Senior Software Engineer, Ad Platform

The Opportunity

Wurl is seeking a Senior Software Engineer to build and optimize the high-concurrency Go services powering our real-time advertising platform. We operate at massive scale, handling 100k+ OpenRTB requests per second where latency is measured in single-digit milliseconds. You will be a key contributor to our core engine, ensuring our services thrive under extreme load while providing a strong technical reference point for the team’s Go development practices.

Key Responsibilities

Technical Execution & Performance

• Feature Ownership: Lead the design and implementation of complex features within our Go-based ad-serving stack, optimized for high throughput.
• Systems Optimization: Use pprof and tracer to eliminate bottlenecks; tune memory allocation and goroutine usage to meet aggressive p99 latency targets.
• Protocol Mastery: Maintain high-speed support for OpenRTB and VAST protocols, focusing on efficient request parsing and validation.
• Stream Processing: Integrate services with Kafka pipelines and with low-latency data stores to support real-time decisioning.

Operational Excellence & Partnership

• Platform Partnership: Work closely with Platform Engineers to ensure application behavior aligns with infrastructure capabilities, specifically around auto-scaling triggers, networking, and deep observability.
• Defensive Engineering: Implement reliability patterns (circuit breakers, retries, graceful degradation) to maintain uptime during traffic surges.
• Production Ownership: Take end-to-end responsibility for services, from initial design through deployment to Kubernetes (EKS) and production monitoring.

Team Leadership

• Architectural Rigor: Lead design reviews, providing critical feedback on system architecture, data modeling, and API design.
• Mentorship: Grow the team through thoughtful code reviews and informal sessions on Go best practices and distributed systems.

Requirements

• Go Expertise: 5+ years of professional experience building high-scale services in Go, with a deep understanding of internals (GC, scheduling, and memory management).
• High-Scale Systems: Proven track record of operating distributed systems handling 100k+ RPS.
• Concurrency: Mastery of goroutines, channels, and synchronization primitives.