Senior Full-Stack Engineer - Remote, Data & AI Platform

NEPSE Trading; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Unlimited PTO

Dedicated sick time

Health insurance and vision/dental

401(k) with company match

Relocation assistance

Referral bonuses

Job summary

Spear AI is seeking a Senior Full-Stack Engineer to build the next-generation data management and AI platform for maritime domain awareness. This is a remote, full-time role in the United States, collaborating with cross-functional teams on mission-critical software for national security.

You will own front-end and back-end components, implement real-time data feeds, design data models with Postgres and Iceberg, and optimize CI/CD with GitHub Actions, Docker, and Kubernetes.

Qualifications

• Experience with TypeScript and React/Next.js.
• Strong CSS skills (TailwindCSS).
• Experience with Node.js, GraphQL, REST APIs.
• Proficiency with SQL/PostgreSQL.
• Knowledge of Docker and Kubernetes.

Responsibilities

• Build out application components and pages.
• Implement historical and real-time data feeds using WebGPU.
• Design and develop data models using Postgres and Apache Iceberg.
• Modify real-time data pipelines using MQTT and Redpanda.
• Modify offline data pipelines using Dagster for batch processing.
• Modify and integrate machine learning models or other algorithms into the application.
• Improve local development and CI/CD using modern tooling and GitHub Actions.

Skills

TypeScript

TailwindCSS

React

Next.js

React Context

Node.js

GraphQL

REST APIs

SQL

PostgreSQL

Docker

Kubernetes

Python

Tools

Docker

Kubernetes

Job description

Spear AI is seeking a Senior Full-Stack Engineer to build the next-generation data management and AI platform for maritime domain awareness. This is a remote, full-time role in the United States, collaborating with cross-functional teams on mission-critical software for national security.

You will own front-end and back-end components, implement real-time data feeds, design data models with Postgres and Iceberg, and optimize CI/CD with GitHub Actions, Docker, and Kubernetes.