Remote Kafka Platform Engineer & Architect

Bright Vision Technologies; Acton (MA); On-site; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking a highly capable Kafka Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments. You will own the platform end-to-end, including sizing, security, automation, and observability to support mission-critical workloads.

You will collaborate with product, design, engineering, and operations teams to translate requirements into scalable streaming solutions, mentor junior engineers, and ensure durable, well-documented

Qualifications

• Bachelors degree in Computer Science, Engineering, or related field.
• 5+ years of production Kafka/Confluent experience.
• Deep knowledge of Kafka internals (partitions, replication, ISRs).
• Kafka security experience (SASL, mTLS, ACLs, RBAC).
• Experience with Kafka Connect, Schema Registry, and Streams/ksqlDB.

Responsibilities

• Architect, deploy, and operate large-scale Kafka/Confluent clusters across on-prem and cloud environments.
• Design partitioning, replication, and topic strategies for throughput and durability.
• Implement strong security on Kafka clusters (SASL, mTLS, ACLs, RBAC).
• Operate Schema Registry, Kafka Connect, KSQL/ksqlDB, and Kafka Streams in production.
• Build CI/CD pipelines for Kafka configurations using GitOps patterns.
• Drive observability using Prometheus, Grafana, Datadog or Confluent tools.

Skills

Kafka internals

Python scripting

Observability tooling

Strong communication

DevOps practices

Education

Bachelor's degree in CS/Engineering

Tools

Terraform

Ansible

Job description

Bright Vision Technologies is seeking a highly capable Kafka Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments. You will own the platform end-to-end, including sizing, security, automation, and observability to support mission-critical workloads.

You will collaborate with product, design, engineering, and operations teams to translate requirements into scalable streaming solutions, mentor junior engineers, and ensure durable, well-documented