Software Architect

Oklahoma City, Oklahoma

Long Wave

Description

Responsibilities:

Provide technical leadership for a team of software engineers.
Architect and develop software infrastructure using C to modernize and productionize a research codebase.
Design software systems, applications, and architectures to enhance modularity, scalability, and reliability, while maintaining precision, accuracy, and performance.
Ensure adherence to industry best practices and standards in software engineering.
Apply research and development skills to create real-world products and capabilities beyond academic or theoretical concepts.
Present ideas to internal and external groups, lead proposal activities, and represent the company at technical conferences and working groups.

Requirements

Basic Qualifications:

Bachelor's degree in a STEM discipline with 12+ years of relevant experience; Master's degree with 10+ years of relevant experience; or PhD with 8+ years of relevant experience. An additional 4 years of experience may be considered in lieu of a degree.
Active DoD Secret clearance
Ability to meet customer-specific security screening requirements within a set timeframe.
Willingness and ability to work onsite full-time.
Experience with C programming.
Demonstrated experience with open software/system architecture solutions.
At least 1 year of experience leading tasks to completion on schedule and within budget.
At least 1 year of experience successfully leading teams through the entire development lifecycle.
Proven ability to present complex topics to management and other stakeholders.
Effective communication and interpersonal skills, with the ability to collaborate with diverse stakeholders.
Experience with Git-based or other software configuration management tools.
Discipline to document every requirement's traceability and report any gaps.

Preferred Qualifications:

Active DoD Top-Secret clearance.
Ability to develop and maintain a strategic product roadmap, aligning software engineering best practices with business objectives.
Experience defining technical strategies to modernize and productionize research code.
Experience with model-based system engineering tools (e.g., Cameo).
Experience with containerization technologies (e.g., Docker, Kubernetes).
Experience with Linux operating systems.
Experience in high-performance numerical/scientific computing and parallel computing.
Experience developing for SWaP-constrained environments.
Familiarity with Agile lifecycle processes, including Scrum, Continuous Integration, and DevSecOps.
Familiarity of training data in LRS/LMS solutions.

Date Posted: 19 March 2025