STR · 2 hours ago
Senior Software Engineer
STR is a technology company focused on advanced analytics for national security. They are seeking a Senior Software Engineer to design, develop, and test advanced algorithms and intelligent software systems, providing technical leadership and mentoring throughout the software lifecycle.
Artificial Intelligence (AI)Machine Learning
Responsibilities
Join a distributed, collaborative team working across STR’s Woburn, MA, and Arlington, VA offices to design, develop, and test advanced algorithms and intelligent software systems
Play a key role in providing technical leadership and mentoring, contributing across the software lifecycle from concept to deployed systems
Develop scalable, adaptable tools that support mission planning, multi-agent coordination, intelligent resource allocation, and efficient tasking for complex sensing systems
Qualification
Required
Active (or recent) security clearance, for which U.S. citizenship is needed by U.S. Government
Strong desire for active Top Secret clearance
Bachelor's degree in Computer Science, Engineering, or a related technical field with 7+ years of experience in software development
Proficient in Java and the Spring Cloud Framework for enterprise microservices
Experience with collaborative development using version control systems (e.g., Git)
Experience with cloud-native development, including microservice architecture, RESTful APIs, containerized deployments (Docker), container orchestration (Kubernetes, Helm charts), and modern DevOps practices such as CI/CD pipelines (GitLab)
Strong foundational knowledge of data structures, algorithms, concurrency in distributed systems, and code optimization techniques
Proficient in using the Linux command-line environment for debugging, scripting, and system-level operations
Proven expertise in validating and testing complex, mission-critical systems
Familiarity with Agile software methodologies and team collaboration tools (e.g., JIRA, Confluence)
Preferred
Active Top Secret Clearance
Advanced degree (MS or PhD) in Computer Science or a related technical field
Experience with sensor fusion, geospatial data systems, or distributed sensing frameworks
Experience with predictive modeling, machine learning techniques, and advanced data analysis for autonomous systems
Experience with task/resource allocation, multi-agent coordination, and dynamic planning systems for autonomous platforms
Python fluency for developing robust test and automation pipelines, test frameworks, automation, and RESTful service testing
Proficiency with event-driven architectures or message-based systems (e.g., Kafka)
Knowledge of advanced mathematical methods, such as constraint optimization algorithms or probabilistic reasoning