Software Engineer, Data Acquisition

Lucidworks is leading digital transformation for some of the world's biggest retailers, financial services firms, manufacturers, and B2B commerce organizations. We believe that the core to a great digital experience starts with search and browse. Our Deep Learning technology captures user behavior and utilizes machine learning to connect people with the products, content, and information they need. Brands including American Airlines, Lenovo, Red Hat, and Cisco Systems rely on Lucidworks' suite of products to power commerce, customer service, and workplace applications that delight customers and empower employees. Lucidworks believes in the power of diversity and inclusion to help us do our best work. We are an Equal Opportunity employer and welcome talent across a full range of backgrounds, orientation, origin, and identity in an inclusive and non-discriminatory way.

Please note: To ensure a fair and efficient process for all applicants, we kindly ask that you refrain from direct outreach to our hiring managers or team members. All communication should go through the official application portal. We will review your application carefully and reach out to you if your qualifications match our needs. We appreciate your interest in Lucidworks!

About the Role

The Data Acquisition team is a diverse global team responsible for developing connector plugins across Lucidworks’ suite of search and personalization products. These connectors are the lifeblood of the search ecosystem and provide the primary mechanism for indexing client data from a wide array of content repositories such as filestores, databases, CRMs, and intranets. The team is responsible for delivery of all plugins, as well as for the delivery and operation of the Data Integration Platform where they run.

As a Software Engineer, you will develop new connector plugins and maintain existing plugins as needed to fix bugs, accommodate downstream repository updates, or introduce new features in response to client needs. You will also work on our new Data Integration Platform to deliver a robust and modern platform that makes ingesting data from clients’ source systems reliable & efficient.

The ideal candidate is comfortable using modern developer tooling, including AI-assisted coding and debugging tools (e.g., large language models), while maintaining strong independent reasoning skills. We value engineers who use tools to accelerate understanding and execution—not to replace system design judgment, debugging rigor, or critical thinking.

Responsibilities

• Develop new plugins in accordance with requirement specifications and expected quality and design standards applied across our entire library of connectors.
• Update existing plugins to fix bugs, support new requirements, and/or address repository updates and changes.
• Debug plugin problems discovered through failing tests and client reports of unexpected behavior.
• Write pull requests describing fixes and other code changes to facilitate peer code review, and integrate peer feedback into your work.
• Ensure plugins are well-covered by robust unit and integration tests.
• Communicate estimates of effort to management to assist in team commitments to development timelines.
• Share knowledge with colleagues and management via developer documentation, team presentations, and demos.
• Join a sustainable on-call rotation focused on maintaining the health of our SaaS infrastructure.

Skills & Qualifications

• 5-7 years experience developing Java applications in an enterprise software organization.
• Experience with tools to access and retrieve data from multiple content repository systems.
• Experience tracking software development work using an issue tracking system (Jira preferred) and source control (Git and GitHub).
• Enthusiastic to grow as a software engineer and develop new skills in software development, technical communication, and team collaboration.
• Passionate about creating delightful customer and stakeholder experiences.
• Excellent technical communication skills and a drive to share knowledge with colleagues.
• Eager to work collaboratively with a diverse team spread across multiple time zones, regions, and cultures.
• Experience developing and supporting software in a continuously-delivered SaaS environment.
• Data access best practices and integration points with content management systems (such as SharePoint and LDAP/Active Directory, etc.).
• Accessing data over an API for data manipulation and transformation.
• Using cloud-native applications deployed with Kubernetes and Helm.
• Using cloud tools from GCS and/or AWS.
• Implementing a search application, particularly around indexing data.
• Python, Node, or Javascript.