Zuma Logo

Zuma

Senior Engineer

Posted 2 Days Ago
In-Office or Remote
6 Locations
Senior level
In-Office or Remote
6 Locations
Senior level
Lead design and rewrites to build a scalable, resilient backend and cloud infrastructure. Own data storage performance, CI/CD pipelines, IaC, observability, incident response, and analytics. Mentor engineers, support customer onboarding and integrations, and drive reliability and scalability for AI-first products.
The summary above was generated by AI
About Zuma

Zuma 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.

Off the back of our Series-A in early 2024, Zuma is scaling rapidly. Achieving our vision requires a team of passionate, innovative individuals eager to leverage technology to redefine customer-business interactions. We're on the hunt for exceptional talent ready to join our mission and contribute to building a groundbreaking technology that reshapes how businesses engage with customers.

Zuma has raised over $17M in funding to date and has support from world-renowned investors, including Andreessen Horowitz (a16z), Y Combinator, King River, Range Ventures, and distinguished angel investors like YC’s former COO, Qasar Younis.

The Role

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 Role

  • You want to work at a company where customers feel your impact every day
  • You'll have autonomy to design and implement innovative technical solutions
  • Your work will directly impact thousands of apartment communities and millions of renters
  • You'll receive significant equity in a venture-backed company with strong traction
  • As we scale, your role and influence will grow with the company

Why You Might Want to Think Twice

  • This is a demanding role that will often require extended hours and deep commitment
  • As a founding team member, you'll need to wear multiple hats and step outside your comfort zone
  • You'll need to make thoughtful tradeoffs between innovation and immediate needs
  • You'll interact directly with customers to understand their needs and occasionally travel to their offices
  • We're a startup - priorities can shift rapidly as we respond to market opportunities and customer needs
  • If you're not comfortable getting your hands dirty with legacy code or speaking directly with customers, this isn't the job for you

Responsibilities

  • Lead critical system rewrites to transform our architecture into a highly scalable, resilient foundation
  • Own the design and performance optimization of our data storage systems, ensuring they scale with customer and AI demands
  • Build and evolve our deployment pipelines, enabling reliable, automated releases for AI-first products
  • Set up and manage modern cloud infrastructure from scratch, leveraging Infrastructure as Code (IaC) to ensure consistency, security, and scalability
  • Establish engineering best practices, including observability, incident response processes, and system hardening for an AI-first platform
  • Drive robust analytics and monitoring to track performance, reliability, and the effectiveness of our AI solutions
  • Mentor engineers and elevate the team's capabilities across infrastructure, scalability, and AI product development

Your Experience Looks Like

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
  • 3+ years of experience building production-grade software systems, with a focus on scalability, performance, and reliability
  • Proven expertise in backend development with Node.js, including API design, system architecture, and cloud-based services
  • Experience 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 systems
  • Familiarity with building and maintaining CI/CD pipelines, automated testing, and modern DevOps practices
  • Strong communication skills and ability to work effectively in a distributed, fast-paced environment
  • Comfortable operating in early-stage, high-ownership environments with evolving requirements
  • Bonus: Experience with React and TypeScript on the frontend, though this role leans backend/infrastructure
  • Bonus: Exposure to LLM-based systems, AI infrastructure, or agentic AI workflows

Guiding Principles

  • Customer‑First Outcomes
    Every commit should trace back to resident or operator value. Whether it’s a new feature, infra investment, or AI capability, if it doesn’t solve a real problem, it doesn’t ship.
    Bias for Simplicity
    We favor composable primitives over clever abstractions. Open standards, clean APIs, and clear contracts win over custom complexity, even if the custom version is cooler.
    Quality Is a Gate, Not an After‑Thought
    Quality is built-in from day one. Our definition of done includes: test coverage, performance checks, basic observability, and internal docs. Shipping fast doesn’t mean skipping craftsmanship.
    Data‑Driven Choices
    We use data to guide, not paralyze, our decision-making. We track leading indicators (cycle time, defect rate, NPS) and lagging signals (retention, revenue impact). We keep instrumentation lightweight but meaningful signal over spreadsheet.
    Transparency & Written Culture
    Good ideas don’t expire in Zoom. We operate in public inside the company, TDDs, PR reviews, and Linear tickets tell the story. This keeps us async-friendly, auditable, and aligned across time zones and functions.

Other Benefits

  • Great 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.

Similar Jobs

2 Days Ago
Easy Apply
Remote or Hybrid
Easy Apply
133K-172K Annually
Senior level
133K-172K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead detection, incident response, and digital forensics across macOS/Windows/Linux; act as Incident Commander, triage alerts, use SIEM, build investigation scripts and automated runbooks, collaborate with stakeholders on insider threat and security operations improvements.
Top Skills: AWSGCPLinuxmacOSPythonSIEMTofuWindows
2 Days Ago
Easy Apply
Remote
Easy Apply
133K-183K Annually
Senior level
133K-183K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Lead technical partner integrations and solutions for merchants and partners (e.g., Shopify, Stripe). Provide technical leadership, respond to partner inquiries, design and document integrations, advise on platform strategy and tooling, manage project plans and long-term initiatives, and support cross-functional commercial and product teams to improve BNPL checkout experiences.
Top Skills: Alerting And Monitoring ToolsEcommerce TechnologiesHTMLJSONRest ApiShopifyStripeWebhooks
2 Days Ago
Easy Apply
Remote or Hybrid
Easy Apply
119K-154K Annually
Senior level
119K-154K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, build, and operate large-scale Spark/PySpark data pipelines and the enterprise data platform. Implement data integrations, transformations (Python/SQL), monitoring, and data quality. Build MCP servers and AI-enabled tooling, optimize performance, mentor engineers, and lead cross-functional data projects to enable analytics and automation.
Top Skills: Ai AgentsAmazon S3Apache IcebergAuroraAWSAws Api GatewayAws CloudwatchAws LambdaAws RdsAws Secrets ManagerAws SnsAws SqsAzureDatabricksDatadogDbtFivetranGCPGoogle BigqueryLlmsMcp (Model Context Protocol)Ms Sql ServerMySQLNetSuiteOraclePostgresPysparkPythonPython-Based Api FrameworksSalesforceSnowflakeSparkSplunkSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account