Note: We are looking only for candidates willing to join us directly as W2 employees (No 3rd party candidates) Position: Installer Developer/DevOps Engineer (X360) Location: Ashburn, VA Duration: 6 Months CTH Note: WFH until Covid situation exists Job Description: We have an excellent opportunity available for a DevOps engineer. We are looking for candidates with a strong programming background and experience (Java preferred) supporting CI/CD pipelines. The DevOps engineer s primary responsibilities will be the maintenance of application installers using install4j. Other responsibilities include administration and management of existing infrastructures and CI/CD pipelines, design and implementation of cloud-based automated deployment scripts. This position offers an excellent opportunity to grow with a dynamic team of developers. Responsibilities: Maintain installers using install4j, while adhering to application installation and configuration requirements Proactively work with application developers to determine application installation and deployment requirements, and ensure they are satisfied in a variety of environments and deployment types, including hosted and non-hosted deployments, cloud and on-premise environments Maintain and enhance existing CI/CD pipelines to improve development team productivity Administer and maintain existing internal software development infrastructure Administer and manage existing infrastructures such as Maven repository, SVN and Git repositories Administer and manage development VMs hosting CI/CD infrastructure Design and implemen tation of cloud-based deployment solutions for enterprise applications Be able to quickly ramp up on and assess technologies used in the application or to simplify deployment automation and monitoring Review deployment architectures and provide feedback on best practices and improvements on efficiency and cost Requirements: A degree in Computer Science or other related degree (additional 6 years of experience in lieu of degree) 6+ years of professional, technical experience 3+ years of DevOps experience (pipeline, installation, deployment) Experience building Java applications Proficient with continuous integration tools, eg TeamCity, Jenkins, Nexus Very comfortable with software installation and configuration on Linux, Windows Server OSes Proficient in Shell, Bash and various scripting libraries Working knowledge of Maven, ANT Strong development background (Java and other scripts/languages), understands design and coding best practices, source code maintenance, versioning and tagging, and be able to assist in understanding needs of the application Experience building enterprise deployments on AWS or Azure a plus Experience with automated creation of Cloud resources using tools such as CloudFormation, SDKs, CLI a plus. Job Requirements: Troubleshoot and debug any hadoop ecosystem Assess the quality of datasets for a hadoop data lake Troubleshoot and debug any hadoop ecosystem run time issues Develop efficient pig and hive scripts with joins on datasets using various techniques Execute in the design/development of data ingestion and data transformation for big data applications Tuning Hadoop jobs (hive, pig) Move data from one cluster Troubleshoot issues with hive, Hbase Execute in the design/development of data ingestion and data transformation for big data applications Enabling the next generation customer analytical platform using big data technologies Lead the design and implementation of sustainable tools & processes to support the big data ecosystem Support the big data ecosystem Make sure that all the big data applications are Troubleshoot technical and performance issues in the big data ecosystem Expect that from a big payments company Creating big data and analytics solutions for Digital channel Perform data profiling on big data distributed computing environments, relational databases and XML Help architect and build a big data platform used for analytics Assist in data analysis and data modeling Leading the implementation and support of leading-edge, data warehouse / big data environments