Senior Remote Apache Kafka Platform Engineer

Bright Vision Technologies

Plymouth (MN)

Remote

USD 100,000 - 150,000

Full time

3 days ago
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Job summary

Bright Vision Technologies is seeking an experienced Apache Kafka Developer to architect, deploy, and operate large-scale Kafka and Confluent environments in a 100% remote US-based role. You will own the platform end-to-end, including sizing, configuration, security, automation, observability, and developer enablement, partnering with product and engineering teams to deliver reliable streaming workloads.

The ideal candidate brings 6+ years in Kafka production, strong DevOps/SRE practices, and

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or 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 internals
DevOps & SRE
Python/Bash/Go
Terraform/Ansible
Observability tooling
Troubleshooting & communication

Education

Bachelor's degree in CS/Engineering

Tools

Kafka Connect
Schema Registry
Kafka Streams
ksqlDB

Job description

Bright Vision Technologies is seeking an experienced Apache Kafka Developer to architect, deploy, and operate large-scale Kafka and Confluent environments in a 100% remote US-based role. You will own the platform end-to-end, including sizing, configuration, security, automation, observability, and developer enablement, partnering with product and engineering teams to deliver reliable streaming workloads.

The ideal candidate brings 6+ years in Kafka production, strong DevOps/SRE practices, and

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