We are seeking an Expert Kafka professional with overall experience of 12+ Years.

7+ years of deep expertise in designing and implementing enterprise-scale event streaming solutions using Confluent Kafka. The ideal candidate will possess extensive experience in large-scale Confluent Kafka infrastructure (5+ years) and designing complex Kafka integration solutions (5+ years) that power real-time data pipelines, event-driven architectures, and mission-critical business applications. This senior role requires a technical professional who can design highly available, scalable, and secure Kafka ecosystems, establish streaming best practices, and drive the adoption of event-driven patterns across the organization.

The Expert

Kafka professional will serve as the subject matter expert for all Kafka-related initiatives, mentoring engineering teams, optimizing platform performance, and ensuring the reliability of streaming data infrastructure that supports business-critical operations.

Roles & Responsibilities

ROLES AND RESPONSIBILITIES

Confluent Kafka Infrastructure Architecture (5+ Years) :

- Architect and design enterprise-scale Confluent Kafka infrastructure supporting high-throughput, low-latency event streaming requirements
- Design Kafka cluster topologies including multi-region, multi-datacenter, and hybrid cloud deployments • Plan and implement Kafka broker sizing, partition strategies, replication factors, and cluster scaling patterns
- Architect Confluent Platform components: Confluent Server, ZooKeeper/KRaft, Schema Registry, Kafka Connect, ksqlDB, Confluent Control Center
- Design high-availability and disaster recovery strategies for Kafka clusters including backup, replication, and failover mechanisms
- Implement Kafka security architectures including SSL/TLS encryption, SASL authentication, and ACL-based authorization
- Optimize Kafka infrastructure for performance, throughput, and cost-efficiency across cloud and on-premises environments
- Evaluate and select deployment options: Confluent Cloud, Confluent Platform on-premises, or self-managed Kafka on cloud infrastructure

Kafka Integration Solutions Design (5+ Years):

- Design end-to-end event streaming solutions using Kafka for real-time data integration and event-driven architectures
- Architect Kafka Connect solutions for integrating with databases, cloud storage, SaaS applications, and legacy systems
- Design stream processing applications using Kafka Streams, ksqlDB, or Apache Flink for real-time data transformation
- Implement event sourcing and CQRS (Command Query Responsibility Segregation) patterns using Kafka as the event store




- Design microservices integration patterns using Kafka for asynchronous communication and event-driven choreography
- Architect data pipeline solutions for ETL/ELT, data synchronization, and real-time analytics use cases
- Design schema management strategies using Confluent Schema Registry with Avro, Protobuf, and JSON Schema
- Implement exactly-once processing semantics and transactional messaging patterns for critical business applications

Performance Optimization & Tuning:

- Optimize Kafka cluster performance: throughput tuning, latency reduction, and resource utilization
- Tune Kafka producer and consumer configurations for optimal performance and reliability
- Design and implement partitioning strategies for balanced load distribution and parallel processing
- Monitor and optimize Kafka consumer lag, rebalance operations, and consumer group management
- Implement Kafka compaction strategies and log retention policies for storage optimization
- Tune JVM settings, garbage collection, and OS-level configurations for Kafka brokers
- Conduct performance benchmarking and capacity planning for future growth

Security & Governance:

- Architect comprehensive Kafka security models including authentication, authorization, and encryption • Implement SSL/TLS encryption for data in transit and encryption at rest for sensitive data
- Design SASL-based authentication mechanisms: SASL/PLAIN, SASL/SCRAM, SASL/GSSAPI (Kerberos), SASL/OAUTHBEARER
- Implement fine-grained ACLs and role-based access control for Kafka resources
- Design data governance frameworks for event streaming including data lineage, quality, and compliance
- Ensure compliance with regulatory requirements: GDPR, PCI-DSS, HIPAA, SOX for streaming data
- Implement audit logging and monitoring for security events and access patterns

Platform Operations & Reliability:

- Design monitoring and observability solutions for Kafka infrastructure using Confluent Control Center, Prometheus, Grafana
- Implement alerting mechanisms for cluster health, consumer lag, and critical metrics
- Create runbooks and operational procedures for Kafka cluster maintenance and incident response
- Design automated failover and self-healing mechanisms for Kafka infrastructure
- Plan and execute Kafka upgrades, migrations, and platform maintenance with minimal downtime




- Implement disaster recovery strategies including MirrorMaker 2.0 for cross-cluster replication
- Conduct chaos engineering and resilience testing for Kafka infrastructure

Integration Architecture:

- Design integration patterns between Kafka and enterprise systems: databases, data lakes, data warehouses
- Architect Kafka-to-Kafka replication strategies for multi-region and multi-cloud scenarios
- Design integration with cloud-native services: AWS Kinesis, Azure Event Hubs, Google Pub/Sub
- Implement CDC (Change Data Capture) patterns using Debezium or similar tools with Kafka
- Design API integration patterns using Kafka as the messaging backbone
- Architect hybrid cloud and multi-cloud Kafka deployments with data sovereignty considerations

Development & Best Practices:

- Establish Kafka development standards, coding guidelines, and best practices for engineering teams
- Design and review Kafka producer and consumer applications for performance and reliability
- Implement error handling, dead letter queues, and retry mechanisms for robust event processing
- Create reusable Kafka components, libraries, and templates for common patterns
- Establish testing strategies for Kafka applications including unit, integration, and chaos testing
- Mentor development teams on Kafka patterns, anti-patterns, and optimization techniques
- Conduct code reviews and architecture reviews for Kafka-based solutions

Stakeholder Collaboration:

- Collaborate with data engineers, software engineers, and architects to design streaming solutions
- Work with security and compliance teams to ensure Kafka implementations meet regulatory requirements
- Partner with infrastructure and DevOps teams for Kafka deployment automation and CI/CD integration • Engage with business stakeholders to understand streaming requirements and translate to technical solutions
- Present Kafka architecture designs, roadmaps, and recommendations to technical and executive audiences
- Contribute to internal communities of practice and knowledge sharing sessions

Innovation & Strategy:

- Research and evaluate emerging technologies in the event streaming and real-time analytics space
- Develop Kafka platform roadmaps and migration strategies for legacy integration systems
- Explore current Confluent Platform features and capabilities for potential adoption
- Drive adoption of event-driven architecture patterns and streaming best practices
- Identify opportunities for automation, optimization, and cost reduction in Kafka infrastructure
- Contribute to open-source Kafka community and stay current with Kafka ecosystem developments

📌 Kafka Architect (Hyderabad)
🏢 XFactor Talent
📍 Hyderabad