Kafka Platform Engineer

Job summary

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.

Benefits

Qualifications

• We are seeking an experienced Kafka Platform Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments supporting mission-critical event-driven workloads.
• into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers.
• The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.
• 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
• Confluent Certified Administrator or Developer credentials.
• Experience operating Kafka on Kubernetes (Strimzi, Confluent Operator).

Responsibilities

• In this role you will own the Kafka platform end-to-end, including cluster sizing, configuration, security, automation, observability, and developer enablement.
• In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous
• Architect, deploy, and operate large-scale Apache Kafka or Confluent Platform clusters across on-prem and cloud environments.
• Design partitioning, replication, and topic strategies that balance throughput, durability, and operational simplicity.
• Implement strong security on Kafka clusters using SASL, mTLS, ACLs, RBAC, and integration with corporate IdPs.
• Operate Schema Registry, Kafka Connect, KSQL/ksqlDB, and Kafka Streams in production.
• Build and operate Kafka Connect pipelines integrating sources and sinks across enterprise systems.
• Design HA/DR strategies for Kafka, including MirrorMaker 2, Cluster Linking, and multi-region active-active patterns.
• Build CI/CD pipelines for Kafka topic, ACL, and connector configurations using GitOps patterns.
• Implement comprehensive observability using Prometheus, Grafana, Datadog, or Confluent Control Center.
• Drive Kafka cost and capacity optimization through right-sizing and storage tiering.
• Onboard application teams to Kafka with clear patterns, templates, and best practices.

Skills

Certifications

Degrees

Industry

Company size