Technical Support Engineer

Company:  Near BPO
Location: Remote
Closing Date: 29/06/2026
Hours: Full Time
Type: Permanent

Job Description

Technical Support Engineers troubleshoot all technical aspects to ensure optimal performance

Learn more about joining the Technical Support Engineer team at Near BPO.

What to Expect

As the Technical Support Engineer, you will utilize your passion for helping others to ensure that our Users and Enterprises are successful in their use of products and solutions. This is a continuous learning and teaching role where you will develop and share your knowledge of troubleshooting, configuration, and exciting new technologies inclusive of and complementary to Apache Cassandra.

What you will do:

  • Research, reproduce, troubleshoot, and solve highly challenging technical issues
  • Provide thoughtful direction and support for technical inquiries
  • Ensure that customer issues are resolved as expediently as possible
  • Diagnose and reproduce customer reported issues and log JIRA tickets
  • Participate in on-call rotation for after-hours, holiday, weekend support coverage
  • Create code samples, tutorials, and articles for the Knowledge base
  • Collaborate and contribute to Support Team infrastructure tools and processes

Experience Requirements

  • Supporting large enterprise customers in a customer-facing support role
  • Supporting Apache Cassandra environments or other relational and/or alternative
    database technologies
  • Strong understanding of Java, Python, Go and/or another programming language
  • Strong Linux and Networking skills navigation and tools
  • Excellent verbal and written communication skills
  • Advanced English
  • Lifetime learner, self-motivated with ability to multi-task during high pressure
    situations
  • Experience supporting Apache Pulsar, Apache Kafka, or similar technology
  • Experience supporting Kubernetes-based distributed applications
  • Familiarity with event driven architectures and patterns (event streaming, event sourcing, CQRS)
  • Familiarity with stream processing frameworks such as Kafka streams, Spark
    Streaming, Flink

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