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, is the emerging standard for modern data and AI orchestration, with numerous leading technology organizations - like LinkedIn, Spotify, and Gojek - running millions of mission-critical workloads on the platform. We have a deep bench of infrastructure veterans from companies in the Big Three and beyond and a technical founding team who originally created Flyte while at Lyft.
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 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.
What We're Looking For
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.
Nice to Have
Experience with Python and/or Rust for SDK or tooling development.
Experience building infrastructure for ML/AI workloads (training, inference, data pipelines).
Background in systems programming, networking, or storage.
Contributions to open-source projects.
Experience with Terraform, Pulumi, or other infrastructure-as-code tools.
Benefits & Belonging
At Union.ai we know that employees who feel their best can build amazing things and we are proud to offer best in class benefits that will continually evolve and grow as the needs of our employees do. Benefits may vary based on country
Excellent medical - We pay 100% of your premiums and 90% for your dependents
Generous dental and vision plans- We pay 90% of the premiums for you and your dependents
Meaningful equity in the form of options – all employees are owners here
Unlimited time off + 12 company holidays
401K match - Union.ai matches 100% of contributions up to the first 3%, and 50% up to 5%
16 weeks paid parental leave for primary and secondary caregivers
Flexible work schedule (some restrictions apply)
For in office employees: Lunch provided onsite and well stocked kitchen with snacks and drinks.
We believe that our differences are what bring us together to achieve truly special outcomes. We strive to be inclusive and focus on building teams that embody that quality too. Union.ai is an equal-opportunity employer and we encourage you to apply, even if your experience doesn’t align exactly with our job description.
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