Cloud & Geospatial Data Engineer — Mid Level (Hybrid)

CACI International Inc.; Denver (CO); Hybrid; USD 90,300 - 189,600; Full time

Job summary

CACI International Inc. is seeking a Software Engineer to work on cloud and geospatial data solutions in Denver. The role involves building scalable backend services, processing large geospatial datasets, and deploying cloud-native capabilities.

A TS/SCI clearance is required, with a hybrid work schedule and strong Java experience. Ideal candidates will have AWS, Docker, Kubernetes, and Python skills, plus experience with DevOps pipelines and geospatial databases like Postgres.

Qualifications

• Minimum 5+ years as a software engineer or related field.
• 3–5 years of strong Java development skills.
• Demonstrated experience with geospatial data processing and spatial databases like Postgres.
• 3+ years of AWS, Docker, Kubernetes, and Helm or similar.
• Experience with automated deployment pipelines using DevOps tools like GitLab CI/CD, Jenkins, Nexus.
• Willingness to learn current and emerging technologies; hybrid schedule.

Responsibilities

• Collaborate with team to design, build, and maintain scalable backend software solutions.
• Develop and optimize big data pipelines to process massive geospatial datasets.
• Design and deploy AWS cloud-native backend services and capabilities.
• Evaluate and integrate new technologies as requirements evolve.

Skills

Java development

Geospatial data processing

Python programming

DevOps practices

Linux/Red Hat

Education

Bachelor’s degree in engineering, physics, computer science, etc.

Tools

AWS

Docker

Kubernetes

Helm

GitLab CI/CD

Jenkins

Nexus

PostgreSQL

Job description

CACI International Inc. is seeking a Software Engineer to work on cloud and geospatial data solutions in Denver. The role involves building scalable backend services, processing large geospatial datasets, and deploying cloud-native capabilities.

A TS/SCI clearance is required, with a hybrid work schedule and strong Java experience. Ideal candidates will have AWS, Docker, Kubernetes, and Python skills, plus experience with DevOps pipelines and geospatial databases like Postgres.