Full-Stack Engineer

Full-Stack Engineer Opportunity

Parakeet is the AI-powered risk & compliance platform built for industrial enterprises. Our agent-driven workflows cut third-party verification and risk-management costs by up to 50%, unifying data from devices, vendors, and internal systems into a single source of truth.

We're expanding our core engineering team with a pragmatic full-stack engineer who can ship production-ready features end-to-end. You'll own services across the stack—from REST/GraphQL APIs to responsive front-end components—and help scale a platform processing millions of risk events per day.

• Design, build, and maintain backend services in Node.js (Type Script) and Python
• Model and optimize relational data in PostgreSQL; write efficient, migration-safe SQL
• Integrate and tune QStash/Upstash queues for event-driven workloads and background jobs
• Deploy, secure, and monitor workloads on Cloudflare Workers/Durable Objects, Pages, and R2
• Build modern, testable UI components (React + Type Script) that surface complex compliance data simply
• Collaborate with product, design, and data teams to translate requirements into shippable code
• Write unit, integration, and end-to-end tests; enforce CI/CD and code-review best practices
• Profile, debug, and harden systems for security, performance, and reliability in regulated environments

• 3+ years professional experience building and operating production web services
• Proficiency with Node.js and at least one Python web framework (FastAPI, Flask, Django, etc.)
• Solid grasp of SQL, database schema design, and query optimization on PostgreSQL
• Experience with message queues, pub/sub, or event streams (e.g., QStash, Kafka, RabbitMQ)
• Familiarity with edge-compute or serverless platforms (Cloudflare, AWS Lambda, Vercel, etc.)
• Comfortable with modern front-end frameworks (React a plus) and Type Script
• Track record of shipping features in an agile environment with code reviews and automated testing
• English proficiency at B2 level or higher (CEFR)

• Exposure to compliance, fintech, or industrial IoT data pipelines
• Knowledge of AI/LLM integration patterns or vector search (e.g., pgvector)
• Security-first mindset (OWASP, secure SDLC) and experience with SOC 2 or ISO 27001 controls

• Mission-driven team tackling a multibillion-dollar pain point in risk & compliance
• Green-field engineering challenges at scale—edge compute, real-time analytics, and AI agents
• Competitive salary, meaningful equity, health benefits, and remote-first culture
• Autonomy to shape architecture, processes, and ultimately the direction of the product