Software Engineer

What you'll do

• Build and maintain the data infrastructure that powers dynamic, catalogue-driven advertising at scale
• Own features end-to-end: ship multiple features independently from design through deployment and monitoring
• Improve data ingestion reliability by identifying and resolving bottlenecks or failure points
• Design clear API boundaries and system decisions balancing needs of consuming teams and platform health
• Deliver thorough code reviews to improve code quality, maintainability, testing, and observability
• Integrate AI-assisted development tools into workflow and articulate their impact
• Take ownership of features from design to production including monitoring, iteration, and cleanup
• Proactively address issues and system degradation without waiting for assignment
• Make system design decisions considering long-term platform health and other teams' needs
• Flag technical debt and advocate for appropriate tradeoffs between speed and long-term health
• Engage in collaborative standard-setting through code reviews and knowledge sharing

Requirements

• 4+ years building and maintaining production backend services or platforms
• Proficiency in at least one modern backend language (Node.js, Go, Python, Ruby, or equivalent)
• Experience designing services that process high-volume data — ingestion, transformation, or analysis at scale
• Ability to define clean API boundaries and reason clearly about system design tradeoffs
• Solid practices around testing, monitoring, and incident response as first-class engineering concerns
• Strong communicator who collaborates effectively with engineers, PMs, and designers across a multidisciplinary team
• Exposure to distributed systems, high-availability platforms, or large-scale data pipelines (preferred)
• Experience with cloud or containerized environments (AWS, Docker, Kubernetes) (preferred)

Tech stack