Backend Software Engineer - Real-Time Intelligence

General Atomics Intelligence; Charlottesville (VA); On-site; USD 69,000 - 116,000; Full time

Job summary

GA-Intelligence is seeking Backend Software Engineers to help build global situational awareness and battle orchestration capabilities. You will collaborate with UI/UX engineers, data scientists, and product owners to design scalable systems that meet complex user needs.

You’ll develop robust backend services using Java/Scala/Python/Golang, leverage Kubernetes and Docker for deployment, and work with AWS and data platforms to support mission-critical applications.

Qualifications

• Typically requires a bachelor's degree in computer science, information systems or related discipline.
• Must have a general understanding of software development concepts and demonstrate the ability to apply programming and analysis concepts.
• Experience with a variety of programming languages (Java, Scala, Python, and Golang).
• Experience with deployment technologies such as Kubernetes (K8s) for container orchestration and with Docker.

Responsibilities

• Engineer high-quality software from design through deployment with ownership of features or services.
• Apply secure coding practices and improve system reliability, observability, and compliance with standards.
• Lead backend efforts on enterprise Java applications for command and control, geospatial data visualization, and analytics.
• Document technical decisions and communicate clearly with stakeholders.

Skills

Java

Scala

Python

Golang

Kubernetes

Docker

AWS

Education

Bachelor's degree in Computer Science

Tools

Kubernetes

Docker

AWS

Kafka

NiFi

Job description

GA-Intelligence is seeking Backend Software Engineers to help build global situational awareness and battle orchestration capabilities. You will collaborate with UI/UX engineers, data scientists, and product owners to design scalable systems that meet complex user needs.

You’ll develop robust backend services using Java/Scala/Python/Golang, leverage Kubernetes and Docker for deployment, and work with AWS and data platforms to support mission-critical applications.