Senior Software Engineer — XCore (Europe)

Backstory.ai helps companies understand the state of their revenue business by answering questions that span customer interactions, sales activity, pipeline health, and deal execution. The platform operates over trillions of sales activities, millions of deals, and more than 160 million business contacts, providing customers a unified view of the signals that drive revenue. Backstory is building AI systems that reason over massive amounts of enterprise data, working at the intersection of large language models, retrieval, evaluation, distributed data systems, and product design. The company emphasizes ownership and autonomy in engineering roles, focusing on robust data layers and elegant end-user presentation.

• 5+ years of professional experience building backend systems in an enterprise environment.
• 2+ years of experience programming in Python or Scala.
• Proven experience building and orchestrating microservices and service-oriented architectures (SOA).
• Deep understanding of databases, caching strategies, and low-latency service design.
• Experience designing clean, scalable APIs with a strong focus on client and end-user experience.
• Experience handling data synchronization from diverse external sources and designing high-consistency data pipelines.
• Comfortable taking ownership in unfamiliar or legacy codebases and incrementally refactoring and improving them.
• Strong inclination toward automation and reducing manual operational toil.
• Experience with Spark or big data processing is a plus.
• Strong communication skills with the ability to act as a true partner to Product, challenging requirements and driving roadmap decisions.

• Design, build, and maintain highly performant, low-latency APIs and distributed microservices handling identity, authorization, user profiles, settings, and product configurations.
• Own features end-to-end: partner with Product to shape and challenge requirements, system design, implementation, and production monitoring.
• Design and execute data pipelines moving massive volumes of data with guaranteed consistency and zero data loss, including audit-log systems and BI data exports.
• Maintain and improve existing features based on user feedback and evolving product requirements.
• Advocate for and introduce engineering best practices, including structured logging, cross-service request tracking, and robust error management.
• Ensure high-quality observability through alerting, dashboards, tracing, and runbooks for production services.
• Build reusable internal tooling to reduce manual operations for engineering teams and enable customer support self-service.
• Collaborate cross-functionally with Product, Design, and Engineering teams with clear and concise communication.