Senior DevOps Engineer Resume Â Raleigh, TX - Hire IT People

SUMMARY:

DevOps engineer experienced in automated deployment and proactive monitoring of applications and infrastructure in public and private clouds.
Experienced in both sides, development and operations. Understands the importance of rapid service delivery to clients with DevOps practices and development.
Has 15+ years of IT experience and holds Master’s in Computer Science.
An Confidential citizen requires no visa sponsorship.
Experienced DevOps engineer in p rivate/public cloud.
Experienced in Build, Continuous Integration, Continuous Deployment.
Experienced in Software Developments with Agile and Legacy Water Fall models.
Experienced in Production Management, Support and Monitoring.
Skilled in writing automation and proac tive monitoring scripts.
Possesses depth knowledge and experience in Linux and UNIX platforms.

TECHNICAL SKILLS:

Scripting: Bash, Python, Ruby, PHP and JavaScripts.

Orchestration: Docker, Ansible, Chef, CloudFormation, Elastic Beanstalk, OpsWorks.

Cloud Services: Private Cloud Services, Public Cloud Services AWS (EC2, IAM, S3, RDS and DynamoDB )

Software Development Language: Java, Python and C#.

Integration Tools: Jenkins, Maven and Ant

Source Control: Git and Subversion

Monitoring: Nagios, Geneos, Splunk, CloudWatch, CloudTrail

Big Data & NoSQL: Hadoop, P ig, Hive, AWS DynamoDB, Cassandra

Relational Database: Oracle, SQL Server, MySQL

Operating Systems: Linux, UNIX

PROFESSIONAL EXPERIENCE:

Confidential, Raleigh, TX

Senior DevOps Engineer

Responsibilities:

Designing and implementing Log Aggregation and a centralized monitoring solution using CloudWatch, CloudTrail, Elasticsearch, Logstash/Kinesis and Kibana/Grafana for AWS cloud.

Confidential, Houston, TX

DevOps/Cloud Engineer Lead

Responsibilities:

Expanded the capacity of existing on - premises infrastructure to c ustomized AWS Virtual Private Cloud (VPC) to form a Hybrid Cloud .
Utilized Ansible to manage OS infrastructure, TerraForms to configure/manage AWS services as Infrastructure as Code.
Conducted DevOps operations using AWS CLI, AWS SDK and utilized AWS CodeCommit as the private GitHub repository..
Implemented CI/CD using Jenkins and Docker containe rs
Used Bash and Python for developing monitoring framework.
Focused on monitoring and Log Management using Nagios, Geneos, CloudWatch, CloudTrail and Splunk.

Confidential, Houston, TX

Senior Software Engineer/Production Support Lead

Responsibilities:

Built, deployed and monitored Big Data Warehousing solutions using HDFS, MapReduce, and Java.
Utilized NoSQL database HBase and Cassandra a s persistent data store.
Utilized development/integration/deployment tools Pentaho Data Integration Spoon and Kettle Engine.
Developed monitoring solutions for 3-tier Java applications for WebLogic /Tomcat, Apache, Ora cle and LDAP servers.
Utilized Maven for Java build automation and Python for deployment automation.
Utilized bash scripts to wrap java and python modules to schedule jobs in CA Autosys.
Designed and deployed proactive monitoring s olutions using Python and Nagios.