{"schemaVersion":"jobsearcher.job.v1","id":"8a17b48ef01ea00657de1365","url":"https://jobsearcher.com/jobs/8a17b48ef01ea00657de1365","canonicalUrl":"https://jobsearcher.com/jobs/8a17b48ef01ea00657de1365","title":"Senior Software Developer (MLOps)","description":"In a world of possibilities, pursue one with endless opportunities. Imagine Next!\n\nAt Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.\n\nJob Description:\n\nParsons 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.\n\nWhat You'll Be Doing\nAdvanced Software Design & Development\nCreate logical and functional software code in a variety of programming languages to support Drone Armor capabilities\nLead the design and implementation of software components, services, and interfaces based on system and mission requirements\nEnsure solutions are robust, secure, maintainable, and aligned with program architecture and coding standards\nDesign and implement data and model-serving services that integrate machine learning components into operational C-UAS workflows\nMLOps, ML Integration & Lifecycle Management\nCollaborate with data scientists and ML engineers to productionize models, including feature pipelines, inference services, and monitoring\nImplement and maintain end-to-end MLOps workflows, including data ingestion, model training, validation, versioning, deployment, and rollback\nIntegrate ML pipelines into CI/CD processes to enable automated testing, packaging, and deployment of models and ML-enabled services\nEstablish observability for ML systems (data drift, model performance, latency, accuracy) and support continuous model improvement\nEnsure ML systems meet mission-critical requirements for reliability, explainability, security, and compliance in DoD/defense environments\nTechnology Evaluation & Trade-Offs\nUnderstand and articulate the benefits and risks associated with different coding languages and frameworks in various functional environments\nRecommend appropriate languages, tools, and design patterns based on performance, security, maintainability, and integration needs\nEvaluate and recommend ML frameworks, data processing tools, and MLOps platforms (e.g., experiment tracking, model registries, feature stores)\nProvide technical guidance to developers on language and framework selection, coding practices, architectural decisions, and ML/MLOps integration strategies\nTroubleshooting, Debugging & Quality\nReact to software problems quickly and effectively, correcting code and related configurations as necessary\nDebug complex issues across multiple layers (application, service, interface, data) and environments (development, integration, field)\nDiagnose and resolve issues specific to ML systems, including model-serving performance, data quality, and pipeline failures\nSupport and refine unit, integration, system-level, and ML-specific tests (e.g., data validation, model performance checks) to validate functionality and prevent regressions\nLeadership & Collaboration\nServe as a senior technical resource within the development team, mentoring junior and mid-level developers\nCoach team members on best practices for integrating ML components and MLOps into existing software architectures\nCollaborate with systems engineers, test engineers, data scientists, ML engineers, and field personnel to resolve issues and improve system performance\nContribute to technical reviews, design walkthroughs, and continuous improvement of development and MLOps practices\nWhat Required Skills You'll Bring\nEducation\nBachelor’s degree in Computer Science, Electronics Engineering, or other engineering or technical discipline is required with 5 years of experience OR\n8 years of relevant software development experience may be substituted for education\nExperience\nExperience creating logical and functional software code in multiple programming languages\nExperience understanding and clearly articulating the benefits and risks of different coding languages in different functional environments\nExperience reacting to software problems and correcting programs as necessary in complex or mission-critical systems\nExperience deploying, operating, or supporting machine learning models in production environments (MLOps), including monitoring and maintaining ML-enabled services\nTechnical Competencies\nProficiency in one or more modern programming languages (e.g., Python, C++, Java, C#, Go, or similar), with working knowledge of others\nStrong grasp of software engineering best practices, including design patterns, code reviews, version control, and CI/CD workflows\nDemonstrated ability to troubleshoot and resolve complex software defects efficiently\nExperience integrating ML workflows into software systems (e.g., REST/gRPC model services, batch inference, streaming pipelines)\nFamiliarity with MLOps concepts and tools such as:\nCI/CD for ML (e.g., automated training and deployment pipelines)\nModel versioning and registries\nData and model monitoring, including drift and performance tracking\nStrong analytical and communication skills, capable of explaining technical and ML-related trade-offs to both technical and non-technical stakeholders\nSecurity & Citizenship\nMust be a US Citizen\nSECRET security clearance\nWhat Desired Skills You'll Bring\nAdvanced Education & Certifications\nBachelor’s or higher degree in Computer Science, Computer Engineering, or related discipline\nRelevant certifications in software architecture, cloud platforms, DevSecOps, or MLOps/ML engineering\nSpecialized Experience\nExperience supporting DoD, defense, or C-UAS-related software systems\nExperience with distributed, real-time, or high-availability systems\nExperience deploying and managing ML models in constrained, real-time, or edge environments (e.g., forward-deployed, on-platform, or tactical systems)\nAdditional Technical Skills\nExperience with containerization (Docker), orchestration (Kubernetes), and cloud-native development\nExperience with ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, scikit-learn, ONNX, or similar) and associated deployment stacks\nFamiliarity with feature stores, experiment tracking tools, and model registries as part of an MLOps workflow\nFamiliarity with Agile/Scrum methodologies and modern issue tracking/ALM tools\n\nSecurity Clearance Requirement:\n\nAn active Secret security clearance is required for this position.\n\nThis position is part of our Federal Solutions team.\n\nThe 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.\n\nSalary Range: $103,500.00 - $181,100.00\n\nWe 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!\n\nParsons 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.\n\nWe 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!\n\nParsons 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/.\nCOMPETITIVE BENEFIT OFFERINGS\n\nFinancial Wellness\n\nWe care about your financial wellbeing. Parsons offers competitive pay and retirement plans to help you build wealth for the future while giving you the flexibility to diversify your investments.\n\nWork Life Harmony\n\nBalance in life is important and time away from the office is imperative to allow you to refresh and focus your attention on the things that matter to you. Parsons supports your time away by providing paid time off and paid flexible holidays.\n\nCareer Development\n\nWe are committed to fostering the personal and professional growth of our employees. Develop and advance yourself though our comprehensive training, educational and mentorship programs.\n\nVeteran Support\n\nWe provide Industry leading benefits to support veterans and active-duty members to provide security for you and your family by offering robust leave and benefits; including paid active-duty military leave and paid time off when transitioning back to civilian life.\n\nMind & Body\n\nAt Parsons we inspire healthier habits, heathier minds, and a healthier you through our wellness program. Participate in our weekly Meditation Mondays and Wellness Wednesdays. Wellness, at Parsons, is more than just your annual checkup.\n\nHealth\n\nHealth is not a one size fits all. At Parsons, we offer a robust Employee Assistance Program as well as comprehensive medical, dental and vision plans through large, national carriers with the choice of regional PPO, HDHP, or HMO networks.\n\nWant to learn more about the benefits eligible for the Parsons’ location you are interested in?","company":"Parsons","rawCompany":"parsons","city":"Wilton","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-28T08:56:46.688Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Developer (MLOps)","description":"In a world of possibilities, pursue one with endless opportunities. Imagine Next!\n\nAt Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.\n\nJob Description:\n\nParsons 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.\n\nWhat You'll Be Doing\nAdvanced Software Design & Development\nCreate logical and functional software code in a variety of programming languages to support Drone Armor capabilities\nLead the design and implementation of software components, services, and interfaces based on system and mission requirements\nEnsure solutions are robust, secure, maintainable, and aligned with program architecture and coding standards\nDesign and implement data and model-serving services that integrate machine learning components into operational C-UAS workflows\nMLOps, ML Integration & Lifecycle Management\nCollaborate with data scientists and ML engineers to productionize models, including feature pipelines, inference services, and monitoring\nImplement and maintain end-to-end MLOps workflows, including data ingestion, model training, validation, versioning, deployment, and rollback\nIntegrate ML pipelines into CI/CD processes to enable automated testing, packaging, and deployment of models and ML-enabled services\nEstablish observability for ML systems (data drift, model performance, latency, accuracy) and support continuous model improvement\nEnsure ML systems meet mission-critical requirements for reliability, explainability, security, and compliance in DoD/defense environments\nTechnology Evaluation & Trade-Offs\nUnderstand and articulate the benefits and risks associated with different coding languages and frameworks in various functional environments\nRecommend appropriate languages, tools, and design patterns based on performance, security, maintainability, and integration needs\nEvaluate and recommend ML frameworks, data processing tools, and MLOps platforms (e.g., experiment tracking, model registries, feature stores)\nProvide technical guidance to developers on language and framework selection, coding practices, architectural decisions, and ML/MLOps integration strategies\nTroubleshooting, Debugging & Quality\nReact to software problems quickly and effectively, correcting code and related configurations as necessary\nDebug complex issues across multiple layers (application, service, interface, data) and environments (development, integration, field)\nDiagnose and resolve issues specific to ML systems, including model-serving performance, data quality, and pipeline failures\nSupport and refine unit, integration, system-level, and ML-specific tests (e.g., data validation, model performance checks) to validate functionality and prevent regressions\nLeadership & Collaboration\nServe as a senior technical resource within the development team, mentoring junior and mid-level developers\nCoach team members on best practices for integrating ML components and MLOps into existing software architectures\nCollaborate with systems engineers, test engineers, data scientists, ML engineers, and field personnel to resolve issues and improve system performance\nContribute to technical reviews, design walkthroughs, and continuous improvement of development and MLOps practices\nWhat Required Skills You'll Bring\nEducation\nBachelor’s degree in Computer Science, Electronics Engineering, or other engineering or technical discipline is required with 5 years of experience OR\n8 years of relevant software development experience may be substituted for education\nExperience\nExperience creating logical and functional software code in multiple programming languages\nExperience understanding and clearly articulating the benefits and risks of different coding languages in different functional environments\nExperience reacting to software problems and correcting programs as necessary in complex or mission-critical systems\nExperience deploying, operating, or supporting machine learning models in production environments (MLOps), including monitoring and maintaining ML-enabled services\nTechnical Competencies\nProficiency in one or more modern programming languages (e.g., Python, C++, Java, C#, Go, or similar), with working knowledge of others\nStrong grasp of software engineering best practices, including design patterns, code reviews, version control, and CI/CD workflows\nDemonstrated ability to troubleshoot and resolve complex software defects efficiently\nExperience integrating ML workflows into software systems (e.g., REST/gRPC model services, batch inference, streaming pipelines)\nFamiliarity with MLOps concepts and tools such as:\nCI/CD for ML (e.g., automated training and deployment pipelines)\nModel versioning and registries\nData and model monitoring, including drift and performance tracking\nStrong analytical and communication skills, capable of explaining technical and ML-related trade-offs to both technical and non-technical stakeholders\nSecurity & Citizenship\nMust be a US Citizen\nSECRET security clearance\nWhat Desired Skills You'll Bring\nAdvanced Education & Certifications\nBachelor’s or higher degree in Computer Science, Computer Engineering, or related discipline\nRelevant certifications in software architecture, cloud platforms, DevSecOps, or MLOps/ML engineering\nSpecialized Experience\nExperience supporting DoD, defense, or C-UAS-related software systems\nExperience with distributed, real-time, or high-availability systems\nExperience deploying and managing ML models in constrained, real-time, or edge environments (e.g., forward-deployed, on-platform, or tactical systems)\nAdditional Technical Skills\nExperience with containerization (Docker), orchestration (Kubernetes), and cloud-native development\nExperience with ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, scikit-learn, ONNX, or similar) and associated deployment stacks\nFamiliarity with feature stores, experiment tracking tools, and model registries as part of an MLOps workflow\nFamiliarity with Agile/Scrum methodologies and modern issue tracking/ALM tools\n\nSecurity Clearance Requirement:\n\nAn active Secret security clearance is required for this position.\n\nThis position is part of our Federal Solutions team.\n\nThe 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.\n\nSalary Range: $103,500.00 - $181,100.00\n\nWe 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!\n\nParsons 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.\n\nWe 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!\n\nParsons 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/.\nCOMPETITIVE BENEFIT OFFERINGS\n\nFinancial Wellness\n\nWe care about your financial wellbeing. Parsons offers competitive pay and retirement plans to help you build wealth for the future while giving you the flexibility to diversify your investments.\n\nWork Life Harmony\n\nBalance in life is important and time away from the office is imperative to allow you to refresh and focus your attention on the things that matter to you. Parsons supports your time away by providing paid time off and paid flexible holidays.\n\nCareer Development\n\nWe are committed to fostering the personal and professional growth of our employees. Develop and advance yourself though our comprehensive training, educational and mentorship programs.\n\nVeteran Support\n\nWe provide Industry leading benefits to support veterans and active-duty members to provide security for you and your family by offering robust leave and benefits; including paid active-duty military leave and paid time off when transitioning back to civilian life.\n\nMind & Body\n\nAt Parsons we inspire healthier habits, heathier minds, and a healthier you through our wellness program. Participate in our weekly Meditation Mondays and Wellness Wednesdays. Wellness, at Parsons, is more than just your annual checkup.\n\nHealth\n\nHealth is not a one size fits all. At Parsons, we offer a robust Employee Assistance Program as well as comprehensive medical, dental and vision plans through large, national carriers with the choice of regional PPO, HDHP, or HMO networks.\n\nWant to learn more about the benefits eligible for the Parsons’ location you are interested in?","datePosted":"2026-08-28T08:56:46.688Z","dateModified":"2026-08-28T08:56:46.688Z","hiringOrganization":{"@type":"Organization","name":"Parsons","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Wilton","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8a17b48ef01ea00657de1365"},"url":"https://jobsearcher.com/jobs/8a17b48ef01ea00657de1365"}}