* This position is eligible to work in a hybrid work model (combination of in-office and remote days). **


We are currently looking for a Systems Engineer to join our Data Management team. The team’s responsibilities primarily center around system and application administrative duties for several Big Data platforms, including Splunk, Kafka, ELK, and Hadoop. The team maintains heightened scrutiny of these services through several means to provide troubleshooting and resolution with issues and outages in an operations environment. The team responds to and troubleshoots all NOC trouble tickets for all products that the team maintains.


  • Design and customize complex search queries, and promote advanced searching, forensics and analytics.
  • Analyzing asynchronous data and conducting data transfer using Kafka.
  • Developing software using Kanban and Agile methodologies.
  • Developing Database integration using JDBC, Object Relational Mapping (ORM) and Hibernate.
  • Integrating Kafka and Hadoop with a wide variety of legacy data sources that use various protocols
  • Architecting and deploying Hadoop implementations in medium to large sized customers.
  • Developing and enhancing continuous integration and development technologies using Jenkins, Git, Docker and Rancher.
  • Developing SOAP/REST web services.


  • Bachelor’s degree (BA/BS) from four-year college or university; or equivalent training, education, and experience.
  • Minimum of two (2) years of experience within Systems Engineering.
  • Minimum two (2) years’ experience code and script development.
  • Minimum two (2) years’ experience working with data analytics, or with data analytics platforms.


  • Experience working with Unix and Linux operating systems; specifically troubleshooting and providing administration.
  • 50% Development and Scripting.
  • The ability to design reports and dashboards using complex data elements.
  • A passion for Analytics, for helping users Client and share the stories and meaning in their data.
  • Experience in translating business requirements into concrete data analytic solutions.
  • PERL / Linux Shell Scripting / Regex experience would be highly preferable.
  • Cribl or Splunk training and/or certifications would be a major plus.


  • Telecommunication industry experience.
  • Experience with Network, Internet / Web technologies.
  • Working knowledge of scripting languages (e.g. Python, Pearl, bash, etc.).
  • Automation experience, preferably through Ansible.
  • Developing and enhancing continuous integration and development technologies using Jenkins, Git, Docker and Rancher.




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