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:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$90,300 - 189,600 USD
