Software Engineer — XCore (Europe)

Backstory.ai helps companies understand the state of their revenue business by answering questions across customer interactions, sales activity, pipeline health, and deal execution. The platform processes trillions of sales activities, millions of deals, and over 160 million business contacts to provide a unified view of revenue-driving signals. Notable customers include Nvidia, OpenAI, AMD, Red Hat, and Databricks. Backstory.ai develops AI systems that reason over large enterprise data sets, working with large language models, retrieval, distributed data systems, and product design.

• 3+ years of professional experience building backend systems in an enterprise environment.
• 1+ years of experience programming in Python or Scala.
• Solid understanding of microservices and service-oriented architectures (SOA).
• Familiarity with databases, caching strategies, and low-latency service design.
• Experience building and consuming REST APIs with focus on reliability and client experience.
• Exposure to data synchronization patterns and high-consistency data pipeline design.
• Ability to navigate and contribute to an unfamiliar codebase with guidance.
• Appreciation for automation to reduce manual operational toil.
• Experience with Spark or big data processing is a plus.
• Good communication skills for meaningful participation in product and engineering discussions.

• Build and maintain performant, low-latency APIs and distributed microservices handling identity, authorization, user profiles, settings, and product configurations.
• Implement and maintain data pipelines moving large volumes of data with consistency and reliability, including audit-log systems and BI data exports.
• Maintain and improve existing features based on user feedback and evolving product requirements.
• Follow and promote engineering best practices such as structured logging, cross-service request tracking, and robust error management.
• Contribute to production observability through alerting, dashboards, and runbooks.
• Build tooling to reduce manual operations for engineering teams and support customer support self-service workflows.
• Participate in end-to-end feature development from requirement discussions with Product through implementation to production monitoring.