Key Responsibilities

- Design, deploy, and operate Apache Kafka / Confluent Platform / Confluent Cloud in large-scale, distributed environments.

- Define and implement Kafka broker architecture, Schema Registry, Kafka Connect, and consumer group strategies.

- Establish eventing standards, schema governance, topic naming conventions, retention policies, and platform guardrails.

- Drive enterprise event-driven architecture (EDA) adoption beyond Kafka infrastructure (event design, patterns, and contracts).

Event-Driven Design & Stream Processing

- Lead event-driven use case design and implementation, collaborating with domain and application teams.

- Design and build stream processing applications using Flink, Kafka Streams (KStreams) or equivalent frameworks (Spark Streaming, Google Dataflow, etc.).





- Support real-time data processing, enrichment, aggregation, and stateful streaming use cases.

Cloud & Kubernetes Platform Enablement

- Deploy and manage Kafka and streaming workloads on Kubernetes (GKE preferred; AKS/EKS acceptable).

- Use Helm, Kustomize, and Kubernetes Operators for repeatable and scalable deployments.

- Integrate Kafka platforms with cloud-native services such as compute, storage, and messaging systems.

Location

Melbourne

Job Function

TECHNOLOGY

Role

Consultant

Job Id

425633

Desired Skills

AWS | Docker | Kafka

📌 Kafka Technical Consultant (Melbourne)
🏢 Tata Consultancy Services
📍 Melbourne