Sr. Confluent Kafka Platform - Addison, United States - RedRiver Systems, LLC

RedRiver Systems, LLC Addison, United States

3 weeks ago

Description

This is a Full-time / Direct Hire Opportunity

Hybrid - 3-days In office / 2-days WFH

Client will Transfer Visa's

Client will not pay for relocation

Join a growing AWARD WINNING organization named on Forbes America's Best Small Companies and recognized as one of Deloitte's "The Exceptional 100 List of Top Performing U.S. Companies." The organization continues to experience dynamic worldwide growth with a state of the art, industry leading business model / platform and a slate of benefits ensuring your physical and financial health

This Dallas based technology company is looking for a talented Sr. Confluent Kafka Platform / DevOps Engineer to join their DevOps team supporting their data, search and messaging platforms, as well as partner with the product team to ensure data integrity across the enterprise.

RESPONSIBILITIES:

Build, deploy, manage, and monitor scalable, fault-tolerant, secure, and high-performance data platforms and data movement solutions.
Partner with agile data development teams and using DevOps methodologies to create efficient, automated, CI/CD processes to promote, test and deploy code.
Partner with InfoSec team to ensure data is secure at-rest and in-flight.
Develop, test, deploy and maintain efficient reusable patterns of streaming and batch data ingestion pipeline architectures.
Maintain key architecture and coding standards for all platforms.
Ensure data platforms operate efficiently and maximum uptime.
Take advantage of the latest features and support for data pipelines.

BACKGROUND:

Sr. level experience with deploying, configuring, scaling, and troubleshooting data and search infrastructure.
Sr. level experience with (Hive, Hadoop, Spark, Storm and / or Zookeeper)
Strong experience managing Confluent Kafka Platform and Confluent Cloud
Expert level experience with alerting, monitoring, and auto-remediation in a large-scale distributed environment
Strong experience with Solr or Elastic Search or Lucene API
Strong experience supporting stream processing solutions in Big Data and Kafka, Kinesis
Strong knowledge of messaging/events architecture Concepts and PUB/SUB Pattern
Experience in building and deploying Microservices on containers such as Pivotal Foundry Cloud, Docker, or Kubernetes etc.
Solid experience designing and supporting Enterprise Redis, MongoDB or Cassandra Platforms
Experience with Source control/Bug Tracking/Automated Build tools Jira, Jenkins, and Git
Experience with http web servers and load balancers
Experience with Reporting and ETL platforms

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