Job DescriptionACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIREDThe
Mid-Level Software Engineer develops, maintains, and enhances complex, high-performance software systems based on documented requirements. This role encompasses end-to-end software development across demanding domains, including processing-intensive analytics, novel algorithm development, real-time architectures, manipulation of extremely large data sets, and enterprise-grade business management information systems. Operating both independently and in cross-functional engineering teams, the engineer participates directly in systems-level design decisions. Key responsibilities include evaluating hardware/software trade-offs, driving software reuse, assessing Commercial Off-the-Shelf (COTS) and Government Off-the-Shelf (GOTS) integration versus greenfield development, and synthesizing system-level requirements into component-level designs.
The annual base salary range for this role is $149,000-$176,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Required Skills- Language Proficiency:Advanced proficiency in at least two core systems/data languages (e.g., C++, Java, Python, or Go).
- Algorithm & Data Structure Design: Strong foundation in computer science fundamentals, computational complexity, memory management, and algorithm optimization.
- Large-Scale Data Manipulation: Demonstrated experience working with high-volume, high-velocity data pipelines, memory-mapped files, or distributed data frameworks.
- Testing & Quality Assurance: Proven capability writing automated unit tests, integration harnesses, and mocking frameworks; experience generating formal test reports against strict requirements.
Education:
Bachelor's Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, PLUS
7+ years of professional experience in data science, NLP, or software engineering OR
High School Diploma / GED, PLUS
11+ years of specialized technical experience in lieu of a degree.
Desired SkillsCOTS/GOTS Integration: Direct background evaluating, integrating, and configuring COTS and GOTS software components into secure operational baselines.
Real-Time & Embedded Systems: Practical experience with real-time operating systems (RTOS), low-latency network sockets, multi-threaded concurrency, or kernel-space tuning.
Distributed Analytics Engines: Hands-on familiarity with distributed analytics platforms and stream processing frameworks (e.g., Apache Spark, Kafka, Flink, Hadoop).
Containerization & Orchestration: Experience containerizing complex applications using Docker and deploying to orchestrators such as Kubernetes or OpenShift.
