Architect at Scale: Lead the design of distributed streaming architectures using Kafka Streams, Spark, and Flink. You will build the roadmap for our transition to a robust Lakehouse architecture.
Performance Tuning: Dive deep into the system to identify bottlenecks. You will own the stability of pipelines processing massive events per second, solving for data integrity and low latency.
Quality by Design: Set the engineering standard. You will drive a culture of reliability through robust monitoring (Datadog/Prometheus), observability, and automated testing frameworks.
Modernization: proactively identify opportunities to refactor and modernize the platform for maximum efficiency and cost-effectiveness.

Veteran Engineer: 8+ years of software engineering experience, with at least 5 years of deep production expertise in Scala or Java (concurrency, memory management, GC tuning). Deep JVM knowledge required.
Streaming Expert: 5+ years hands-on with the Kafka ecosystem. You understand offsets, partitions, rebalancing, and state stores intimately. Apache Kafka, Kafka Streams, Kafka Connect, Flink, Spark.
Data Architect: You have a proven track record of designing systems that remain resilient under heavy load. You understand the trade-offs between consistency models and storage formats.
AWS Native: Mastery of the AWS ecosystem (handling TBs of data) is second nature to you. AWS (MSK, EMR, Athena, Lambda), Terraform, Kubernetes.

Hybrid — Prestige Tech Pacific

Customer is key: We see our own success through our customers’ outcomes. We approach every situation with a customer first mindset.
Transparency & Integrity Builds Trust: We believe in the power of authentic feedback because it’s in our DNA. We do the right thing when faced with hard choices. Transparency and trust accelerate our collective performance.
Passionate Pursuit of Performance: Our energy is contagious, because we hire for passion, drive & curiosity. We love what we do, and because we’re laser focused on our mission.
Innovation over Imitation: We seek to innovate as we are not content with the status quo. We embrace agility and experimentation as an advantage.
Stronger Together: We bring our whole selves to the mission and find value in diverse perspectives. We champion what’s best for Bazaarvoice before individuals or teams. As a stronger company we build a stronger community.

Global perspective: Head over to our global Linkedin Life Page, Life at Bazaarvoice to see what makes us tick worldwide.
Regional Teams: Visit our APAC Life Page to see what life is like in our local offices.
Want an inside look at Bazaarvoice India? > Follow our journey and check out our team reviews on AmbitionBox

Bazaarvoice provides equal employment opportunities (EEO) to all team members and applicants according to their experience, talent, and qualifications for the job without regard to race, color, national origin, religion, age, disability, sex (including pregnancy, gender stereotyping, and marital status), sexual orientation, gender identity, genetic information, military/veteran status, or any other category protected by federal, state, or local law in every location in which the company has facilities.
Bazaarvoice believes that diversity and an inclusive company culture are key drivers of creativity, innovation and performance. Furthermore, a diverse workforce and the maintenance of an atmosphere that welcomes versatile perspectives will enhance our ability to fulfill our vision of creating the world’s smartest network of consumers, brands, and retailers.

Bazaarvoice is hiring a Staff Software Engineer (Real Time/ Streaming Data Engineer)