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Salary
≈ $17k – $40k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 22, 2026.

Overview
Company
Impact
Profile match
Tata Consultancy Services (TCS) is a global leader in IT services, consulting, and digital business solutions operating as the flagship tech subsidiary of the Tata Group. Headquartered in Mumbai, India, the company delivers end-to-end capabilities spanning cloud computing, enterprise platforms, cybersecurity, and artificial intelligence to major global enterprises. Employing over 500,000 professionals across dozens of countries, it stands as one of the world's largest IT outsourcing and technology transformation partners.

Role: Developer. Skills: Kafka. Experience: 5 - 10 Years. Qualification: Bachelor Of Arts

1. TIBCO EMS to Kafka Migration

  • Assess

    the existing TIBCO EMS infrastructure (topics, queues, message flows,

    and integrations) and design a migration strategy to Kafka.

  • Map

    TIBCO EMS constructs (e.g., topics, bridges, routing) to Kafka

    equivalents (e.g., Kafka topics, partitions, consumers, Kafka Connect).

  • Implement

    proof-of-concepts (PoCs) to validate performance, latency, and

    compatibility.

  • Develop

    custom connectors/adapters (if needed) to ensure backward compatibility

    with legacy systems.

2. Kafka Architecture & Development

  • Design,

    configure, and optimize Kafka clusters (on-premises/cloud) for high

    throughput, fault tolerance, and scalability.

  • Develop

    producers/consumers in Java/Spring Boot (or Python/Scala) with efficient

    serialization (Avro/Protobuf/JSON).

  • Implement

    Kafka Streams or ksqlDB for real-time stream processing (e.g.,

    aggregations, joins, filtering).

  • Set

    up schema management (Confluent Schema Registry or Apicurio) and enforce

    governance policies.

3. Performance & Reliability

  • Monitor

    and tune Kafka performance (e.g., broker configuration, partition

    sizing, replication factors).

  • Implement

    exactly-once semantics, idempotent producers, and transa ctional

    messaging where required.

  • Design

    disaster recovery (DR) and backup strategies for Kafka clusters.

  • Conduct

    load testing and benchmarking to ensure SLAs are met.

4. Integration & DevOps

  • Collaborate

    with DevOps/SRE teams to deploy Kafka in containerized environments

    (Kubernetes/Docker) using IaC (Terraform/Ansible).

  • Integrate

    Kafka with CI/CD pipelines (Jenkins, GitLab CI, ArgoCD) for automated

    testing and deployment.

  • Ensure

    security best practices: TLS encryption, SASL/SCRAM authentication, RBAC

    (via Kafka ACLs or Confluent RBAC).

5. Documentation & Knowledge Sharing

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