Senior Backend Software Engineer (ML Feature Platform)

Quick Facts

• Role: Senior Backend Software Engineer focused on ML Feature Platform

Description

Own and deliver quarterly goals for the team while leading engineers through ambiguity to solve open-ended problems. Build and operate end-to-end ML feature pipelines—covering feature creation/exploration/serving, data storage and visibility, and offline backfilling infrastructure—while maintaining availability and latency. Partner with product, design, and analytics to shape technical decisions, manage risks, and set quality standards through code review and design practices.

Responsibilities

• Own and deliver quarterly team goals; lead through ambiguous, open-ended problem solving
• Collaborate with product management, design, and analytics; articulate technical constraints and trade-offs
• Proactively identify and resolve project, process, technology, or business issues
• Ensure operational excellence: create and monitor metrics, escalate when needed, support keep-the-lights-on and on-call
• Improve engineering quality: set/improve code review and design standards; advocate beyond the team
• Develop team talent through feedback, guidance, and leading by example

Requirements

• 4+ years of backend experience designing, developing, and launching at scale (Python or Kotlin)
• Track record delivering highly available distributed systems using AWS, MySQL, and Kubernetes
• Ability to define technical plans for significant features with elegant, extensible designs and high-quality, reusable code
• Experience safely evolving large codebases with a suite of tools and practices
• Demonstrated ownership of growth via proactive feedback seeking from team, manager, and stakeholders
• Strong verbal and written communication for global collaboration
• Equivalent practical experience or a Bachelor’s degree in a related field

Benefits

• 100% subsidized medical coverage for employees and dependents
• Dental and vision coverage
• Monthly stipends for health, wellness, and tech spending
• Flexible time off and generous holiday calendar
• Employee Stock Purchase Plan (ESPP) to buy company stock at a discount
• Inclusive interview process with accommodations for candidates with disabilities
• Remote-first work model with flexibility; occasional in-person onboarding