recovery solutions available.
  • Managing the SnapMirror DR & Replication solutions & related issues.
  • Utilizing highly availableAWSEnvironment to launch the applications in different regions and implemented Cloud Front withAWSLambdato reduce latency.
  • Created micro service withAWSLambdaand S3 using Java to improvise the performance of the application.
  • Firewall using IPSEC VPN with Encrypted Tunnel which will be securely used for data and voice communication.
  • Build failover for IPSEC VPN tunnel with different Internet Service Provider.
  • Engaged in a broad range of specialized network/system functional areas, such as network systems engineering, network topology planning, network route planning,management of network configurations, and modeling and simulation of thenetworks/systems.

TECHNICAL SKILLS

Cloud Services: Amazon Web Services: EC2, S3, ELB, Auto scaling Servers, Glacier, Storage Lifecycle rules, Elastic Beanstalk, Cloud Front, Functional knowledge of Import/Export Snowball, Elastic Cache, RDS, Redshift, VPC, Direct Connect, Route 53, Cloud watch, Cloud trail, ops work, IAM & Roles, SQS, SNS subscription service

Configuration Management: Chef, Puppet, Ansible & Docker

Build Tools: Maven, Jenkins, Ant.

Basic Coding Skills: C, java, php, Shell Scripting, HTML, J2EE

Web Servers: Apache, Tomcat, Web Sphere, JBOSS

Version Control: GIT, Subversion(SVN), Git Hub

Bug Tracking tool: JIRA

Virtualization: VMware ESX/ESXi server 5.5/5.0, VSphere Client, Vagrant.

Network Protocols: TCP/IP, DHCP, VPN, FTP, SSH, WinSCP, Telnet, OSPF, EIGRP, IGRP, STP, PVSTP, RIP, RIPv2

Operating Systems: Redhat Linux 4/5/6/7, CentOS 5/6/7, Windows servers 2003, 2008, 2008 R2, 20122012R2, Windows 2000, XP, Windows 7

PROFESSIONAL EXPERIENCE

Confidential

AWS/DevOps Engineer

Responsibilities:

  • Good experience in Amazon Web Services (AWS) environment and good knowledge of AWS services like Elastic Compute Cloud(EC2), Elastic Load-balancers, Elastic Container Service (Docker Containers), S3, Elastic Beanstalk, CloudFront, Elastic Filesystem, RDS, DMS, VPC, Route53, CloudWatch, CloudTrail, CloudFormation, IAM.
  • Initiating Amazon EC2 Cloud Instances using Amazon Web Services (Linux/ Ubuntu) and managing and configuring launched instances with respect to specific applications.
  • Created detailed AWS Security Groups which behaved as virtual firewalls that controlled the traffic allowed to reach one or more AWS EC2 instances.
  • Managing Multiple AWS instances, assigning the security groups, Elastic Load Balancer and AMIs.
  • Auto scaling the instances to design cost effective, fault tolerant and highly reliable systems.
  • Configuring of Virtual Private Cloud (VPC) with networking of subnets containing servers.
  • Built S3 buckets and managed policies for S3 buckets and used S3 bucket and Glacier for storage and backup on AWS.
  • Setting Cloud Watch alerts for instances and utilizing in Auto-scaling launch configurations for better performance.
  • Developed and managed cloud VMs with AWS EC2 command line clients and management console.
  • Included security groups, network ACLs, Internet Gateways, and Elastic IP's to ensure a safe area for organization in AWS public cloud.
  • Created elastic load-balancers (ELB) for different applications to provide high performance of applications.
  • Utilized Amazon Route53 to manage DNS zones and also assign public DNS names to elastic load balancers IP's.
  • Used Amazon RDS which includes automatic failover and high availability at the database layer for MySQL workloads.
  • Good experience with Dynamo DB and RedShift.
  • Migrated test and use cases for applications to AWS cloud with public and private IP ranges to accelerate development productivity by decreasing test-run times.
  • Used Amazon IAM service to grant permission to assigned users and manage their roles
  • Utilized Cloud Front to transfer data from edge locations to users, thus enabling more decrement of load on front-end servers.
  • Created auto-scaling groups based on memory and CPU usage to handle excessive or underuse workload without needing manual interference.
  • Deployed and managed a private puppet infrastructure in AWS to deploy applications.
  • Developed and maintained puppet modules required for deploying different applications on EC2 instances.
  • Experience involved in the DevOps support team to debug architectural failures and ensuring high availability applications with desired performance.
  • Worked on call with support to communicate to site and service outage alerts 24/7.
  • Conducted trainings for a group of employees about infrastructure management using AWS services.

Environment: AWS EC2, S3, Tomcat Apache, CloudWatch, CloudFormation, DynamoDB, VPC, IAM, Docker, NagiOS, Grunt, Git, Chef, Linux, Data Centre Migration AWS, Jenkins.

Confidential

AWS Engineer

Responsibilities:

  • Implemented and maintained monitoring and alerting of production and corporate servers such as EC2 and storage such as S3 buckets using AWS Cloud Watch.
  • Experience in automated deployment of EC2 instances in data centers and availability zones.
  • Used security groups to develop a logical firewall to ensure high security for control applications.
  • Used Amazon IAM to grant fine access of AWS resources to users. Also managed roles and permissions of users to AWS account through IAM.
  • Used Cloud Front to deliver content from AWS edge locations to users, allowing for further reduction of load on front-end servers.
  • Set up Auto Scaling Groups based on memory and CPU to adapt to unforeseen spikes without having an outage or needing manual intervention.
  • Set up Elastic Load Balancers for different applications to ensure high availability of applications.
  • Used Amazon S3 to backup database instances periodically to save snapshots of data.
  • Used Amazon Route53 to manage DNS zones and also give public DNS names to elastic load balancers ip's
  • Integrated Maven with Subversion to manage and deploy project related tags.
  • Worked with TCP/IP network configuration.
  • Administered and Configured Logical Volume Manager which involved create and modify file system, logical volume, Physical volume, Volume groups, mirroring and un-mirroring of volume groups, hot spare physical volume.
  • Experience with firewalls, perimeter monitoring, formal policies pen testing, fuzzing, spoofing, repudiation DDoS, and human behavior.
  • Configuration Management Tools like chef, puppet, Ansible and Saltstack
  • Worked on HTML5, CSS3, jQuery, AJAX, IDS, App Sec, Network Sec,
  • Performed hardware and software installations, upgrades, and maintenance, patch administration, kernel modification/upgrades, file system management, performance, security analysis and network configuration/tuning.
  • Involved in backend solution, day to day Administration & Monitoring, File System Management and Disk Management.
  • Implemented CRUD functionality with Entity framework in ASP.NET MVC and implemented sorting, filtering and paging with Entity framework in MVC.
  • Worked on implementation and troubleshooting of network services like NFS, FTP, NTP,SSL, TLS SSH.
  • Worked in setting up Chef Infrastructure, Chef-repo and Bootstrapping chef nodes.
  • Used Jenkins, Chef, shell scripts to automate the code deployment & automation of continuous integration infrastructure (GIT and Nexus were also used in this process)
  • Documented release, builds and source control processes and plans.
  • Worked on building and deploying Java code through Jenkins and Chef.
  • Worked closely with development team and SQA team for product releases.
  • Worked on integrating GIT into the Continuous Integration (CI) environment along with Jenkins and Subversion.

Environment: AWS EC2, IAM, CLOUD WATCH, CLOUDFORMATION, Docker, JIRA, Chef, GIT, PUPPET, Jenkins, VMware, LINUX

Confidential 

Jr. AWS Engineer

Responsibilities:

  • Implemented and maintained monitoring and alerting of production and corporate servers such as EC2 and storage such as S3 buckets using AWS Cloud Watch.
  • Experience in automated deployment of EC2 instances in data centers and availability zones.
  • Used security groups to develop a logical firewall to ensure high security for control applications.
  • Used Amazon IAM to grant fine access of AWS resources to users. Also managed roles and permissions of users to AWS account through IAM.
  • Used Cloud Front to deliver content from AWS edge locations to users, allowing for further reduction of load on front-end servers.
  • Set up Auto Scaling Groups based on memory and CPU to adapt to unforeseen spikes without having an outage or needing manual intervention.
  • Set up Elastic Load Balancers for different applications to ensure high availability of applications.
  • Used Amazon S3 to backup database instances periodically to save snapshots of data.
  • Used Amazon Route53 to manage DNS zones and also give public DNS names to elastic load balancers ip's.
  • Used Cloud Watch logs to move application logs to S3 and create alarms raised by applications.
  • Configured an AWS Virtual Private Cloud (VPC) and Data Base subnet group for isolation of resources within AWS RDS.
  • Used Amazon RDS Multi-AZ for automatic failover and high availability at the database tier for MYSQL workloads.
  • Configured S3 Versioning and Life Cycle Policies to backup files and archive files in Glacier.
  • To design high availability applications on AWS across Availability Zones and availability regions.
  • Trained a group of employees about infrastructure management using AWS Management Console.
  • Developed and supported the Red Hat Enterprise Linux based infrastructure in the cloud environment.
  • Hands on experience with Chef in AWS Cloud environment
  • Designed continuous delivery tools/ configuration management tools like Puppet.
  • Installed, configured and managed Puppet Master and Agent.
  • Written CHEF cookbooks for various configurations to modularize and optimize end product configuration.
  • Installed workstation, bootstrapped nodes, wrote recipes, cookbooks, roles and environments and uploaded them to chef server.
  • Maintaining the required cookbooks and recipes by downloading the latest versions from SUPERMARKET.
  • Configured and administered Jenkins for continuous integration and deployment into Tomcat Application Server and to improve reusability for building pipelines

Environment: AWS EC2, Naigos, Chef, JSON, Python, Apache, Weblogic, Bash, Linux Administration, Jenkins.

We'd love your feedback!