Software Engineer (Cloud Platforms)Software Engineer (Cloud Platforms)Location - San Mateo, CA (Hybrid – 4 Days Onsite, Fridays Remote)Compensation - $180,000 – $280,000 Base + Competitive EquityVisa - Visa sponsorship available on a case-by-case basisCompany Stage - High-Growth VC-Backed Startup (Founded by UC Berkeley PhDs & Databricks Founders)Industry - AI Infrastructure, Cloud Platforms, Kubernetes, Multicloud ComputingThe company is building the future of multicloud AI infrastructure by providing a unified control plane that enables organizations to run, manage, and optimize AI workloads across cloud providers and on-premise environments.Originally developed as a UC Berkeley research project, the platform has become one of the fastest-growing infrastructure products in AI, powering production workloads for Fortune 500 companies and leading AI-native startups.The platform abstracts away cloud complexity and provides a portable, cost-optimized, and highly available interface for managing large-scale AI compute across more than 17 cloud providers and Kubernetes environments.With adoption growing more than 600% in the past year and strong backing from world-class investors and technical leaders, the company is scaling rapidly and building a world-class engineering team focused on distributed systems, cloud infrastructure, and AI platforms.This role will own critical components of the commercial cloud platform and help architect the next generation of multicloud infrastructure for AI workloads.What You'll DoArchitect and build the commercial cloud platform from the ground upDesign and implement scalable control plane and data plane systemsBuild tenant management, user management, authentication, and authorization servicesDevelop core platform services including APIs, billing systems, monitoring, and platform infrastructureDesign cloud-native services using Go, Kubernetes, gRPC, and PostgreSQLBuild highly reliable, secure, and scalable SaaS platform capabilitiesCreate systems for monitoring, alerting, observability, and platform operationsPartner closely with founders and engineering leadership on technical architecture decisionsHelp define the long-term platform strategy and engineering roadmapWork on infrastructure powering AI workloads at massive scale across multiple cloud providersDrive engineering excellence and help establish platform engineering best practicesIdeal Candidate BackgroundExperience Requirements6+ years of experience as a backend, platform, or infrastructure engineerExperience building SaaS products from 0-to-1 rather than maintaining mature systemsExperience at VC-backed startups during Seed through Series C growth stagesExperience building core platform services used by customers in productionExperience designing and shipping scalable distributed systemsExperience as an early employee at a startup that successfully scaled preferredDemonstrated ownership of platform architecture and technical decision-makingStrong startup builder mentality with a bias toward executionTechnical RequirementsStrong Go engineering experience preferredProduction Kubernetes experience (required)Experience building cloud-native services and distributed systemsExperience with gRPC and service-oriented architecturesStrong PostgreSQL experienceExperience using Terraform or infrastructure-as-code toolsExperience designing SaaS platform architectureStrong backend system design fundamentalsExperience with monitoring, observability, and production operationsFamiliarity with cloud infrastructure and multicloud environmentsStrong debugging and performance optimization skillsEducationBachelor's degree in Computer Science, Software Engineering, Computer Engineering, or related fieldStrong academic background from a top engineering program preferredSoft SkillsHigh ownership mentalityStrong communication and collaboration skillsComfortable operating in ambiguityStartup-minded builderStrong product and business judgmentAbility to execute independentlyCustomer-focused engineering mindsetPassion for solving complex infrastructure challengesPreferred BackgroundsCloud infrastructure startupsDeveloper platform companiesKubernetes-native organizationsSaaS platform engineering teamsInfrastructure software startupsDistributed systems companiesEarly-stage venture-backed startupsEngineers who joined startups during 0-to-1 phasesCompensation & BenefitsBase Salary: $180,000 – $280,000Competitive Equity PackageSignificant ownership over platform architectureDirect collaboration with founders and leadershipOpportunity to shape a category-defining infrastructure platformExposure to cutting-edge AI infrastructure challengesHybrid work environment in San MateoRapid career growth opportunitiesOpportunity to build systems powering the future of AI computeWhy JoinThis is an opportunity to help build the infrastructure layer powering the next generation of AI applications.You'll work on highly technical distributed systems challenges involving Kubernetes, cloud platforms, multicloud orchestration, scalability, and reliability while helping organizations manage some of the largest AI workloads in production.As an early platform engineer, you'll have significant influence over architecture, product direction, and engineering culture while building technology that sits at the center of the rapidly expanding AI ecosystem.