Part time Sr. Software Engineer

Geovisual-Analytics; United States; Remote; USD 88,000 - 132,000; Part time

Benefits offered by this job

Work From Home

Generous Vacation

Flexible Work Hours

Job summary

GeoVisual Analytics is seeking a senior full stack engineer for a 20–30 hour/week contract. This fully remote role pays $85/hour and focuses on AI-enabled analytics for the fresh produce supply chain.

You will design, build, and maintain frontend and backend components, lead end-to-end projects, and integrate with client cloud/AI infrastructure while ensuring secure auth and data governance.

Qualifications

• 5+ years of professional software engineering across frontend and backend.
• Strong TS/Node.js with production services (NestJS or similar).
• Strong React/Next.js frontend experience.
• Python with FastAPI or async framework.
• Experience creating reusable frontend components and AI tooling.

Responsibilities

• Design, build, and maintain frontend and backend of new platforms.
• Lead projects end to end with evolving requirements.
• Build integrations between platforms and client AI infrastructure.
• Translate client workflows into working software.
• Implement authentication, access control, and data governance.
• Ship with testing, CI/CD, and observability practices.
• Iterate on features based on usage and feedback.

Skills

Full stack

TypeScript

Node.js

React

Python

AI tooling

CI/CD

Docker

Independent worker

Startup experience

Tools

Vercel

Fly.io

Render

Cloudflare Workers

Supabase

Firebase

Postgres

Firestore

Docker

GitHub Actions

Job description

Senior Full Stack Engineer (Part-Time Contract, $85/hr)

This is a 20–30 hour/week contract at $85/hour, fully remote.

GeoVisual Analytics builds custom software and analytics solutions for the fresh produce supply chain and the businesses around it. Our focus is AI implementation and modernization: helping an industry that still runs on spreadsheets and phone calls move to modern, data-driven tools. We're looking for a senior full stack engineer to join us on a contract basis, delivering client work and building out our platform.

The engagement

• 20–30 hours per week
• 3–6 month initial contract, with the intent to extend
• $85/hour
• Fully remote, with flexible hours and time zone

What you'll work on

• Designing, building, and maintaining the frontend and backend of new platforms, from feature development through production
• Leading projects end to end, including new features where the requirements aren't fully defined yet
• Building integrations between our platforms and our clients' cloud and AI infrastructure
• Working with business teams to turn real day-to-day workflows into working software
• Implementing secure authentication, access control, and data governance for sensitive business data
• Shipping with strong testing, CI/CD, deployment, and observability practices
• Iterating on features based on real usage and feedback, balancing speed with reliability

Our stack

• Languages: TypeScript, Node.js, Python
• Frontend: Next.js, React, Tailwind CSS, Radix UI
• Backend: NestJS, FastAPI
• Data: Supabase (Postgres), Firebase (Firestore, Cloud Functions), Drizzle ORM, Typesense, dbt
• Maps, 3D, and ML: Mapbox GL, Turf.js, Three.js, GeoPandas, Rasterio, Shapely, PyTorch, Sentinel Hub
• Monorepo: Turborepo, pnpm/Yarn workspaces
• Hosting and infrastructure: Vercel, Fly.io, Render, Modal, Cloudflare Workers, Docker, GitHub Actions
• Operations: Sentry, LaunchDarkly, Resend
• Testing and quality: Vitest, Jest, pytest, ESLint, Prettier, ruff/mypy
• How we work: Linear, Slack, GitHub

You don't need experience with all of these. Equivalent tools count, and the smaller pieces are quick to learn.

Must have

• 5+ years of professional software engineering, with hands-on experience across both frontend and backend
• Strong TypeScript and Node.js, with backend services shipped to production (NestJS or similar)
• Strong React or a similar modern frontend framework (we use Next.js)
• Python, with FastAPI or a comparable async framework
• Experience creating and maintaining reusable frontend components used across products
• Experience building or integrating AI-powered or generative AI tooling
• Familiarity with LLM API integrations
• Experience with SQL and NoSQL data stores
• Experience deploying and operating production services on modern platforms such as Vercel, Fly.io, Render, Cloudflare Workers, or Supabase/Firebase, or on a major cloud provider (AWS, GCP, Azure)
• Hands-on experience with CI/CD pipelines (such as GitHub Actions), automated testing, and containerized deployments with Docker
• Startup or small-company experience
• Ability to work independently with minimal supervision

Nice to have

• Agentic or tool-calling patterns with LLMs
• Data science or analytics experience
• Background in agriculture, food, logistics, or supply chain

• Work From Home
• Generous Vacation
• Flexible Work Hours