Location: Columbia, MD
Clearance Required: Active TS/SCI with Polygraph (must be within 7 years)
Telework: Up to 16 hours per week (task‑dependent)
About the Role
We’re looking are a Sr. Software Engineer (SE) to support the full lifecycle of systems engineering activities across complex, mission‑critical programs. This role requires strong analytical skills, the ability to translate requirements into actionable engineering artifacts, and the discipline to work within structured engineering processes and cross‑functional teams.
What You’ll Work On
Design, implement software using Grafana, JavaScript, Bash or Python application
Familiarity with message queue implementation and communication protocols.
Knowledge of Linux system programming and development environments.
Analyze user requirements to derive software design and performance requirements
Integrate existing software into new or modified systems or operating environments
Develop simple data queries for existing or proposed databases or data repositories
Write or review software and system documentation
Serve as team leader at the level appropriate to the software development process being used on any project
Design or implement complex database or data repository interfaces/queries
Develop or implement algorithms to meet or exceed system performance and functional standards
Assist with developing and executing test procedures for software components
Develop software solutions by analyzing system performance standards, confer with users or system engineers; analyze systems flow, data usage and work processes; and investigate problem areas
Modify existing software to correct errors, to adapt to new hardware, or to improve its performance
models to predict and measure outcome and consequences of design
Design or implement complex algorithms requiring adherence to strict timing, system resource, or interface constraints
Coordinate software system installation and monitor equipment functioning to ensure operational specifications are met
Manage and configure Kubernetes clusters, ensuring high availability, scalability, and security
Identify, debug, and correct defects in existing software, utilizing effective troubleshooting techniques to resolve issues efficiently.
Configure and optimize GPU resources for performance-critical applications, utilizing CUDA or other relevant technologies.
Maintain comprehensive documentation for software designs, processes, and interfaces to facilitate knowledge sharing and project continuity.
Qualifications: