The Role
Design, implement, and maintain software and MLOps capabilities for a counter-UAS program. Lead development of services, integrate and productionize ML models, implement end-to-end MLOps pipelines (training, versioning, deployment, monitoring), debug mission-critical systems, and mentor teammates while ensuring security, reliability, and compliance for DoD/defense environments.
Summary Generated by Built In
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Job Description:
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 DoingAdvanced 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
- Collaborate with data scientists and ML engineers to productionize 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
- 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
- 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
- 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
- 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 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
- 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 practices, including design patterns, code reviews, version control, and CI/CD workflows
- Demonstrated ability to troubleshoot and resolve complex software defects efficiently
- Experience integrating ML workflows into software systems (e.g., REST/gRPC model services, batch inference, streaming pipelines)
- Familiarity with MLOps concepts and tools such as:
- CI/CD for ML (e.g., automated training and deployment pipelines)
- Model versioning and registries
- Data and model monitoring, including drift and performance tracking
- Strong analytical and communication skills, capable of explaining technical and ML-related trade-offs to both technical and non-technical stakeholders
- Must be a US Citizen
- SECRET security clearance
- Bachelor’s or higher degree in Computer Science, Computer Engineering, or related discipline
- Relevant certifications in software architecture, cloud platforms, DevSecOps, or MLOps/ML engineering
- Experience supporting DoD, defense, or C-UAS-related software systems
- Experience with distributed, real-time, or high-availability systems
- Experience deploying and managing ML models in constrained, real-time, or edge environments (e.g., forward-deployed, on-platform, or tactical systems)
- Experience with containerization (Docker), orchestration (Kubernetes), and cloud-native development
- Experience with ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, scikit-learn, ONNX, or similar) and associated deployment stacks
- Familiarity with feature stores, experiment tracking tools, and model registries as part of an MLOps workflow
- Familiarity with Agile/Scrum methodologies and modern issue tracking/ALM tools
Security Clearance Requirement:
An active Secret security clearance is required for this position.This position is part of our Federal Solutions team.The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now.Salary Range: $103,500.00 - $181,100.00We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY!Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.
Skills Required
- Bachelor's degree in Computer Science, Electronics Engineering, or related engineering discipline with 5 years' experience OR 8 years relevant software development experience
- Experience creating software code in multiple programming languages
- Proficiency in one or more modern programming languages (Python, C++, Java, C#, Go or similar)
- Experience deploying, operating, or supporting machine learning models in production (MLOps) including monitoring and maintaining ML-enabled services
- Experience integrating ML workflows into software systems (e.g., REST/gRPC model services, batch/streaming inference)
- Strong grasp of software engineering best practices (design patterns, code reviews, version control, CI/CD)
- Ability to rapidly diagnose and correct complex software issues in mission-critical systems
- Familiarity with MLOps concepts and tools: CI/CD for ML, model versioning/registries, data and model monitoring/drift tracking
- Strong analytical and communication skills to explain technical and ML trade-offs
- Must be a US Citizen
- Active Secret security clearance required
- Experience understanding and articulating benefits/risks of different coding languages and frameworks
- Experience reacting to software problems and correcting programs in complex or mission-critical environments
- Experience with containerization and orchestration (Docker, Kubernetes)
- Experience with ML frameworks and deployment stacks (TensorFlow, PyTorch, scikit-learn, ONNX or similar)
- Experience supporting DoD, defense, or C-UAS-related software systems
- Experience with distributed, real-time, or high-availability systems and edge/tactical ML deployments
- Advanced degrees or certifications in software architecture, cloud platforms, DevSecOps, or MLOps/ML engineering
- Familiarity with feature stores, experiment tracking tools, and model registries
- Familiarity with Agile/Scrum methodologies and modern ALM/issue tracking tools
Parsons Corporation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Parsons Corporation and has not been reviewed or approved by Parsons Corporation.
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Retirement Support — Retirement programs are framed as a major value driver, with an ESOP alongside a 401(k) match and additional stock-purchase options contributing meaningfully to total rewards. This structure is positioned as especially attractive for employees who value long-term wealth-building over immediate cash.
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Healthcare Strength — Health coverage is described as broad and choice-rich, with multiple plan types (PPO, HDHP, and some HMO networks) plus dental, vision, EAP, and wellness resources. The availability of different plan designs and national-carrier coverage supports varied employee needs.
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Leave & Time Off Breadth — Time-off offerings are portrayed as competitive, including PTO, holidays, flexible schedules such as a 9/80 option for eligible roles, and floating holidays in the U.S. Paid parental leave of 160 hours is also highlighted as a meaningful component of the overall package.
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The Company
What We Do
Parsons is a digitally enabled solutions provider with a focus on making the world safer, smarter, healthier, more sustainable, and more connected. Founded in 1944, Parsons primarily serves the defense, security, and infrastructure markets. Uniquely qualified to deliver cyber/converged security, technology-based intellectual property, and other innovative services, the corporation delivers state-of-the-art solutions to federal, regional, and local government agencies as well as to private industrial customers worldwide. Parsons has a reputation for inclusion and diversity and has been named to the Ethisphere Institute’s list of World’s Most Ethical Companies for 10 consecutive years. Parsons facilitates a culture of innovation by encouraging collaboration among its employees and providing opportunities for career growth. With offices around the globe, people of varied talents and backgrounds, and a wide range of exciting projects, the possibilities at Parsons are endless. For more about Parsons, visit www.parsons.com. Mission: Delivering innovative infrastructure, defense, and security solutions to enable a more sustainable, safer, smarter, and more connected world.
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