Hire a Kafka Developer

Get a pre-vetted Kafka expert for event streaming architectures and real-time data pipelines — AI-managed delivery.

Role: Kafka Developer (Data Engineering)

Kafka developers build event streaming architectures and real-time data pipelines using Apache Kafka. Our vetted talent handles Kafka Connect, Kafka Streams, schema registry, and building event-driven microservices at scale.

Skills We Vet

  • Kafka Producers & Consumers: Expert
  • Kafka Streams & KSQL: Advanced
  • Kafka Connect & Connectors: Advanced
  • Schema Registry & Avro: Advanced

Typical Projects

  • Event Streaming Platform: Build event-driven architecture with Kafka topics, schema registry, and consumer groups. (80-180 hrs)
  • Real-Time Data Pipeline: Stream data from multiple sources through Kafka to data warehouse with exactly-once delivery. (60-140 hrs)
  • CDC Pipeline: Change data capture pipeline with Debezium and Kafka for real-time database replication. (40-100 hrs)

Hourly Rates

  • AI PM: $2/hr — AI agent manages the project end-to-end with automated code reviews, testing, and deployment.
  • Live PM: $3/hr — A human project manager coordinates your project with AI-augmented development workflows.
  • Live PM + Dev: $5/hr — Dedicated human PM plus senior developer oversight for mission-critical projects.

Hiring Process

  1. Submit Your Requirements: Describe your project scope, technical needs, and timeline. Our AI analyzes your requirements and identifies the ideal skill profile.
  2. AI-Matched Talent Selection: Our platform matches you with pre-vetted developers whose expertise aligns with your tech stack, industry, and project complexity.
  3. Technical Vetting & Trial: Review candidate profiles, past work, and skill assessments. Start with a small paid trial task to validate the fit before committing.
  4. Kick-off & Ongoing Delivery: Once confirmed, your developer is onboarded immediately. Track progress via real-time dashboards, milestone reviews, and daily stand-ups.

Frequently Asked Questions

When should I use Kafka?
Kafka excels at high-throughput event streaming, real-time analytics, log aggregation, and event-driven microservices communication.
Kafka vs RabbitMQ?
Kafka is better for high-throughput event streaming and log processing. RabbitMQ is simpler for traditional message queuing with routing.
Can they manage Kafka in production?
Yes. Our developers handle cluster management, partition tuning, consumer lag monitoring, and scaling strategies for production Kafka.