Senior Software Engineer, Backend

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$160K-$200K Verified - from the job posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

54% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Software Engineer, Backend Seattle Remote About Us At Union, we are solving one of the hardest challenges in AI infrastructure today: enabling high-velocity iteration while maintaining seamless production-readiness for AI workloads at scale. Flyte , the open-source project we steward, has emerged as the modern standard for data and AI orchestration, and is trusted by leading technology organizations including LinkedIn, Stripe, and Wayve to run millions of mission-critical workflows on the platform. These workflows comprise data preparation, model training, and scaled inference spanning thousands of GPUs, all major clouds, and on-premise infrastructure. We have a technical founding team who created Flyte while at Lyft, a deep bench of infrastructure experts from top companies, and have raised from top investors like NEA and Nava Ventures. About the Role 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. What You'll Do 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

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