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Staff Software Engineer

Job Description

About Bazaarvoice

At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products.

 

The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty.

Our brand promise : closing the gap between brands and consumers.

Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia.

It’s official: Bazaarvoice is a Great Place to Work in the US , AustraliaIndia, Lithuania, France, Germany and the UK!

What is the Big Data Analytics Platform at Bazaarvoice?

Authentic data is the lifeblood of the Bazaarvoice business. It is imperative that our data is consumable, interpretable, and instantly available to fuel insights across our brand, retailer and consumer customers. The Big Data Analytics Platform team owns and innovates a portfolio of data platform technologies as a service to other engineering teams at Bazaarvoice - including data lakes, metadata management, analytics streaming, and more.

This Staff Software Engineer role requires:

  • 8+ years experience in software/data engineering roles
  • Veteran knowledge in at least one programming language such as Java.
  • Solid experience working within cloud technologies such as AWS
  • Experience in building large scale, high-performance, and scalable solutions
  • Experience of Agile or Kanban / Lean software development methodologies
  • High attention to detail, flexible, and able to work concurrently on multiple projects
  • Ability to troubleshoot, research, and work through complex problems
  • Excellent written and verbal communication skills
  • Excellent interpersonal skills
  • Strong ability to communicate effectively and collaborate with others
  • Track record of taking ownership and delivering outcomes

You are:

  • Naturally curious and inquisitive, seek knowledge, and apply knowledge
  • Technically curious and well informed; have opinions that are rooted in knowledge and experience
  • On top of trends in the industry or marketplace and develop plans to prepare for opportunities or problems.
  • Outcome-oriented, with a strong drive to meet their personal objectives and standards of excellence
  • Proactively reviewing your own performance to develop your skill set and keep relevant knowledge up to date

You have experience with most of:

  • Experience with Java.
  • Experience with modern CI/CD and engineering tooling – we leverage Amazon Web Services, CloudFormation, Terraform, Jenkins, and a variety of vendor services.
  • Experience with microservice-oriented architectures.
  • Experience with restful web services
  • Experience with agile methodologies.

Good to have

  • Experience with Big Data Technologies - Hive, EMR, Spark
  • Experience with Data Streaming Technologies - Kafka, Kinesis
  • Experience with Database Technologies including MySQL, Postgres, Redshift, Athena, Elasticsearch, DynamoDB

 

Skills

  • Data Engineering
  • Java
  • AWS
  • Kanban
  • CI/CD
  • Big Data
  • Database

Education

  • Master's Degree
  • Bachelor's Degree

Job Information

Job Posted Date

Apr 23, 2025

Experience

8 to 12 Years

Compensation (Annual in Lacs)

Best in the Industry

Work Type

Permanent

Type Of Work

8 hour shift

Category

Information Technology

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