Remote Senior Real-Time Kafka Data Engineer

Bright Vision Technologies

United States

Remote

USD 135,000 - 160,000

Full time

10 days ago
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Job summary

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. We seek a Real-Time Data Engineer to architect, deploy, and operate large-scale Apache Kafka environments for mission-critical workloads.

The ideal candidate will own the Kafka platform end-to-end, including sizing, configuration, security, automation, observability, and developer enablement, collaborating with product, design, and

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • Five or more years of experience operating Apache Kafka or Confluent Platform in production.
  • Deep, hands-on knowledge of Kafka internals (partitions, replication, ISRs, consumer groups).
  • Strong experience with Kafka security (SASL, mTLS, ACLs, RBAC).
  • Hands-on experience with Kafka Connect, Schema Registry, and either Kafka Streams or ksqlDB.
  • Experience with HA/DR strategies for Kafka.
  • Strong scripting skills in Python, Bash, or Go.
  • Hands-on experience with infrastructure-as-code (Terraform, Ansible).
  • Working knowledge of observability tooling for Kafka.
  • Excellent troubleshooting, communication, and documentation skills.

Skills

Kafka expertise
Kafka internals
Kafka security
Scripting
IaC
Observability
Troubleshooting
Documentation
DevOps/SRE

Education

Bachelor’s degree in Computer Science/Engineering

Tools

Kafka Connect
Schema Registry
Kafka Streams/ksqlDB
Terraform/Ansible
Strimzi/Confluent Operator
Kubernetes

Job description

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. We seek a Real-Time Data Engineer to architect, deploy, and operate large-scale Apache Kafka environments for mission-critical workloads.

The ideal candidate will own the Kafka platform end-to-end, including sizing, configuration, security, automation, observability, and developer enablement, collaborating with product, design, and

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