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Aws Devops Engineer Resume

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SUMMARY

  • Over 8+ years of IT experience in design, implementation, troubleshooting and maintenance of complex Enterprise Infrastructure.
  • Over 5 years of experience in planning, designing, implementing, and maintaining applications in Cloud.
  • Over 4+ years of experience in installing, configuring, and managing Cloudera Hadoop Cluster.
  • Skilled at Software Development Life Cycles and Agile Programming Methodologies.

TECHNICAL SKILLS

Operating Systems: RHEL, Centos, Ubuntu, and Windows.

Scripting: Python, Shell, and YAML.

Tools: /Software: Ansible, Terraform, Docker, Kubernetes, Jenkins, Nexus Repository, Splunk, Vagrant, GitHub.

Networks/Protocols: LAN/WAN, TCP/IP, DHCP, NAS/SAN, LDAP, VPN, DNS, and VLAN.

Cloud Platform: AWS and Azure.

Web Applications: Tomcat and Nginx.

Hadoop Eco - System: HDFS, YARN, Hive, Impala, Oozie, Sentry, HBase and Zookeeper.

PROFESSIONAL EXPERIENCE

Confidential

AWS DevOps Engineer

Responsibilities:

  • Responsible for implementing and administrating of various applications hosted on AWS.
  • Aligning with the engineering teams to propose and design Infrastructure for new applications.
  • Actively building, managing, improving, validating, and monitoring Cloud infrastructure on AWS - EC2, S3, VPC, Auto Scaling, IAM roles/Policies and RDS using Terraform.
  • Create and maintain fully automated CI/CD pipelines for code deployment using GitHub, Jenkins, Nexus and Docker.
  • Created CloudWatch alerts for instances and using them in Auto Scaling Launch Configuration.
  • Built Kubernetes cluster in EC2 Instances to break up monolithic app into microservices for scalability, fault tolerance and fast deployment.
  • Experience with servers and containers monitoring system like Dynatrace.
  • Configured ELBs for load balancing application traffic across multiple targets.
  • Performed multi-node software deployment, ad hoc task execution and configuration management using Ansible playbook.
  • Experience in writing bash and python scripts to automate day to day tasks.
  • Familiarity with performance tuning at the OS (JVM, IOs, CPU, GC), network and applications levels.
  • Monitoring, analyzing, and reporting performance statistics for Cloud hosted environments.
  • Developed AWS Lambda functions for snapshots of EBS volumes.
  • Improving the security gaps by enabling AWS features like Inspector and GuardDuty.

Confidential

AWS Engineer

Responsibilities:

  • Involved in designing and deploying applications using the AWS service and focusing on high-availability, fault tolerance and auto-scaling.
  • Migrated the current Linux environment to AWS/RHEL and Ubuntu Linux environment and used auto scaling feature.
  • Installing, configuring, and deploying web application on Tomcat Servers.
  • Created users and groups using IAM and assigned individual policies and roles to each group.
  • Good understanding of ELB, Security Groups, Route Tables, Network ACL, NAT and VPN/VPC.
  • Experience with monitoring tools like Cloud Watch and Cloud Trail.
  • Used AWS snapshots for data volumes backup and AMI's to launch new instances.
  • Involved in day-to-day System Administration tasks.

Confidential, Rochester, NY

System Administrator

Responsibilities:

  • Experience working in Linux based environment such as Red Hat, Centos and Ubuntu.
  • Product development and administration of managed services, dedicated Linux servers, and webhosting platforms.
  • Worked on BIND DNS, DHCP, FTP, LDAP, NFS and Access control in Linux server-client environment.
  • Performed software installation, upgrades/patches, performance tuning and troubleshooting of all the Linux servers in the environment.
  • Performed vulnerability testing of all the Linux servers and providing right solutions.
  • Performed physical to virtual (P2V) migrations for approximately 50 physical servers utilizing VMware Converter; it solved space and power capacity constraint at Data Centre.
  • Experience in creating Virtual Switches, Ports and Port groups and setting up Layer 2 Security Policies for Virtual Networks.

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