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Product Engineer - Kafka Streaming System

icon building Company : Weekday Ai
icon briefcase Job Type : Full Time

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Job Description - Product Engineer - Kafka Streaming System

This role is for one of the Weekday's clients

📍 Chennai (On-site) | 🕒 Full-time | 💼 3–6 years

We are building a data-intensive enterprise platform where near real-time ingestion (1-minute latency) is a core product requirement. As a Product Engineer focused on Kafka and streaming systems, you will own and scale the ingestion layer that powers critical production workflows.

This role demands strong hands-on expertise in Kafka, deep ownership of streaming pipelines, and the ability to build highly reliable, low-latency systems.

Key Responsibilities

  • Design, build, and own Kafka-based streaming and ingestion pipelines
  • Architect Kafka topics, partitions, schemas, and consumer groups for scale and reliability
  • Ensure consistent sub-minute ingestion SLAs across production systems
  • Handle message ordering, retries, back-pressure, and fault tolerance
  • Monitor and optimize lag, throughput, and overall pipeline stability
  • Troubleshoot and resolve production issues in high-throughput environments

Required Skills & Experience

  • Strong, hands-on experience with Apache Kafka in production environments
  • Proven ownership of end-to-end streaming or ingestion systems
  • Deep understanding of Kafka internals, including brokers, partitions, replication, and consumers
  • Experience building high-throughput, low-latency distributed systems
  • High ownership mindset with strong execution and problem-solving skills

Good to Have

  • Backend development experience in Golang or Java
  • Experience with schema management, monitoring, and performance tuning
  • Exposure to data-heavy or enterprise-scale platforms

Why This Role

  • Ownership of a mission-critical ingestion layer
  • Direct impact on core product performance and differentiation
  • Opportunity to work in a small, high-ownership engineering team

Skills

Apache Kafka · Streaming Systems · Distributed Systems · Data Ingestion · Golang · Java · High-Throughput Systems

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