Part time Sr. Software Engineer

GeoVisual Analytics

9d•Remote

About The Position

GeoVisual Analytics builds custom software and analytics solutions for the fresh produce supply chain and related businesses, focusing on AI implementation and modernization. The company is seeking a senior full stack engineer on a contract basis to deliver client work and build its platform. The role is fully remote, offers flexible hours and time zone, and is expected to require 20–30 hours per week. The initial contract is 3–6 months, with the intent to extend, at $85 per hour. The engineer will design, build, and maintain frontend and backend systems; lead projects from beginning to end, including work with initially undefined requirements; integrate platforms with clients’ cloud and AI infrastructure; and collaborate with business teams to turn workflows into software. The role also involves implementing secure authentication, access controls, and data governance for sensitive data, and delivering reliable software with testing, CI/CD, deployment, and observability practices. The engineer will refine features using real-world usage and feedback. The technology stack includes TypeScript, Node.js, Python, Next.js, React, Tailwind CSS, Radix UI, NestJS, FastAPI, Supabase/Postgres, Firebase/Firestore and Cloud Functions, Drizzle ORM, Typesense, dbt, mapping and machine-learning tools, monorepo tooling, hosting and infrastructure platforms, Docker, GitHub Actions, monitoring and feature-management tools, and testing and code-quality tools. Experience with every listed tool is not required; equivalent tools count, and the company notes that smaller pieces are quick to learn. Applicants should send a resume and a few sentences describing a project shipped end to end, including what they built and what they would do differently. GitHub or portfolio links are welcome.

Requirements

At least 5 years of professional software engineering experience, with hands-on experience across both frontend and backend.
Strong TypeScript and Node.js skills, including backend services shipped to production using NestJS or a similar framework.
Strong React or similar modern frontend framework experience; the company uses Next.js.
Python experience with FastAPI or a comparable asynchronous 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 platforms such as Vercel, Fly.io, Render, Cloudflare Workers, Supabase, or Firebase, or on a major cloud provider such as AWS, GCP, or Azure.
Hands-on experience with CI/CD pipelines, automated testing, and containerized deployments with Docker.
Startup or small-company experience.
Ability to work independently with minimal supervision.

Nice To Haves

Experience with agentic or tool-calling patterns using LLMs.
Data science or analytics experience.
Background in agriculture, food, logistics, or supply chain.

Responsibilities

Design, build, and maintain frontend and backend systems for new platforms, from feature development through production.
Lead projects end to end, including features with initially unclear requirements.
Build integrations between company platforms and clients’ cloud and AI infrastructure.
Work with business teams to convert day-to-day workflows into working software.
Implement secure authentication, access control, and data governance for sensitive business data.
Ship software using strong testing, CI/CD, deployment, and observability practices.
Iterate on features based on real usage and feedback while balancing speed and reliability.