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 - the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at Backstory, you'll be a part of a highly independent and autonomous team. Since we're building out a robust data layer that needs to be presented elegantly to the end-user, you'll be working with a large array of different technologies and fields. Expect lots of interesting challenges.
Responsibilities:- Design and implement core backend services and data pipelines.
- Perform data-driven research using big data and leveraging 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 experience with data analysis / data science tasks and/or ML
- 2+ years 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)
