As a Support Engineer at Zuma, you'll be a bridge between our customers, engineering team, and product vision. You'll ensure new customers onboard smoothly, integrations run reliably, and support operations scale as we grow.
\nThis is a hands-on role for someone who loves problem-solving, can dive into APIs and databases, and takes pride in clear documentation and communication. You'll help property managers succeed with our AI platform while also driving continuous improvements in our internal tools and processes.
\nResponsibilities:
\nWhy This Could Be Your Dream Role:
\nWhy You Might Want to Think Twice:
\nOther Benefits:
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\nYou'll help property managers succeed with our AI platform while also driving continuous improvements in our internal tools and processes.
\nResponsibilities:\nLead critical system rewrites to transform our architecture into a highly scalable, resilient foundation\nOwn the design and performance optimization of our data storage systems, ensuring they scale with customer and AI demands\nBuild and evolve our deployment pipelines, enabling reliable, automated releases for AI-first products\nSet up and manage modern cloud infrastructure from scratch, leveraging Infrastructure as Code (IaC) to ensure consistency, security, and scalability\nEstablish engineering best practices, including observability, incident response processes, and system hardening for an AI-first platform\nDrive robust analytics and monitoring to track performance, reliability, and the effectiveness of our AI solutions\nMentor engineers and elevate the team's capabilities across infrastructure, scalability, and AI product development
\nYour Experience Looks Like:\nBachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field\n3+ years of experience building production-grade software systems, with a focus on scalability, performance, and reliability\nProven expertise in backend development with Node.js, including API design, system architecture, and cloud-based services\nExperience with cloud infrastructure (AWS, GCP, or similar) and deploying production systems using Infrastructure as Code (e.g., Terraform, Pulumi)\nHands-on experience with database design, performance tuning, and scaling high-throughput data systems\nFamiliarity with building and maintaining CI/CD pipelines, automated testing, and modern DevOps practices\nStrong communication skills and ability to work effectively in a distributed, fast-paced environment\nComfortable operating in early-stage, high-ownership environments with evolving requirements\nBonus: Experience with React and TypeScript on the frontend, though this role leans backend/infrastructure\nBonus: Exposure to LLM-based systems, AI infrastructure, or agentic AI workflows
\nGuiding Principles:\nCustomer‑First Outcomes\nBias for Simplicity\nQuality Is a Gate, Not an After‑Thought\nData‑Driven Choices\nTransparency & Written Culture
\nOther Benefits:\nGreat health insurance, dental, and vision\nGym and workspace stipends\nComputer and workspace enhancements\nUnlimited PTO\nOpportunity to play a critical role in building the foundations of the company and Engineering culture
\nXML job scraping automation by YubHub
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