Software Engineer (Java)

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

Software Engineer (Java) Bazaarvoice is looking for a Software Engineer (Java) to help build, scale, and maintain the core services powering our global consumer feedback and e-commerce network. In this role, you will take ownership of backend components, RESTful APIs, and data pipelines—working on features from technical design through to production deployment and monitoring. You will also contribute to emerging AI-powered capabilities, including agentic systems that enhance our products and internal tooling.

This position is ideal for a mid-level engineer who has solid Java experience, understands modern microservice architectures, and is eager to deepen their technical skills (including foundational AI and agentic AI knowledge) while making a direct impact on high-scale systems.

What You’ll Do

• Feature Development Ownership: Design, code, test, and deploy key features for our core Java backend services and REST APIs, taking ownership of assigned deliverables from initial design through to production release.
• System Performance & Scalability: Write clean, efficient code optimized for performance and reliability across high-traffic cloud environments. Assist with database query tuning, service optimization, and performance monitoring.
• AI & Agentic Capabilities Support: Collaborate on integrating and extending AI-powered features, including agentic workflows (e.g., tool-using agents, multi-step reasoning systems).
• Cross-Functional Collaboration: Work alongside Frontend/Data Engineers to refine technical specifications, break down tasks, and deliver iterative updates to member-facing products and internal tools.
• Quality & Operational Excellence: Maintain high code quality by writing robust unit and integration tests, participating in peer code reviews, troubleshooting production issues, and monitoring application performance using tools like Datadog.
• Continuous Improvement: Participate in architectural discussions, contribute to technical documentation, and adopt modern tooling and backend best practices—including emerging patterns for agentic AI systems.

What We’re Looking For

• Experience: 4–7 years of professional backend software development experience, with a strong foundation in object-oriented design and cloud-based architecture.
• Core Java Skills: Solid working proficiency in Java (Java 11/17+), including familiarity with collection frameworks, concurrency basics, and modern Java features.
• Spring Ecosystem: Hands-on experience building backend applications using Spring Boot and Spring Data.
• APIs & Messaging: Experience building and consuming RESTful APIs, along with exposure to asynchronous messaging technologies like Apache Kafka, AWS SQS/SNS.
• Databases: Solid understanding of relational databases (PostgreSQL, MySQL) including writing complex queries, alongside exposure to S3 Data lake.Familiarity with AWS data services such as Amazon Athena and AWS Glue Data Catalog is a plus.
• Cloud & DevOps Basics: Familiarity with AWS services, containerizati…