Geoxanalytics

We are looking for a Senior Python Data Engineer to design and operate large-scale data pipelines that generate property attributes from imagery using our internal AI models.

This role focuses on building distributed processing systems running on Kubernetes clusters and on-prem GPU infrastructure, capable of processing massive geospatial datasets at national scale.

You will work closely with AI engineers and SaaS platform teams to build robust pipelines that transform imagery into structured property intelligence used by the insurance and financial industries.

Responsibilities

• Design and build large-scale Python processing pipelines for satellite and street-level imagery

• Develop distributed workloads running on Kubernetes clusters

• Build and maintain orchestration workflows using Airflow

• Design and manage data storage and processing workflows using PostgreSQL

• Integrate large-scale AI inference pipelines running on GPU infrastructure

• Optimize processing performance for massive imagery datasets

• Improve observability, monitoring, and reliability of production pipelines

• Collaborate with AI engineers to support large-scale computer vision inference workflows

• Integrate pipelines with AWS-based services

Requirements

• 7+ years of Python engineering experience

• Strong experience designing distributed data pipelines or large-scale data processing systems

• Experience running workloads on Kubernetes

• Hands-on experience with Airflow or similar orchestration frameworks

• Experience processing large datasets (imagery, geospatial, or other high-volume data)

• Strong understanding of ETL architectures and distributed data systems

Nice to Have

• Experience working with satellite imagery, aerial imagery, or remote sensing datasets

• Experience with GPU-based inference pipelines

• Experience working with on-prem compute clusters

• Experience with C#

Junior JavaScript / NestJS Developer

Junior JavaScript Developer with experience in backend development using NestJS and Node.js. Skilled in building and maintaining REST APIs, implementing server-side logic, working with databases, and supporting existing applications. Familiar with JavaScript, NestJS, Git, and basic software development principles, including clean code practices and debugging.

Worked with API integrations, database queries, authentication flows, and application performance improvements. Comfortable collaborating in team environments, following technical requirements, and learning new tools and frameworks quickly.

Looking for an opportunity to contribute to a product-focused team, grow as a backend developer, and deepen expertise in JavaScript ecosystem and scalable backend development.

Senior Fullstack Engineer – React, NestJS, AWS

We're a growing tech startup building a customer-facing web platform and an internal AI model training platform. We're looking for a Senior Fullstack Engineer to join our engineering team and take real ownership of core systems.

This is a role for engineers — people who understand code deeply, think about architecture, and solve problems independently. Not someone who completes tasks, but someone who thinks about why they exist.

Responsibilities:

• Develop and maintain the full-stack platform (React frontend, NestJS backend, AWS infrastructure)

• Design and implement scalable backend services and APIs

• Work with Postgres RDS — design, optimize, and maintain relational data models

• Build and maintain event-driven services using SQS and microservices architecture

• Write unit and e2e tests (Vitest + Cypress) and maintain CI/CD pipelines (GitHub Actions)

• Write clean, modular code following SOLID principles

• Collaborate directly with Product to translate requirements into technical solutions

Requirements:

• Senior-level experience with React, NestJS, and TypeScript (frontend + backend)

• Hands-on experience with AWS (Lambda, EC2) and Docker

• Strong understanding of relational databases and Postgres

• Experience with microservices, event-driven architecture, and SQS

• Solid Git workflow and experience working in a team codebase

• Ability to read, understand, and improve unfamiliar code independently

• Clean code standards — SOLID, well-structured, maintainable

What We Value Most:

Independent thinking. We want engineers who trace problems to their root, understand the full flow of a system, and bring solutions — not just questions. If you read code before you Google, you'll fit right in.