Senior Engineer

Remote: yes Posted: 2025-08-12

- 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

- 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.

- 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.