---
title: 'Staff Engineer (Backend, DevOps, Infrastructure) at Getzuma'
canonical: 'https://feeny.ai/job/staff-engineer-backend-devops-infrastructure-getzuma-san-francisco-xkdp3gf7mvmb'
type: 'job'
last_seen: '2026-09-07'
---

# Staff Engineer (Backend, DevOps, Infrastructure) at Getzuma

- **Company:** Getzuma
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2025-07-03
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/getzuma/800b8d69-b1e0-4524-a0a7-a5cec8b337b5

## Job description

## 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.

As a Staff Engineer, you will: Help define how humans collaborate with intelligent systems in one of the largest and most underserved industries in the world: property management.

You’ll shape the technical foundation of a platform that is not just supporting human workflows, but executing them autonomously through AI agents. This is a rare opportunity to influence how an entire industry evolves, building tools that transform repetitive operational tasks into seamless, intelligent experiences.

Your work will directly contribute to how trust is built between humans and machines, how operations scale without added headcount, and how residents and staff experience a new, AI-powered standard of service.

We’re not just building software we’re designing AI that people want to work with. Delightful, trustworthy, and deeply effective.

Join us to help lead the AI revolution in multifamily, drive meaningful real-world impact, and be part of reimagining what work can feel like when done side-by-side with intelligent agents.

You will be a cornerstone of our engineering organization, reporting to the VPE. This is a pivotal role where you'll lead critical system rewrites, architect scalable foundations for our AI platform, and establish the technical standards that will shape our engineering culture for years to come.

You'll work at the intersection of cutting-edge LLM technology and practical business applications, creating sophisticated systems that power our AI leasing agent while building self-serve experiences that enable rapid customer onboarding. As our first US-based engineer, you'll bridge the gap between our product vision and technical implementation.

This role offers a rare opportunity to directly influence how we architect the next generation of our platform. You'll tackle projects like rebuilding our onboarding/configuration system to be self-serve, creating robust analytics infrastructure to measure AI performance, and reimagining our integration framework to connect seamlessly with customer systems. Your work will significantly reduce manual engineering overhead while enabling rapid scaling of our customer base.

We're looking for a Staff Engineer to help us bring that future to life.

This is not just another dev role. You'll be hands-on shaping the technical DNA of Zuma. You'll architect critical systems, tame legacy code, build net-new AI-powered experiences, and lay down the patterns future engineers will inherit. If you're obsessed with building real products people use, especially products powered by LLMs, this might be your playground.

## Why This Could Be Your Dream Role

- You'll work directly with cutting-edge LLM technology in a real-world application
- You want to work at a company where customers feel your impact every day
- You'll architect AI-powered systems that are transforming the real estate industry
- 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
- 5+ years of experience building production-grade software systems, with a focus on scalability, performance, and reliability
- Proven expertise in backend development with [Node.js](http://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.
- Company off-sites with the team.
- Opportunity to play a critical role in building the foundations of the company and Engineering culture.

## About Getzuma

## Company Overview
- **One-liner**: Zuma builds AI-powered leasing and resident-lifecycle automation for multifamily property management, with its flagship AI receptionist "Kelsey" handling calls, tours, and collections around the clock.
- **Entity Type**: Private (venture-backed; Seed + Series A)
- **Headquarters**: Santa Monica, California, USA (with a San Francisco office)
- **Founded**: 2021
- **Founders**: Shiv Gettu (Co-founder & CEO), Kendrick Bradley (Co-founder & Chief Product Officer)

## Core Business
- **Primary industry**: Proptech / AI software for multifamily real estate operations
- **Target customers**: B2B — property management companies, multifamily operators, and residential real estate teams (clients include Fairfield, AIR Communities, Case & Associates, Raintree Partners, Griffis Residential, and ZRS)
- **Mission**: To automate the mundane tasks in leasing operations so property management teams can focus on building meaningful in-person relationships with residents.

## Products & Services
- **Kelsey (AI Leasing Assistant)**: The core AI agent that handles the full resident lifecycle — answering inquiries on calls, texts, emails, and chat, scheduling tours, sending follow-ups, supporting move-outs, and assisting with rent collection. Built on agentic AI with human-in-the-loop backup to preserve brand voice and accuracy.
- **Collections AI**: Automated rent reminders and follow-ups across multiple channels, customizable workflows, and resident risk-scoring. Zuma reports customers achieving 100% rent collection in the first month and up to 85% workload reduction.
- **Integrations**: Connects natively with property management systems and CRMs including Yardi, CRM IQ, RealPage, Entrata, and Knock.
- **Platform suite (roadmap)**: A growing suite of AI agents to automate routine work across the entire property management lifecycle, extending beyond leasing into move-outs, collections, and operations.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Annual Revenue**: ~$8M (estimated, per aggregated business data; not officially disclosed)
- **Total Funding**: $17.3M across 4 rounds
  - Pre-Seed (Sept 2019): $500K
  - Seed (June 2021): $125K
  - Seed (Nov 2021): $6.7M — 11 investors
  - Series A (March 2024): $10M
- **Notable Investors/Partners**: Andreessen Horowitz, Y Combinator, King River Capital, Range Ventures, Liquid 2 Ventures
- **Growth Signals**: Powers some of the largest property management companies in the U.S.; claims 2.4× higher lead-to-visit conversion and more than double the average number of tours for clients; distributed workforce across 7 countries (US, India, Peru, Mexico, Philippines, Italy, Nigeria). Note: reported headcount of 28 (-8.2% YoY) conflicts slightly with the company's own mid-2025 statement of approximately 30 employees — treat as conflicting reports.

## Competitive Advantages
- **Hybrid AI + human model**: Unlike pure chatbot point solutions, Kelsey combines agentic AI with human-in-the-loop intervention for complex or ambiguous requests — no handoffs that break the conversation.
- **Deep proptech domain DNA**: Founders came from hands-on leasing work and multi-generational real estate backgrounds, giving them operational credibility with property managers.
- **Full-lifecycle coverage**: Leasing, tours, collections, and move-outs in one platform rather than fragmented point solutions.
- **PMS/CRM integration depth**: Built to work with the industry's dominant systems (Yardi, RealPage, Entrata, Knock, CRM IQ), lowering switching friction for operators.

## Strategic Focus
- Expanding beyond leasing into a comprehensive suite of AI agents spanning the entire property management lifecycle (collections, move-outs, resident communications).
- Scaling the "Kelsey" brand as the always-on front desk for multifamily properties.
- Deepening partnerships with large national property management operators and driving collections/NOI protection as a measurable ROI wedge.

## Why Work Here
- **Role flexibility**: Open roles span remote, hybrid, and on-site positions, primarily based in the San Francisco Bay Area (with HQ in Santa Monica).
- **Engineering culture**: Hiring for Staff-level Agentic AI, Data, Backend/DevOps/Infrastructure, and a Principal Product Designer — a small (28–30 person), fast-moving team tackling applied AI in a legacy industry.
- **Career experience**: Team members come from companies like Darktrace, Bird, and VXI Global Solutions; alumni have gone on to Stanford School of Engineering and Zipnip — indicating a talent-dense environment.
- **Compensation perception**: Employee reviews rate Compensation at 4.1/5, Career at 3.9/5, while Culture (3.4/5) and Work-Life (3.6/5) score lower (16 reviews; overall employer rating 3.9/5).
- **Mission-driven work**: Opportunity to apply AI to tangible, high-volume real-world workflows (leasing, rent collection) with measurable outcomes for customers.
- **Note on hiring process**: The company discloses using AI tools to assist with application review and analysis; final hiring decisions are made by humans.

## Sources
1. [getzuma.com](https://www.getzuma.com/)
2. [getzuma.com/about-us](https://www.getzuma.com/about-us)
3. [getzuma.com/faq](https://www.getzuma.com/faq)
4. [jobs.lever.co/getzuma](https://jobs.lever.co/getzuma)
5. [linkedin.com/company/getzuma](https://www.linkedin.com/company/getzuma)

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