Software Engineer - Cloud and Geospatial Data - Mid- Level

CACI InternationalDenver, CO
$90,300 - $189,600Hybrid

About The Position

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.

Requirements

  • 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

Nice To Haves

  • 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

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

Benefits

  • flexible time off benefit
  • robust learning resources
  • comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits
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