Senior Software Developer; MLOps

Position: Senior Software Developer (MLOps)
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* Job Description:

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* Parsons is seeking a Senior Software Developer to support our cutting-edge Drone Armor counter-unmanned aerial systems (C-UAS) program. The Senior Developer will design and implement logical, functional software code across multiple programming languages, make informed technology choices for different environments, rapidly diagnose and correct complex software issues in mission-critical systems, and help design, deploy, and operate machine learning capabilities using modern MLOps practices.

** What You'll Be Doing*
* ** Advanced Software Design & Development*
* + Create logical and functional software code in a variety of programming languages to support Drone Armor capabilities

+ Lead the design and implementation of software components, services, and interfaces based on system and mission requirements

+ Ensure solutions are robust, secure, maintainable, and aligned with program architecture and coding standards

+ Design and implement data and model-serving services that integrate machine learning components into operational C-UAS workflows

** MLOps, ML Integration & Lifecycle Management*
* + Collaborate with data scientists and ML engineers to product ionize models, including feature pipelines, inference services, and monitoring

+ Implement and maintain end-to-end MLOps workflows, including data ingestion, model training, validation, versioning, deployment, and rollback

+ Integrate ML pipelines into CI/CD processes to enable automated testing, packaging, and deployment of models and ML-enabled services

+ Establish observability for ML systems (data drift, model performance, latency, accuracy) and support continuous model improvement

+ Ensure ML systems meet mission-critical requirements for reliability, explainability, security, and compliance in DoD/defense environments

** Technology Evaluation & Trade-Offs*
* + Understand and articulate the benefits and risks associated with different coding languages and frameworks in various functional environments

+ Recommend appropriate languages, tools, and design patterns based on performance, security, maintainability, and integration needs

+ Evaluate and recommend ML frameworks, data processing tools, and MLOps platforms (e.g., experiment tracking, model registries, feature stores)

+ Provide technical guidance to developers on language and framework selection, coding practices, architectural decisions, and ML/MLOps integration strategies

** Troubleshooting, Debugging & Quality*
* + React to software problems quickly and effectively, correcting code and related configurations as necessary

+ Debug complex issues across multiple layers (application, service, interface, data) and environments (development, integration, field)

+ Diagnose and resolve issues specific to ML systems, including model-serving performance, data quality, and pipeline failures

+ Support and refine unit, integration, system-level, and ML-specific tests (e.g., data validation, model performance checks) to validate functionality and prevent regressions

** Leadership & Collaboration*
* + Serve as a senior technical resource within the development team, mentoring junior and mid-level developers

+ Coach team members on best practices for integrating ML components and MLOps into existing software architectures

+ Collaborate with systems engineers, test engineers, data scientists, ML engineers, and field personnel to resolve issues and improve system performance

+ Contribute to technical reviews, design walkthroughs, and continuous improvement of development and MLOps practices

** What Required Skills You'll Bring*
* ** Education*
* + Bachelor's degree in Computer Science, Electronics Engineering, or other engineering or technical discipline is required with 5 years of experience
** OR*
* + 8 years of relevant software development experience may be substituted for education

** Experience*
* + Experience creating logical and functional software code in multiple programming languages

+ Experience understanding and clearly articulating the benefits and risks of different coding languages in different functional environments

+ Experience reacting to software problems and correcting programs as necessary in complex or mission-critical systems

+ Experience deploying, operating, or supporting machine learning models in production environments (MLOps), including monitoring and maintaining ML-enabled services

** Technical Competencies*
* + Proficiency in one or more modern programming languages (e.g., Python, C++, Java, C#, Go, or similar), with working knowledge of others

+ Strong grasp of software engineering best…