Hybrid: Full-Stack & AI Engineer for Location Intelligence

SS8 Networks, Inc.; United States; Hybrid; USD 110,000 - 135,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Paid time off

Job summary

SS8 Networks, Inc. is seeking a talented Full-Stack Engineer with AI expertise to advance our Intellego XT, Discovery, and LocationWise platforms. You will build end-to-end distributed systems and AI-powered applications that process massive multi-modal investigative data.

You’ll work on cloud-native apps on AWS, create LLM-driven frontends and geospatial dashboards, and design scalable backends with Kubernetes, Kafka, and Redis, while ensuring secure access through OAuth and AD integrations.

Qualifications

• 3–5 years of professional full-stack development on large-scale distributed systems.
• Proficiency with Java, Python and JavaScript/TypeScript.
• Experience with cloud-native platforms (AWS preferred) and Kubernetes in production.

Responsibilities

• Architect and maintain high-performance full-stack applications using React for the frontend and distributed technologies for the backend.
• Design, implement and troubleshoot microservices in Kubernetes-based environments for high availability.
• Develop scalable data pipelines using Kafka, Redis, OpenSearch and diverse databases.
• Operationalize Deep Learning and Generative AI models into production to augment analysts.
• Implement secure OAuth and Active Directory integrations to ensure evidentiary integrity.

Skills

Full-stack

Java

Python

JavaScript/TypeScript

React.js

AWS

Kubernetes

Kafka

Redis

OpenSearch

AI/ML

Deep Learning

Tools

AWS

Kubernetes

Kafka

Redis

OpenSearch

Docker

CI/CD

OAuth

AD integration

Job description

SS8 Networks, Inc. is seeking a talented Full-Stack Engineer with AI expertise to advance our Intellego XT, Discovery, and LocationWise platforms. You will build end-to-end distributed systems and AI-powered applications that process massive multi-modal investigative data.

You’ll work on cloud-native apps on AWS, create LLM-driven frontends and geospatial dashboards, and design scalable backends with Kubernetes, Kafka, and Redis, while ensuring secure access through OAuth and AD integrations.