About The Position

The System Analytics & Intelligence (SAIL) team helps Core OS build better software faster by turning workflow data into strategic intelligence that improves developer productivity, software quality, and investment decisions. The Software Development Engineer will build the scalable services and data foundation that power SAIL's analytics products. This hands-on role owns backend services, infrastructure, and data models, and contributes to a unified platform that correlates events across specialized systems to provide end-to-end observability of the Core OS development workflow. The engineer will work across the Core OS software development lifecycle, from code review and testing through release, and partner with engineering teams to use data to drive impact. The role emphasizes customer experience, scalable and reliable services, and strong data engineering.

Requirements

  • 3+ years building production software systems, including backend services and APIs.
  • Strong proficiency in Python.
  • Strong software engineering fundamentals, with demonstrated ability in system design and architecture.
  • Experience with CI/CD and production deployment practices, such as containerized deployment with Docker and Kubernetes.
  • Strong data engineering fundamentals, including data modeling on modern data platforms such as data warehouses or data lakes.
  • Hands-on experience using AI-assisted development tools.
  • Ability to communicate effectively with technical and non-technical stakeholders.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Nice To Haves

  • Experience developing highly available, high-throughput distributed services.
  • Experience with relational and non-relational databases, message queueing, and workflow orchestration.
  • Experience building telemetry or analytics platforms for developer productivity or software development workflows, including systems that feed automated decision-making.
  • Experience shipping tools adopted by engineering teams beyond your own.
  • Familiarity with building ML frameworks, AI tools, or LLM-powered services.
  • Familiarity with TypeScript/JavaScript or modern frontend frameworks.
  • Master's degree or higher in Computer Science, Engineering, or a related field.

Responsibilities

  • Own the backend services, infrastructure, and data models behind SAIL's analytics products.
  • Engineer a unified platform that correlates events across specialized systems to provide end-to-end observability of the Core OS development workflow.
  • Build scalable and reliable services and the data foundation for SAIL's analytics products.
  • Contribute across the Core OS software development lifecycle, including code review, testing, and release.
  • Work cross-functionally with engineering teams to use data to drive impact.
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