Platform Engineer (Remote)

PermitFlow is redefining how America builds. We’re an applied AI company serving the nation’s builders, tackling one of the largest information challenges in the economy: understanding what can be built, where, and how. Our AI agent workforce helps the fastest-growing construction companies navigate everything from permitting and licensing to inspections and project closeouts – accelerating housing, clean-energy, and infrastructure development across the country.

Despite being a $1.6T industry, construction still suffers from massive delays, wasted capital, and lost opportunity. PermitFlow has already delivered unprecedented speed, accuracy, and visibility to over $20B in development, helping contractors reduce compliance time, de-risk projects, and scale with confidence.

As the U.S. enters a new capex supercycle across data centers, factories, housing, and renewables, joining PermitFlow means building the AI infrastructure at the core of every construction project driving the next wave of reindustrialization.

We’ve raised over $90M, most recently completing our Series B, from top-tier investors including Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, with backing from leaders at OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.

As a Platform Engineer, you’ll join our growing infrastructure team in building, scaling, and fine-tuning the systems that keep our services running smoothly. You’ll help architect the backbone of our platform, focusing on automation, reliability, and continuous improvement. While your primary responsibility will be infrastructure, coding and problem-solving across the stack are core parts of the role. As a fast-growing startup, we all roll up our sleeves where needed, so flexibility and a collaborative spirit are key.

• Architect, design, and implement secure, scalable, and cost-efficient infrastructure solutions to support a rapidly growing product.

• Design and implement backend and frontend services, APIs, and data pipelines to support AI-driven workflows.

• Own features end-to-end, from architecture and implementation to testing and production deployment.

• Develop and maintain automation through Infrastructure as Code and CI/CD pipelines.

• Monitor, optimize, and scale our cloud infrastructure for performance and reliability.

• Establish and enforce best practices for observability, logging, and alerting.

• Lead and participate in incident response, troubleshooting complex issues and driving postmortem learning and improvements.

• Collaborate across engineering teams to improve developer velocity while balancing reliability, security, and cost.

• 5+ years of experience in Platform, Site Reliability, Infrastructure, or similar roles.

• Strong experience with containerization and orchestration (Docker, ECS, Kubernetes a plus).

• Expertise with CI/CD pipelines and modern infrastructure automation tools.

• Coding and scripting proficiency (Python, Go, Bash, etc.).

• Hands-on experience with cloud infrastructure (GCP preferred) and distributed systems.

• Familiarity with monitoring, observability, and incident management best practices.

• Comfortable working in a fast-paced startup environment, where adaptability and ownership are essential.

• Competitive salary and meaningful equity in a high-growth company

• Comprehensive medical, dental, and vision coverage

• Flexible PTO and paid family leave

• Home office & equipment stipend

• Hybrid NYC office culture (3 days in-office/week) with direct access to leadership

• In-Office Lunch & Dinner Provided

PermitFlow provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, gender expression, or family status, as protected by applicable law.

We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. All employment decisions are based on merit, qualifications, and business needs.