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Kafka Tier 3 Support Engineer (Platform & Operations)

Tata Consultancy Services

2 - 5 years

Bengaluru

Posted: 20/04/2026

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Job Description

Tier 3 Incident Management & Escalation Support

Act as the highest technical escalation point for Kafka production incidents (Sev1 / Sev2).

Lead deep troubleshooting across:

Broker instability, controller elections, ISR shrinkage

Underreplicated partitions and leader imbalance

Producer/consumer failures, lag spikes, and rebalance storms

Disk, network, JVM, and request handler saturation

Provide handson remediation for complex issues, including:

Partition reassignment and leader rebalance

Broker configuration tuning

Throttle/quota strategies for noisy producers or consumers

Coordinate with vendor support during service incidents, providing logs, metrics, and forensic details.

Guide Tier2 teams during major incidents and validate restoration actions.


2. Kafka Performance Engineering & Optimization

Analyze Kafka workloads for performance and scalability risks:

Partition skew and hot partitions

Inefficient producer batching/compression

Consumer lag root cause analysis

Thread pool, I/O, and network bottlenecks

Recommend and validate:

Topic design (partition count, replication factor, retention, compaction)

Producer and consumer configuration best practices

Quotas, quotas enforcement, and multitenant controls

Support onboarding of highthroughput or latencysensitive workloads, ensuring Kafka is correctly sized and tuned.


3. Platform Stability, Reliability & Resilience

Diagnose and resolve systemic Kafka stability issues:

Repeated broker failures or flapping

Metadata/controller instability (Zookeeper or KRaft)

Recovery issues following failovers or maintenance events

Support resilience initiatives:

MultiAZ cluster health validation

Replication and DR strategies (MirrorMaker 2, Replicator, or applevel DR patterns)

Failover testing and validation

Define and improve Kafka SLOs for availability, durability, and latency.


4. Change, Upgrade & Configuration Leadership

Lead medium to highrisk Kafka changes, including:

Broker and cluster configuration changes

Partition expansion or largescale reassignment

Topic policy changes impacting durability or performance

Support and plan:

Kafka version upgrades

MSK / Confluent upgrade cycles

Client compatibility and rollout strategies

Participate in CAB reviews, assess risk, and design rollback and validation plans.

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