Technical Architect

Kafka Architect – 10+ Years Experience

Location :

Hybrid (Chennai / Bangalore / Pune / Coimbatore)

Working Hours : 2 PM to 11 PM IST

We’re seeking a visionary

Kafka Architect

with deep expertise in

Spring Boot

and distributed systems to lead the design and implementation of high-throughput, real-time data streaming platforms. This role is ideal for someone who thrives in architecting scalable, fault-tolerant systems and enjoys mentoring teams in cutting-edge event-driven technologies.

Key Responsibilities :

Design and implement robust Kafka-based event-driven architectures for mission-critical, real-time applications.

Build and maintain Spring Boot microservices that seamlessly integrate with Kafka for efficient event production and consumption.

Define and optimize Kafka cluster configurations including brokers, partitions, replication strategies, schema registry, access control, and monitoring.

Partner with DevOps teams to automate deployment pipelines, scaling strategies, and observability for Kafka clusters.

Ensure high availability, fault tolerance, and compliance with data governance standards across distributed systems.

Tune Kafka for maximum throughput, minimal latency, and efficient storage utilization.

Drive adoption and integration of stream processing frameworks such as Kafka Streams, kSQL, Apache Flink, or Spark Streaming.

Work closely with solution architects, engineering teams, and business stakeholders to design event-driven workflows and data pipelines.

Establish reusable design patterns, coding standards, and architectural guidelines for Kafka + Spring Boot integrations.

Lead root cause analysis and performance tuning for production issues in Kafka-based systems.

Ideal Candidate Profile :

10+ years of experience in software architecture and distributed systems

Proven expertise in Kafka ecosystem and Spring Boot microservices

Strong understanding of event-driven design principles and stream processing

Experience with containerization (Docker / Kubernetes) and CI / CD pipelines

Familiarity with monitoring tools (Prometheus, Grafana, ELK stack)

Excellent communication and leadership skills