Full-stack Engineer

Ocra•Chicago, IL

9d•Remote

About The Position

Ocra is an AI-powered Revenue Management System (RMS) and Global Distribution System (GDS) built for parking assets. Parking owners and operators use Ocra to sell underutilized parking inventory through “parking OTAs” to prepaid reservation customers looking to park near airports, event venues and high-demand transient locations. Ocra's team of parking revenue management experts drives revenue growth without adding labor or disrupting operations, helping assets increase net operating income (NOI). Ocra partners with 50+ parking operators and 25+ hotel groups at over 600+ locations. The company has raised $10M, most recently an oversubscribed $5M round co-led by Trestle Partners and MCR Hotels. We’re looking for a mid-level full-stack engineer who is energized by working in a small, distributed team where autonomy, curiosity, and adaptability matter more than rigid processes (but we do work on our processes and ensuring it’s not total chaos).

Requirements

Python (primary), JavaScript/TypeScript (secondary).
Postgres, Redis, and DynamoDB experience, including query optimization.
Familiarity with unit testing, integration testing, and modern testing tools.
Hands-on experience with AWS (deployment, monitoring).
Building and consuming APIs; able to reverse engineer poorly documented systems.
Comfortable in a distributed, text-first communication environment (Slack, GitHub, Notion, Linear, Google Docs).

Nice To Haves

Vue experience in building user interfaces and front-end experiences
Experience in parking, mobility, or adjacent industries (hotel, airline, shipping, storage, etc.).
Background in pricing optimization, revenue management, or omni-channel distribution systems.
Familiarity with serverless architectures and event-driven systems.
Interest or hands-on experience with AI development (LLMs, agents, or workflow automation).

Responsibilities

Design, build, and maintain full-stack features across our SaaS platform.
Develop and optimize APIs (client & server side), including working with messy or poorly documented partner integrations.
Write clean, well-tested, and well-documented code (unit and integration testing).
Collaborate with teammates on architecture, design reviews, and code reviews.
Contribute to shared resources like onboarding guides, runbooks, and documentation.
Identify and resolve performance issues, especially around SQL queries and scaling workloads in AWS.
Experiment with AI tools and approaches — both to accelerate development and to inform our proprietary AI-enabled product.