Staff Software Engineer, Kafka Streaming

🕒 January 21

🏢🏡 Bengaluru – Hybrid

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Logo of Bazaarvoice

Bazaarvoice

WebsiteLinkedIn

1001 - 5000 employees

Founded 2005

🛍️ eCommerce

🤝 B2B

💰 $6.7M Post-IPO Equity on 2012-11

eCommerce • Marketing • B2B

Bazaarvoice is a leading user-generated content (UGC) platform that connects brands and retailers with the voices of their customers. By leveraging UGC across the consumer journey, Bazaarvoice enhances the shopping experience and boosts sales through genuine customer reviews, social media content, and targeted marketing. The company offers a range of solutions including product sampling, social commerce, ratings and reviews, and retail syndication, aimed at improving customer satisfaction and loyalty. Through its HarmonyAI engine and Bazaarvoice Vibe, the company optimizes content supply chains and enables brands to harness the power of creator marketing. Trusted by over 13,000 brands worldwide, Bazaarvoice helps businesses scale globally, improve product detail pages, and drive conversion rates through actionable insights and competitive benchmarking.

📋 Description

• Lead the design of distributed streaming architectures using Kafka Streams, Spark, and Flink • Build the roadmap for our transition to a robust Lakehouse architecture • Identify bottlenecks and own the stability of pipelines processing massive events per second • Drive a culture of reliability through robust monitoring (Datadog/Prometheus), observability, and automated testing frameworks • Proactively identify opportunities to refactor and modernize the platform for maximum 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 • Understanding offsets, partitions, rebalancing, and state stores • Proven track record of designing systems that remain resilient under heavy load • Mastery of the AWS ecosystem (handling TBs of data) • Knowledge of AWS (MSK, EMR, Athena, Lambda), Terraform, Kubernetes

🏖️ Benefits

• Competitive salary + good benefits (insurance, annual leave, bonuses, referral rewards, and more). • Hybrid work model (3 days in office – Prestige Tech Pacific).

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