Title: Staff Engineer (Backend, DevOps, Infrastructure)

Location: Remote

Reporting Structure: Reporting to the VPE

Company Description

Our client is pioneering the future of agentic AI, with a focus on transforming the rental market experience for consumers and property managers alike. Their innovative platform is engineered from the ground up to boost operational efficiency and enhance support capabilities for property management businesses across the US and Canada, a ~$200B market.

Following a Series A raise in early 2024, our client is scaling rapidly. Achieving this vision requires passionate, innovative individuals eager to leverage technology to redefine customer–business interactions. They are seeking exceptional talent ready to contribute to building groundbreaking technology that reshapes how businesses engage with customers.

To date, they have raised over $17M in funding and is backed by world-renowned investors including Andreessen Horowitz (a16z), Y Combinator, King River, Range Ventures, and distinguished angel investors such as YC’s former COO, Qasar Younis.

Our client is seeking a Staff Engineer to shape the technical foundation of their AI platform in the property management industry. This is a hands-on role where you will architect critical systems, work with legacy code, and build new AI powered experiences that set the patterns for future engineers.

You will work directly with cutting edge LLM technology in real world applications, designing solutions that impact thousands of apartment communities and millions of renters. As an early team member, you will have autonomy, significant ownership, and equity in a fast growing, venture backed company.

This role is best suited for someone who thrives in startup environments, is comfortable wearing multiple hats, and is eager to build products that customers use and feel every day.

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

Is this you?

• 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, 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

Preferred Qualifications

• Experience with React and TypeScript on the frontend, though this role leans backend/infrastructure

• Exposure to LLM-based systems, AI infrastructure, or agentic AI workflows

#Perks

• Comprehensive health, dental, and vision insurance
• Gym and workspace stipends
• Computer and workspace enhancements
• Unlimited PTO
• Company off-sites with the team