Senior Backend Software Engineer, Union AI

• 5+ years of experience building production backend systems, with strong proficiency in Go
• Demonstrated experience designing and operating large-scale distributed systems (high availability, fault tolerance, horizontal scaling)
• Deep understanding of performance optimization—you can profile code, interpret flame graphs, and reason about latency at the p99 level
• Significant experience with multiple major cloud providers (AWS, GCP, Azure), including compute, networking, and IAM
• Familiarity with Kubernetes, container orchestration, and cloud-native patterns
• Strong communication skills and a collaborative approach to problem-solving
• If in the Seattle/Bellevue area, you will be expected to be in-office, in a hybrid schedule
• We encourage you to apply, even if your experience doesn’t align exactly with our job description

Desirable

• We're looking for a Senior Software Engineer to join our backend team and help build the infrastructure that powers AI workloads at scale
• You'll design and implement core services in Go, work across multiple cloud environments, and collaborate with customers and internal teams to deliver reliable, low-latency systems
• This role is ideal for someone who enjoys solving hard distributed systems problems, cares deeply about performance, and wants to work at the intersection of cloud infrastructure and machine learning
• Design, build, and operate backend services in Go that handle high-throughput, latency-sensitive workloads
• Optimize system performance across compute, memory, and network dimensions—identifying bottlenecks and implementing measurable improvements
• Build and maintain integrations with AWS, GCP, and Azure, abstracting cloud-specific complexity behind clean interfaces
• Architect systems that run reliably across multiple cloud providers, handling the nuances of each platform
• Collaborate with ML engineers and platform teams to understand workload characteristics and design systems that meet their needs
• Participate in on-call rotations and incident response, continuously improving system reliability
• Influence technical direction through design documents, code reviews, and mentorship