Senior Software Engineer — Matching (Canada)

Backstory 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, giving customers a unified view of the signals that drive revenue.

As a Senior Software Engineer on the Matching team, you will work on Backstory's foundational technology — matching business activities to business context. You will handle a vast amount of business data, perform data‑driven research, design and develop algorithms and microservice architecture, write machine learning and automation code, and build scalable systems that power the AI engine behind Backstory's products.

We value ownership highly and expect engineers to take ideas from conception to shipping.

Responsibilities

• Design and implement core backend services and data pipelines.
• Perform data‑driven research using big data and leveraging the Data Science toolset.
• Document design choices and operational knowledge to successfully deploy and run services.
• Provide appropriate test coverage, unit and integration testing, with focus on performance and cost efficiency for your feature ownership areas.
• Ensure robust alerting, dashboards, and runbooks for production services are in place.
• Collaborate within the team and with other engineering teams to build new features and products according to business needs.
• Follow software design and development best practices and promote such practices in the team.

Requirements

• 5+ years of professional experience working on backend systems in an enterprise environment
• 3+ years of experience with data analysis / data science tasks and/or ML
• 2+ years of experience programming in Python 2.x/3.x or Scala or Java
• Experience with AI development tools (especially agentic AI) is a plus
• Experience developing systems based on LLM is a plus
• Understanding of SOA, microservices, and event‑driven architecture
• Experience with an enterprise‑grade stack for scalable web apps including messaging broker, in‑memory storages, NoSQL, and key‑value databases
• Strong knowledge of TDD, unit, and automated test paradigms
• Experience with SQL and RDBMS solutions
• Experience with large‑scale data processing (Spark)