Job Description
Key Responsibilities
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nAssess on-prem Kafka clusters and perform discovery across topics, partitions, consumer groups, throughput patterns, retention policies, and inter-service dependencies to determine migration readiness.
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nAnalyze workloads based on message volume, business criticality, ordering guarantees, latency requirements, and consumer group complexity to determine appropriate MSK cluster placement and configuration.
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nPlan and provision required AWS MSK infrastructure capacity including broker sizing, storage, networking, and security configurations to support migration, testing, and production execution.
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nExecute UAT and production parallel testing using MirrorMaker 2 or similar replication tooling, compare message delivery outcomes, capture evidence, and troubleshoot discrepancies through closure.
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nPerform performance tuning and optimization of MSK clusters to ensure migrated workloads are reliable, scalable, efficient, and production ready.
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nPartner with application engineering, infrastructure,



and platform teams to finalize migration plans, consumer/producer cutover approach, validation criteria, and rollback considerations.
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nManage release readiness, execute production cutover activities including consumer group migration, offset synchronization, and complete post-release checkout and validation procedures.
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nSupport legacy on-premises Kafka cluster decommissioning after successful migration and validation.
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nDesign, enhance, and implement automation frameworks and AI-assisted solutions to enable repeatable, efficient, large-scale Kafka-to-MSK migrations.
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nDocument migration procedures, operational learnings, risks, and best practices to improve the factory execution model.
nRequired Qualifications
nBasic Qualifications
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nEducation: Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, or a related quantitative discipline.
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nExperience: 3–5 years of ha

📌 Kafka to AWS MSK Migration Engineer (Bengaluru)
🏢 Lorven Technologies
📍 Bengaluru