Company Name: Union AI

Job Details: $160-200kOffers,EquityKubernetesAWSGCPPythonGoTerraformAzureRustPulumiSenior,and,Expert,levelRemote,from,US

Job Url: https://app.welcometothejungle.com/jobs/kYDNMumC?theme=newly-added

Job Description: RoleWho you are5+ years of experience building production backend systems, with strong proficiency in GoDemonstrated 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 levelSignificant experience with multiple major cloud providers (AWS, GCP, Azure), including compute, networking, and IAMFamiliarity with Kubernetes, container orchestration, and cloud-native patternsStrong communication skills and a collaborative approach to problem-solvingIf in the Seattle/Bellevue area, you will be expected to be in-office, in a hybrid scheduleWe encourage you to apply, even if your experience doesn’t align exactly with our job descriptionDesirableExperience with Python and/or Rust for SDK or tooling developmentExperience building infrastructure for ML/AI workloads (training, inference, data pipelines)Background in systems programming, networking, or storageContributions to open-source projectsExperience with Terraform, Pulumi, or other infrastructure-as-code toolsWhat the job involvesWe're looking for a Senior Software Engineer to join our backend team and help build the infrastructure that powers AI workloads at scaleYou'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 systemsThis 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 learningDesign, build, and operate backend services in Go that handle high-throughput, latency-sensitive workloadsOptimize system performance across compute, memory, and network dimensions—identifying bottlenecks and implementing measurable improvementsBuild and maintain integrations with AWS, GCP, and Azure, abstracting cloud-specific complexity behind clean interfacesArchitect systems that run reliably across multiple cloud providers, handling the nuances of each platformCollaborate with ML engineers and platform teams to understand workload characteristics and design systems that meet their needsParticipate in on-call rotations and incident response, continuously improving system reliabilityInfluence technical direction through design documents, code reviews, and mentorshipShare this jobReport a problem with this jobHide companyCompanyCompany benefits401K Match: Union.ai matches 100% of contributions up to the first 3%, and 50% up to 5%Unlimited PTO + 12 paid holidaysGenerous parental leave for either caregiverComprehensive paid medical, dental and vision plans for you and your dependentsYour company laptop is yours to keep after 2 years — we will replace it with a new oneFunding (2 rounds)May 2023$19.1mSERIES AApr 2022$10mSEEDTotal funding: $29.1mOur takeUnion.ai is an open-source startup headquartered in Washington. It specializes in enabling businesses to construct and manage their AI and data workflows on a large scale through its cloud-native automation platform.At the company's core lies Flyte, an open-source tool designed to construct workflow automation platforms that emphasize data, machine learning, and analytics stacks. Union aims to provide a platform for creating ETL pipelines, analytic workflows, and machine learning pipelines, setting itself apart from others available on the market.With support from investors, Union launched its fully managed Union Cloud Service for customers in North America and Europe. It has plans to continue accelerating growth and broadening its range of offerings, as it stays poised to take the next steps towards expanding its presence in the market.FreddieCompany Specialist at Welcome to the Jungle