Remote Kafka Streaming Data Engineer – Platform & SRE

Bright Vision Technologies

United States

Remote

USD 78,000 - 105,000

Full time

7 days ago
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Job summary

Bright Vision Technologies is seeking an experienced Streaming Data Engineer to architect, deploy, and operate large-scale Apache Kafka environments supporting mission-critical workloads. You will own the Kafka platform end-to-end, including cluster sizing, security, automation, observability, and developer enablement.

The ideal candidate combines deep Kafka internals knowledge with strong DevOps and SRE practices, partnering with application teams to deliver reliable, developer-friendly

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 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 Kafka Streams or ksqlDB.
  • Experience with HA/DR strategies for Kafka.
  • Strong scripting skills in Python, Bash, or Go.
  • IaC experience with Terraform, Ansible.
  • Observability tooling for Kafka.
  • Excellent troubleshooting, communication, and documentation skills.

Responsibilities

  • Architect, deploy, and operate large-scale Kafka/Confluent environments.
  • Own the Kafka platform end-to-end including sizing, security, and automation.
  • Collaborate with product and engineering teams to translate requirements into reliable streaming solutions.
  • Mentor junior engineers and champion best practices in design and code reviews.

Skills

Kafka operations
DevOps practices
SRE concepts

Education

Bachelor’s degree in Computer Science or related

Tools

Apache Kafka
Confluent Platform
Kafka Connect
Schema Registry
ksqlDB / Kafka Streams
Terraform
Ansible
Python
Bash
Go
Kubernetes

Job description

Bright Vision Technologies is seeking an experienced Streaming Data Engineer to architect, deploy, and operate large-scale Apache Kafka environments supporting mission-critical workloads. You will own the Kafka platform end-to-end, including cluster sizing, security, automation, observability, and developer enablement.

The ideal candidate combines deep Kafka internals knowledge with strong DevOps and SRE practices, partnering with application teams to deliver reliable, developer-friendly

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