DRAGONSPELL

platforms—support tens of thousands of users at all levels of the DoD and Intelligence Community and enable critical decision-making for national security missions. We process hundreds of thousands of observations per minute, operating at the scale of global sensor networks and battlefield telemetry. Our backend architecture leverages technologies like Kafka, AWS, NiFi, and GeoMesa—the latter of which we designed and open-sourced—to deliver high-throughput, mission-resilient systems that turn streaming data into real-time intelligence. Why GA-Intelligence? At GA-Intelligence, we're not chasing hype or building throwaway demos—we're solving complex, mission-critical problems that matter. Unlike younger firms chasing the next funding round, we've spent decades earning the trust of our users and delivering systems they rely on every day. And unlike traditional defense contractors, we're nimble, privately held, and able to make long-term decisions in the best interest of our customers and our country—not quarterly earnings reports. Our users love our software. Our customers come back because we deliver. And our engineers stay because they get to work on real problems, with real impact, alongside people who care. If you're looking for a place where engineering excellence meets enduring mission, GA-I3 is where you belong. What You'll Do We are seeking Backend Software Engineers to help build the next generation of global situational awareness and battle orchestration capabilities. You'll collaborate with cross-functional teams—including UI/UX engineers, mission engineers, data scientists, and product owners—to design and deliver software that is performant, scalable, and tailored to complex user needs. Whether you're integrating multi-source data, optimizing backend services, or shaping how insights reach the end user, your work will directly support operational missions that have real-world impact. What We Believe These values weren't crafted in a branding session—they were observed and articulated after 35 years of building software that matters. They reflect how we work, what we value in each other, and the kind of impact we want to have. At GA-Intelligence, they aren't aspirational—they're how we operate. Solving Meaningful Challenges

Building mission-driven technology that makes a difference Collaborative Culture
Working as a team to push boundaries and innovate Technical Excellence
Encouraging continuous learning, curiosity, and efficiency Idea Meritocracy
Valuing ideas based on impact, not hierarchy If these principles resonate with you—not just in theory, but in daily practice—you'll find yourself at home here.

DUTIES AND RESPONSIBILITIES

Software Engineers at GA-I3 are trusted contributors who bring solid engineering experience and judgment to every stage of the software lifecycle. You will design, build, and maintain robust backend systems, while collaborating with others to ensure solutions are effective, maintainable, and aligned with mission goals.

Engineer high-quality software:

Take ownership of features or services from design through deployment, ensuring quality, performance, and maintainability Apply secure coding practices and contribute to system reliability, observability, and compliance with relevant standards Improve and sustain deployed capabilities across customer and cloud environments by addressing evolving operational needs Integrate backend components into larger system architectures and support deployments in cloud and bare-metal environments Conduct and contribute to code reviews to uphold engineering standards and mentor less experienced developers Understand the domain and guide the design Work closely with users, stakeholders, and domain experts to understand requirements and translate them into reliable, maintainable code Lead backend efforts on enterprise Java applications for command and control, geospatial data visualization, and analytics Influence technical decisions during design, planning, and cross-team coordination meetings Document technical decisions and communicate clearly with technical and non-technical stakeholders We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply. Job Qualifications Typically requires a bachelors degree in computer science, information systems or related discipline. May substitute equivalent experience in lieu of education. Must have a general understanding of software development concepts, principles, and theory and demonstrate the ability to apply programming and analysis concepts. Must possess the ability to understand new concepts quickly and apply them accurately throughout an evolving environment while organizing work assignments to meet established timetables. Strong communication, computer, and interpersonal skills are required to enable an effective interface with other professionals, produce appropriate documentation, and present results to an internal audience. The ability to work independently and as part of a team is essential. Experience with a variety of programming languages (Java, Scala, Python, and Golang). Experience with deployment technologies, such as Kubernetes (K8s) for container orchestration. Experience with containerization technology (Docker). Understanding of AWS services and cloud environments. Knowledge of CI/CD pipelines and tooling (Gitlab CI/CD, ArgoCD, CircleCI, Jenkins). Must be able to work extended hours as required. Ability to obtain and maintain DoD security clearance is required.

DESIRED SKILLS AND EXPERIENCE

Experience with technologies such as Kafka, NiFi, AWS, Kubernetes, or Docker Familiarity with secure coding practices and software compliance standards Exposure to geospatial data systems or high-throughput distributed architectures Experience developing backend services and APIs Familiarity with cloud platforms (AWS or Azure) and CI/CD pipelines Experience with containerization and orchestration (e.g., Docker, Kubernetes) Experience working in the DoD or Intelligence Community Job Category Engineering Experience Level Entry-Level (0-2 years) Workstyle Onsite Full-Time/Part-Time Full-Time Salary Pay Range Low 68,770 Pay Range High 116,193 Travel Percentage Required 0%

25% Relocation Assistance Provided?

Yes US Citizenship Required? Yes Clearance Required? 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