Software Development Engineer (System Analytics & Intelligence)

Quick Facts

• Hands-on role building backend services, infrastructure, and data models for System Analytics & Intelligence (SAIL)

Description

As a hands-on software engineer, you will own the backend services, infrastructure, and data models behind SAIL’s analytics products. You’ll build a unified platform that correlates events across specialized systems to provide end-to-end observability of the Core OS development workflow. The role includes end-to-end ownership across the software development lifecycle and cross-functional collaboration to use data to drive impact.

Responsibilities

• Engineer scalable backend services, infrastructure, and data models for analytics products
• Design a unified platform to correlate events across multiple systems for end-to-end observability
• Participate across the Core OS software development lifecycle (code through review, testing, and release)
• Work cross-functionally to use data to drive meaningful improvements in the developer experience

Requirements

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

Benefits

Not specified in the provided posting.