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Kafka Integration Engineer (80 hours)

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Description

We are seeking a Kafka Integration Engineer (80 hours work per month) to lead and execute data integration initiatives between our customers’ Kafka streams and internal APIs. This is a hands-on engineering role that requires a strong understanding of real-time data processing, microservices, and cloud-native technologies. You will collaborate closely with customer engineering teams and internal DevOps to build scalable, efficient, and secure data pipelines.

Key Responsibilities:

  • Design, build, and maintain Kafka consumers to ingest and batch-process customer event data.
  • Implement message parsing and transformation logic (JSON, Avro, Protobuf) to align with Captain Up’s event structure.
  • Develop and configure provider-specific customer integrations.
  • Manage secure credentials using AWS Secrets Manager and handle per-application configurations.
  • Deploy and monitor services in Kubernetes using Helm.
  • Work with DevOps to troubleshoot deployments, monitor performance, and ensure system reliability.


Requirements

  • Proficient in Node.js and TypeScript.
  • Strong experience with Apache Kafka and libraries like KafkaJS or similar.
  • Hands-on experience designing and consuming REST/HTTP APIs for service-to-service integration.
  • Solid working knowledge of databases (SQL and/or NoSQL) — schema design, queries, and indexing for high-throughput pipelines.
  • Familiarity with message schemas (Avro, Protobuf) and relevant parsing libraries.
  • Hands-on experience with Kubernetes, Helm, and AWS services, especially Secrets Manager.
  • Hands-on experience using AI coding assistants (Claude / Claude Code, Cursor, Copilot, etc.) to accelerate development, debug, and write production-grade code.
  • CRITICAL — Customer-facing role: This engineer will work directly with our customers' engineering teams to design, build, troubleshoot, and own integrations end-to-end. Must be confident, professional, and proactive in customer communication (calls, Slack, email, screen-shares).
  • Excellent spoken and written English (C1+ / fluent). Daily synchronous communication with international customers is required.
  • Ability to write robust, testable, and maintainable code for high-throughput and low-latency data pipelines.
  • Excellent debugging, problem-solving, and communication skills.

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