SparkBeyond SparkBeyond

Careers

Deployment Engineer - NYC

New York City · Full-time

About The Position

Our Team's mission statement:

Our team is responsible for the deployment, operations and integration of Sparkbeyond unique state-of-the-art AI powered engine in customer environment, rapidly, reliably and according to the highest standards.

What will you do?

  • Deploy, configure, manage and monitor SparkBeyond systems using cutting edge technologies.
  • Provide application and operating system support services to customers.
  • Analyze and troubleshoot complex issues in a dynamic production environment (Linux environment).
  • Direct communication with users about their Sparkbeyond deployment, data engineering needs and requirements.
  • Support data management activities such as load and transfer of Big data between variety of infrastructure.
  • Work with a variety of technologies, methods, platforms and practices both on cloud and on-premises (e.g. ELK, Prometheus, InfluxDB, Grafana, Python).

Requirements

What will you need?

  • 5+ years experience with system administration of Linux operating systems (Ubuntu / Centos / RHEL).
  • Bachelor’s Degree in Computer Science, Information Technology or related technical discipline (Master’s degree is a plus).
  • Significant scripting abilities with the following script languages: Bash, Python, SQL – must.
  • Other languages – a plus.
  • 3+ years in customers facing roles (IT and business).
  • Experience with Azure, AWS/EC2 ,Google cloud or other cloud based services.
  • Experience with SQL experience (e.g. Postgresql, Mongo and other DB).
  • Respond to and resolve support requests.
  • Hands on experience with configuration of production environments.
  • Hands on experience in monitoring/reporting frameworks- Prometheus / ELK /other.
  • Experience with Configuration management frameworks (Ansible advantage).

Advantages:

  • Experience of managing stakeholders and working in a fast-paced environment with multiple projects.
  • Working on Machine learning / analytics platforms
  • Experience with containers (Dockers)

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