Principal Engineer

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 , Australia , India , Lithuania, France, Germany and the UK !

The Ideal Candidate

We are looking for a top-notch Principal Software Engineer to join the Bazaarvoice team in Belfast, UK. We are big believers in teamwork, knowledge sharing, and continuous learning.

The ideal candidate is self-motivated, extremely curious, a strong communicator, patient, and highly enthusiastic about driving cross-team collaboration to meet our growth objectives.

Beyond designing and implementing traditional distributed, fault-tolerant systems, you will be a visionary champion leading our agentic transformation. This means you will fundamentally shift our engineering culture and architecture from a paradigm of engineers writing manual code to an advanced model where engineers design, orchestrate, and manage autonomous AI agents.