Senior Backend Software Engineer, Mission AnalyticsIn this role, you will join the team responsible for developing the backend services and processing capabilities.
You will work on high-complexity systems that capture, process, and prepare data for presentation through user interfaces. The work spans backend Java development, API design, distributed systems, analytics, prototyping, and systems integration, giving you the opportunity to influence both how the software is built and how data moves through the larger mission environment.
What Makes This Opportunity Stand OutThis role is ideal for a senior Java engineer who likes solving hard backend problems without adding unnecessary complexity. You will have room to make architectural decisions, define service boundaries, and build purpose-fit solutions that scale while staying maintainable.
The DIGS team operates at the intersection of software engineering, analytics, data processing, and user-facing mission capabilities. You will help evaluate changes to existing systems, prototype new analytic capabilities, and build backend services that allow UI teams to present mission data in new and useful ways.
At Intelliforce, your work is visible and your technical judgment matters. Because we support prime programs, our engineers stay close to the mission and the people using what they build. Because we are a small business, leadership is accessible, communication is direct, and strong engineering gets noticed. Add in long-term stability, strong benefits, and a people-first culture, and this is an opportunity to do senior-level engineering work without getting buried under layers of process.
Here's What Your Day-to-Day Could Include- Design, develop, and maintain backend systems using Java
- Build RESTful APIs and backend services supporting DIGS capabilities
- Make architectural decisions around service design, frameworks, and system boundaries
- Evaluate when frameworks such as Spring and Spring Boot add value and when a lighter solution is the better fit
- Develop scalable, maintainable software for high-complexity mission environments
- Work with relational databases, schema design, ORM frameworks, and NoSQL data stores
- Capture, triage, and evaluate changes to existing DIGS systems
- Prototype new data-processing and analytic capabilities for DIGS development teams
- Develop capabilities that process mission data for presentation through DIGS user interfaces
- Debug complex software issues and improve existing services
- Participate in code reviews and maintain strong engineering and quality standards
- Collaborate with software engineers, systems engineers, DevOps engineers, and other technical disciplines
- Support broader systems engineering, prototyping, and software development efforts across AEA as needed
Minimum Qualifications- Clearance: Top Secret Clearance with Polygraph, must be active. We do not have the ability to sponsor clearances
- Citizenship: Must be a U.S. Citizen. We cannot sponsor visas
- 14 years of Software Engineering experience on programs and contracts of similar scope, type, and complexity
- Bachelor's degree in Computer Science or a related discipline from an accredited college or university
- Four additional years of Software Engineering experience on projects with similar software processes may be substituted for the bachelor's degree
- 7+ years of professional experience developing backend systems in Java
- Three years of demonstrated cloud experience supporting distributed scalable data technologies and related processing environments
Required Skills- Strong proficiency with Java and core JVM concepts
- Experience building RESTful APIs and backend services
- Practical experience with Spring and Spring Boot, including the ability to determine when those frameworks are appropriate for the solution
- Experience with Object-Relational Mapping frameworks such as Hibernate
- Strong understanding of relational databases and schema design
- Experience designing and implementing scalable, maintainable software systems
- Experience with Git and modern version-control workflows
- Experience working in Linux and Unix environments such as RHEL
- Strong debugging and problem-solving skills
- Ability to adapt to changing project requirements
- Experience participating in code reviews and maintaining strong code-quality standards
- Experience working in Agile development environments
- Strong communication and cross-functional collaboration skills
- Experience with distributed scalable NoSQL or Big Data stores
- Experience with MapReduce programming models and related technologies
- Experience with Hadoop Distributed File System, HDFS
- Experience with serialization formats such as JSON or BSON
Desired Skills- Experience making architectural decisions and guiding technical direction for backend systems
- Ability to build lightweight, purpose-fit solutions rather than defaulting to unnecessary framework complexity
- Experience designing APIs and service boundaries in distributed systems
- Experience with Atlassian, GitLab, or similar CI/CD tool suites
- Experience with automated testing, Test Driven Development, or similar quality-driven practices
- Experience with MongoDB, Elasticsearch, or other document and NoSQL data stores
- Frontend exposure to React, Angular, or similar frameworks
- Experience working on fast-paced, high-complexity client solutions
- DevOps or related platform engineering experience
- Familiarity with AWS environments
- Experience with Terraform, Ansible, or other infrastructure automation tools
- Hands-on experience with Docker and Kubernetes
- Scripting experience with Python, Bash, or PowerShell
- Interest in growing technically and taking on increasing responsibility over time
Compensation Range: $176,000.00 - $226,000.00
This salary range reflects our current market estimate for the role. Final compensation will depend on your experience, technical background, overall qualifications, and alignment with the position. We evaluate each candidate thoughtfully, so offers are shaped around the value you bring to the team 
