Panzura replaces legacy storage with a modern approach to unstructured data, empowering organizations with a high performance, high intelligence environment, globally.. Companies all around the world in the sports, healthcare, financial services, media and entertainment, gaming, and architectural, engineering and construction industries, as well as government agencies use Panzura to manage hundreds of petabytes of data in the cloud. Visit panzura.com for more and follow Panzura on LinkedInTwitter, and Facebook.


Responsibilities: 

  • Design and build data pipelines for both batch and steam data workflows  

  • Build infrastructure for machine learning 

  • Build infrastructure for indexing and searching 

  • Be part of Data Service team and manage the whole lifecycle of data

  • Implement services to support different data workflows


Required Qualifications

  • 5+ years of experience designing and implementing scalable data pipelines  

  • Experience with both batch and steam data processing solutions like Kafka, Spark Stream

  • Extensive experience working with Cloud technologies in AWS, GCP

  • Experience with Micro Service architecture and SaaS solution

  • Proficiency in of one or more of follow computer languages: Scala, Go, Python, Java or C

  • BA in Computer Science, Engineering or relevant field 


Preferred Qualifications:

  • Data Storage background and understanding file system


Panzura is an Equal Employment Opportunity employer. It is our policy to provide equal opportunity to all employees and applicants and to prohibit any discrimination because of race, color, religion, sex, national origin, age, marital status, sexual orientation, genetic information, disability, protected veteran status, or any other consideration made unlawful by applicable federal, state or local laws. Employees will be treated on the basis of their job-related qualifications, ability, and performance. It is also our policy that sexual harassment or any other kind of harassment including harassment based on sexual orientation will not be tolerated. The foundation of these policies is our commitment to treat everyone fairly and equally and to have a bias-free work environment.