Software Engineer - Cloud and Geospatial Data - Mid- Level

CACI

United States

Hybrid

USD 90,000 - 190,000

Full time

14 days+
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Job summary

CACI seeks a Software Engineer - Cloud and Geospatial Data (Mid-Level) to join the FADE team in Denver, CO. The role spans building scalable cloud services and processing large geospatial datasets, switching between core software development and data engineering, and contributing ideas shaping mission-critical capabilities.

You’ll design and implement new features, resolve issues, and help maintain system health across backend services, with a focus on performance, reliability, and evolving

Qualifications

  • Active TS/SCI clearance
  • Bachelor’s degree in engineering, physics, computer science or related field
  • 5+ years of experience as a software engineer or related role
  • 3-5 years of Java development experience
  • Demonstrated experience with geospatial data processing and Postgres
  • 3+ years with AWS, Docker, Kubernetes, and Helm (or similar)
  • Experience with automated deployment pipelines (GitLab CI/CD, Jenkins, Nexus)
  • Willing to work a 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 program requirements evolve
  • Investigate and resolve operational issues, bottlenecks, and production bugs
  • Participate in planning, design, and code reviews to maintain high engineering standards
  • Ensure high performance, reliability, and resiliency across all backend services

Skills

Java
Geospatial data processing
Big data pipelines
Cloud services design

Education

Bachelor’s degree in engineering, physics, computer science

Tools

AWS
Docker
Kubernetes
Helm
PostgreSQL
GitLab CI/CD
Jenkins
Nexus

Job description

Job Title: Software Engineer - Cloud and Geospatial Data - Mid- LevelJob Category: EngineeringTime Type: Full timeMinimum Clearance Required to Start: TS/SCIEmployee Type: RegularPercentage of Travel Required: NoneType of Travel: NoneAnticipated Posting End: 9/28/2026

The Opportunity:

CACI is seeking a Software Engineer - Cloud and Geospatial Data to join our Fusion Analysis & Development Effort (FADE) team at our Denver, CO location. We are seeking a versatile software engineer to work on a complex and ever-changing system with a fast-growing user base. You will have the opportunity to solve evolving technical challenges ranging from building scalable cloud services to processing large-scale geospatial datasets. If you thrive shifting between core software development and specialized data engineering at scale, this may be the program for you. Your day-to-day activities will include designing and implementing new capabilities, resolving operational issues, and contributing ideas that will help shape the direction of mission supporting capabilities.

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 quickly as program requirements evolve

  • Investigate and resolve operational issues, system bottlenecks, and production bugs to maintain optimal system health

  • Participate in planning, design, and code reviews to maintain high engineering standards and code quality

  • Ensure high performance, reliability, and resiliency across all backend services

Qualifications:
Required:
  • Current and active TS/SCI clearance
  • Bachelor’s degree in engineering, physics, computer science, etc.
  • 5 or more years of experience working as a software engineer or in a related field
  • 3-5 years or more of strong Java development skills
  • Demonstrated experience with geospatial data processing and spatial databases like Postgres
  • 3 or more years of AWS, Docker, Kubernetes, and Helm or similar
  • Skill with automated deployment pipelines using DevOps tools like GitLab CI/CD, Jenkins, Nexus or similar platforms
  • The attitude, aptitude, and willingness to learn current and emerging technologies
  • Willing to work a hybrid schedule
Desired:
  • Experience with big data frameworks like Apache Flink, Apache Spark, and Apache Iceberg
  • Linux/Red Hat knowledge
  • Python programming experience
  • Strong analytical and critical thinking skills
  • Strong communication and collaboration skills
  • The ability to effectively prioritize and execute tasks
  • Self-motivated and the ability to work independently
What You Can Expect:

A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Pay Range

The proposed salary range for this position is:

$90,300 - 189,600 USD

At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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