Technical Architect
3 weeks ago
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
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