Qureos

FIND_THE_RIGHTJOB.

Confluent Kafka Tech Lead

JOB_REQUIREMENTS

Hires in

Not specified

Employment Type

Not specified

Company Location

Not specified

Salary

Not specified

Job Title: Confluent Kafka Tech Lead
Location: Remote / Onsite (As per project requirement)
Experience: 7+ Years
Employment Type: Full-Time


Role Overview

We are seeking a highly skilled Confluent Kafka Tech Lead with deep expertise in designing, implementing, and managing real-time data streaming solutions. The ideal candidate will lead Kafka-based architecture design, ensure best practices, and guide the development and operations teams in implementing scalable, resilient event-driven systems.


Key Responsibilities

Kafka Architecture & Solution Design

  • Lead the design and architecture of end-to-end event streaming platforms using Confluent Kafka.

  • Define data streaming patterns, event models, schema registry usage, and partitioning strategies.

  • Drive adoption of Kafka-centric event-driven architectures across teams.

Development & Integration

  • Guide the development of Kafka producers and consumers using Java/Python.

  • Implement Confluent features including KSQL, Connect, REST Proxy, Schema Registry.

  • Oversee integration of Kafka with cloud platforms (Azure/AWS/GCP).

Performance, Scalability & Reliability

  • Ensure high availability, scalability, and resiliency of Kafka clusters.

  • Optimize throughput, partitions, replication, and retention settings.

  • Implement monitoring, alerting, and logging frameworks.

Leadership & Collaboration

  • Provide technical leadership to developers and DevOps teams.

  • Conduct design reviews, code reviews, and mentor junior engineers.

  • Work closely with Data Engineering, Platform, and Enterprise Architecture teams.

Security & Governance

  • Define Kafka security standards (ACLs, RBAC, encryption, certificates).

  • Ensure compliance with data governance and regulatory requirements.


Required Skills & Qualifications

  • 6–7 years of overall IT experience with 4+ years in Confluent Kafka.

  • Strong experience in Kafka architecture, cluster setup, design, and optimization.

  • Expertise in Kafka Connect, Schema Registry, KSQL, and Kafka Streams.

  • Strong programming experience in Java or Python.

  • Experience with cloud (AWS/Azure/GCP) and containerization (Kubernetes/Docker).

  • Understanding of event-driven architecture and distributed systems.

  • Excellent leadership, communication, and problem-solving capabilities.


Preferred Qualifications

  • Confluent Kafka Certification.

  • Experience in large-scale, high-throughput real-time systems.

  • CI/CD experience for streaming applications.

uixPWNcXrP

© 2025 Qureos. All rights reserved.