Senior Engineer

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  "active_status": "active"
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  "location": {
    "raw": "San Francisco Bay Area",
    "city": "San Francisco Bay Area",
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    "country": "United States",
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{
  "lists": [
    {
      "text": "Why This Could Be Your Dream Role",
      "content": "<li>You want to work at a company where customers <i>feel</i> your impact every day</li><li>You'll have autonomy to design and implement innovative technical solutions</li><li>Your work will directly impact thousands of apartment communities and millions of renters</li><li>You'll receive significant equity in a venture-backed company with strong traction</li><li>As we scale, your role and influence will grow with the company</li>"
    },
    {
      "text": "Why You Might Want to Think Twice",
      "content": "<li>This is a demanding role that will often require extended hours and deep commitment</li><li>As a founding team member, you'll need to wear multiple hats and step outside your comfort zone</li><li>You'll need to make thoughtful tradeoffs between innovation and immediate needs</li><li>You'll interact directly with customers to understand their needs and occasionally travel to their offices</li><li>We're a startup - priorities can shift rapidly as we respond to market opportunities and customer needs</li><li>If you're not comfortable getting your hands dirty with legacy code or speaking directly with customers, this isn't the job for you</li>"
    },
    {
      "text": "Responsibilities",
      "content": "<li>Lead critical system rewrites to transform our architecture into a <b>highly scalable, resilient foundation</b></li><li>Own the <b>design and performance optimization of our data storage systems</b>, ensuring they scale with customer and AI demands</li><li>Build and evolve our <b>deployment pipelines</b>, enabling reliable, automated releases for AI-first products</li><li>Set up and manage <b>modern cloud infrastructure from scratch</b>, leveraging Infrastructure as Code (IaC) to ensure consistency, security, and scalability</li><li>Establish engineering best practices, including observability, incident response processes, and system hardening for an AI-first platform</li><li>Drive robust analytics and monitoring to track performance, reliability, and the effectiveness of our AI solutions</li><li>Mentor engineers and elevate the team's capabilities across infrastructure, scalability, and AI product development</li>"
    },
    {
      "text": "Your Experience Looks Like",
      "content": "<li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field</li><li><b>3+ years of experience building production-grade software systems</b>, with a focus on scalability, performance, and reliability</li><li>Proven expertise in backend development with <a rel=\"noopener noreferrer\" class=\"postings-link\" href=\"http://Node.js\"><b>Node.js</b></a>, including API design, system architecture, and cloud-based services</li><li>Experience with <b>cloud infrastructure (AWS, GCP, or similar)</b> and deploying production systems using Infrastructure as Code (e.g., Terraform, Pulumi)</li><li>Hands-on experience with <b>database design, performance tuning, and scaling high-throughput data systems</b></li><li>Familiarity with building and maintaining <b>CI/CD pipelines</b>, automated testing, and modern DevOps practices</li><li>Strong communication skills and ability to work effectively in a distributed, fast-paced environment</li><li>Comfortable operating in early-stage, high-ownership environments with evolving requirements</li><li>Bonus: Experience with <b>React</b> and TypeScript on the frontend, though this role leans backend/infrastructure</li><li>Bonus: Exposure to <b>LLM-based systems, AI infrastructure, or agentic AI workflows </b></li>"
    },
    {
      "text": "Guiding Principles",
      "content": "<li><br></li><div><b>Customer‑First Outcomes</b></div><div>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.</div><div><b>Bias for Simplicity</b></div><div>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.</div><div><b>Quality Is a Gate, Not an After‑Thought</b></div><div>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.</div><div><b>Data‑Driven Choices</b></div><div>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.</div><div><b>Transparency &amp; Written Culture</b></div><div>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.</div>"
    },
    {
      "text": "Other Benefits",
      "content": "<li>Great health insurance, dental, and vision.</li><li>Gym and workspace stipends.</li><li>Computer and workspace enhancements.</li><li>Unlimited PTO.</li><li>Opportunity to play a critical role in building the foundations of the company and Engineering culture.</li>"
    }
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  "country": "US",
  "createdAt": 1754995171513,
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  "categories": {
    "team": "Engineering",
    "location": "San Francisco Bay Area",
    "commitment": "Full-Time",
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