Support EngineerZuma is pioneering the future of agentic AI and our focus is to transform the rental market experience for consumers and property manager alike. Our innovative platform is engineered from the ground up to boost operations efficiency and enhance support capabilities for property management business across the US and Canada, a ~$200B market.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.
This 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.Why This Could Be Your Dream RoleYou want to work at a company where customers feel your impact every dayYou'll have autonomy to design and implement innovative technical solutionsYour work will directly impact thousands of apartment communities and millions of rentersYou'll receive significant equity in a venture-backed company with strong tractionAs we scale, your role and influence will grow with the companyWhy You Might Want to Think TwiceThis is a demanding role that will often require extended hours and deep commitmentAs a founding team member, you'll need to wear multiple hats and step outside your comfort zoneYou'll need to make thoughtful tradeoffs between innovation and immediate needsYou'll interact directly with customers to understand their needs and occasionally travel to their officesWe're a startup - priorities can shift rapidly as we respond to market opportunities and customer needsIf you're not comfortable getting your hands dirty with legacy code or speaking directly with customers, this isn't the job for youResponsibilitiesLead critical system rewrites to transform our architecture into a highly scalable, resilient foundationOwn the design and performance optimization of our data storage systems, ensuring they scale with customer and AI demandsBuild and evolve our deployment pipelines, enabling reliable, automated releases for AI-first productsSet up and manage modern cloud infrastructure from scratch, leveraging Infrastructure as Code (IaC) to ensure consistency, security, and scalabilityEstablish engineering best practices, including observability, incident response processes, and system hardening for an AI-first platformDrive robust analytics and monitoring to track performance, reliability, and the effectiveness of our AI solutionsMentor engineers and elevate the team's capabilities across infrastructure, scalability, and AI product developmentYour Experience Looks LikeBachelor's or Master's degree in Computer Science, Engineering, or a related technical field3+ years of experience building production-grade software systems, with a focus on scalability, performance, and reliabilityProven expertise in backend development with Node.js, including API design, system architecture, and cloud-based servicesExperience with cloud infrastructure (AWS, GCP, or similar) and deploying production systems using Infrastructure as Code (e.g., Terraform, Pulumi)Hands-on experience with database design, performance tuning, and scaling high-throughput data systemsFamiliarity with building and maintaining CI/CD pipelines, automated testing, and modern DevOps practicesStrong communication skills and ability to work effectively in a distributed, fast-paced environmentComfortable operating in early-stage, high-ownership environments with evolving requirementsBonus: Experience with React and TypeScript on the frontend, though this role leans backend/infrastructureBonus: Exposure to LLM-based systems, AI infrastructure, or agentic AI workflowsGuiding PrinciplesCustomer-First Outcomes: Every commit should trace back to resident or operator value.Bias for Simplicity: We favor composable primitives over clever abstractions.Quality Is a Gate, Not an After-Thought: Quality is built-in from day one.Data-Driven Choices: We use data to guide, not paralyze, our decision-making.Transparency & Written Culture: Good ideas don't expire in Zoom.Other BenefitsGreat health insurance, dental, and vision.Gym and workspace stipends.Computer and workspace enhancements.Unlimited PTO.Opportunity to play a critical role in building the foundations of the company and Engineering culture.