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Staff Software Engineer (Kafka Streaming)

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Bazaarvoice

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Location:
India , Bengaluru

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are building our next-generation Data Enrichment Platform and we need a heavy hitter to help us scale. We aren't just moving data; we are building the real-time engine that powers our business. As a core member of our engineering team, you will architect high-throughput pipelines, solve complex latency challenges, and define the standards for a robust Lakehouse architecture. If you obsess over JVM internals, distributed consistency, and Exactly-Once semantics, this is the role for you.

Job Responsibility:

  • Architect high-throughput pipelines
  • Solve complex latency challenges
  • Define standards for a robust Lakehouse architecture
  • Lead design of distributed streaming architectures using Kafka Streams, Spark, and Flink
  • Build roadmap for transition to Lakehouse architecture
  • Dive deep to identify system bottlenecks
  • Own stability of pipelines processing massive events per second
  • Solve for data integrity and low latency
  • Drive culture of reliability through robust monitoring (Datadog/Prometheus), observability, and automated testing frameworks
  • Proactively identify opportunities to refactor and modernize platform for efficiency and cost-effectiveness

Requirements:

  • 8+ years of software engineering experience
  • At least 5 years of deep production expertise in Scala or Java (concurrency, memory management, GC tuning)
  • Deep JVM knowledge required
  • 5+ years hands-on with the Kafka ecosystem (Apache Kafka, Kafka Streams, Kafka Connect, Flink, Spark)
  • Proven track record of designing resilient systems under heavy load
  • Mastery of the AWS ecosystem (MSK, EMR, Athena, Lambda)
  • Experience with Terraform
  • Experience with Kubernetes
What we offer:
  • Competitive salary
  • Insurance
  • Annual leave
  • Bonuses
  • Referral rewards

Additional Information:

Job Posted:
February 17, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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