Senior Kafka Platform Engineer — Remote

Bright Vision Technologies

United States

Remote

USD 110,000 - 150,000

Full time

14 days+
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Job summary

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

The role requires deep knowledge of Kafka internals, strong DevOps practices, and the ability to collaborate with product, design, engineering,

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • 5+ years of production experience with Apache Kafka or Confluent Platform.
  • 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.
  • Experience with infrastructure-as-code (Terraform, Ansible).
  • Working knowledge of observability tooling for Kafka.
  • Excellent troubleshooting, communication, and documentation skills.

Responsibilities

  • 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.
  • Lead incident response and post-incident reviews for streaming workloads, applying disciplined engineering practices and partnering closely with stakeholders to ensure outcomes are durable, well-documented, and aligned with broader team and platform standards.
  • Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing, helping the broader team grow in technical maturity and confidence over time.
  • Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time.
  • Continuously evaluate emerging streaming technologies (Pulsar, Redpanda, AWS MSK, Azure Event Hubs).

Skills

Kafka internals
Scripting (Python/Bash/Go)
Terraform/Ansible
Observability tooling
Troubleshooting & communication

Education

Bachelor's degree in Computer Science/Engineering

Tools

Kafka Connect
Schema Registry
Kafka Streams/ksqlDB
Confluent Platform
Kubernetes (Strimzi/Confluent Operator)

Job description

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

The role requires deep knowledge of Kafka internals, strong DevOps practices, and the ability to collaborate with product, design, engineering,

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