Senior Kafka Architect | Remote Data Streaming Platform

Bright Vision Technologies; Naperville (IL); Remote; USD 82,000 - 100,000; Full time

Job summary

Bright Vision Technologies is seeking a Senior Kafka Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments, supporting mission-critical workloads.

You will own the Kafka platform end-to-end, including cluster sizing, configuration, security, automation, observability, and developer enablement, partnering with cross-functional teams to deliver a reliable streaming platform.

Qualifications

• Bachelor's degree in Computer Science or Engineering or related technical discipline.
• 5+ 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 with Kafka Connect, Schema Registry, and either Kafka Streams or ksqlDB.
• Experience with HA/DR strategies for Kafka.
• Strong scripting skills (Python/Bash/Go).
• Infra-as-code experience (Terraform, Ansible).
• Observability tooling for Kafka.
• Excellent troubleshooting, communication, and documentation skills.

Responsibilities

• Architect, deploy, and operate large-scale Kafka environments.
• Own Kafka platform end-to-end including sizing, configuration, security, automation, and observability.
• Collaborate with product, design, engineering, operations, and stakeholders to deliver reliable streaming platform.
• Provide mentorship and code/design reviews to junior engineers.

Skills

Kafka administration

DevOps/SRE practices

Scripting

Education

Bachelor's degree in CS/Engineering

Tools

Terraform

Ansible

Kubernetes

Kafka Connect

Schema Registry

Job description

Bright Vision Technologies is seeking a Senior Kafka Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments, supporting mission-critical workloads.

You will own the Kafka platform end-to-end, including cluster sizing, configuration, security, automation, observability, and developer enablement, partnering with cross-functional teams to deliver a reliable streaming platform.