Role Overview

A highly experienced Kafka Developer with a deep background in building stateful, high-throughput streaming platforms. You’re someone who excels at designing "source of truth" systems for critical financial transactions, understands the complexities of multi-tenant SaaS architectures, and brings a leadership mindset to help mentor and scale engineering teams.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in backend engineering, with at least 4+ years dedicated to Kafka Streams and/or the native Processor API in production.
• Proven expertise in stateful streaming applications, including hands-on experience with State Stores, RocksDB tuning, and interactive queries.
• Strong technical proficiency in Java, Spring Boot, Schema Registry, and Kafka Connect.
• Deep understanding of Exactly-Once Semantics (EOS) to ensure transactional consistency and data integrity.
• Solid background in financial logic, such as real-time ledgering, fraud detection, or payment orchestration.
• Experience with cloud-native scalability, optimizing Kafka clusters for high availability and low latency.
• It is a plus if you have architected multi-tenant SaaS products or contributed to the Apache Kafka open-source community.
• Knowledge of DevOps tools like Kubernetes (K8s) and Infrastructure as Code (Terraform) is highly preferred.
• Agile mindset: proactive, communicative, and capable of delivering value in incremental steps.
• Strong verbal and written English communication skills for mentoring and cross-team collaboration.

Responsibilities

• Architect and Build: Design and implement end-to-end stateful streaming applications using the Confluent ecosystem and Kafka Streams (DSL and Processor API).
• Manage State & Logic: Handle complex distributed states for financial operations, including real-time aggregations and windowed joins.
• Ensure Data Integrity: Maintain the highest standards of transactional consistency across all financial event streams.
• Optimize SaaS Scalability: Refine the multi-tenant event-driven architecture to support global scale and high-performance requirements.
• Provide Technical Leadership: Act as the subject matter expert, defining best practices for event modeling and guiding backend engineers.
• Bridge Engineering and Business: Ensure the finance engine accurately and promptly processes payments for artists and creators.

Must have:

• Advanced English proficiency
• Bachelor’s degree in Computer Science, Information Technology or related fields