Quick Position Facts! Location: Virginia Beach, Virginia at our G2 Ops office. Work Setting: In-Office with Hybrid or Flexible Schedule Available Based on Program Requirements Salary Range: $140,000 - $165,000 plus comprehensive benefits package. Years of Industry Experience: 10 + years of relevant experience. Security Clearance Requirement: Active DoD Secret clearance required at start, with the ability to obtain and maintain a DoD Top Secret clearance after starting. About the Role. As a Principal Software Engineer , you'll shape the technical direction of software capabilities supporting the AEGIS portfolio and Department of Defense missions. You'll serve as the senior software engineering lead across a portfolio of cybersecurity and digital engineering applications, with primary responsibility for the continued development and evolution of the SOFIA Cyber Analytics Platform and technical oversight of MONARCH, SMART, and related capabilities. This is a hands-on technical leadership role for an experienced software engineer who enjoys solving complex problems, setting technical direction, and mentoring other engineers. You'll work closely with software, cybersecurity, and systems engineers, program leadership, and customers to turn complex mission needs into secure, scalable, and maintainable software solutions. What You'll Do Lead the technical direction of SOFIA, MONARCH, SMART, and related software capabilities supporting the AEGIS portfolio. Own software architecture and guide the design, development, integration, deployment, and continued evolution of mission-focused applications. Provide hands-on technical leadership to the SOFIA development team, guiding technical planning, development priorities, design decisions, code quality, and engineering execution. Establish and promote software engineering standards and best practices across front-end and back-end development, APIs, databases, analytics, cloud integration, and plugin development. Translate user and mission needs into software architectures, technical requirements, development priorities, and executable solutions. Guide development of capabilities supporting cyber analytics, vulnerability and reachability analysis, mission impact assessment, data visualization, digital engineering, and decision support. Review software designs and source code, troubleshoot complex technical challenges, and mentor engineers through architecture reviews, code reviews, and technical planning. Advance modern development practices, including Agile, DevOps/DevSecOps, CI/CD, automated testing, configuration management, and secure software development. Evaluate emerging technologies, including AI, advanced analytics, cloud services, and modern software frameworks, and apply them where they provide meaningful value. Collaborate across engineering disciplines and with program leadership and customer stakeholders to support technical demonstrations, customer engagements, technical planning, proposals, and R&D efforts. What You'll Bring Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline; Master's degree preferred. 10+ years of professional software engineering experience, including designing, developing, enhancing, and sustaining software applications. Experience serving as a Lead Software Engineer, Principal Software Engineer, Software Architect, Technical Lead, or similar technical leadership role. Strong programming foundation with professional development experience in one or more modern programming languages. Experience with modern web applications, distributed systems, APIs, databases, cloud technologies, and data-driven software solutions. Strong understanding of software architecture and secure software development, with the ability to review designs and source code, troubleshoot complex issues, and provide technical direction to other engineers. Experience applying Agile and DevOps/DevSecOps practices, including CI/CD and modern software delivery approaches. Strong communication skills with the ability to lead technical discussions across multidisciplinary engineering teams, program leadership, and customer stakeholders. Experience supporting Department of Defense or Federal Government software development programs preferred. Experience with cybersecurity analytics, digital engineering, MBSE, system-of-systems environments, AI/advanced analytics, or mission-focused engineering applications preferred. Certified Scrum Developer, Agile Developer, comparable software development certification, and/or CompTIA Security+ preferred. Additional Considerations This is a full-time position supporting mission-focused customer environments. Outside employment or activities must not create conflicts of interest with company or customer responsibilities Why G2 Ops? What makes someone choose one company over another? Compensation, benefits, meaningful work, flexibility, growth opportunities, culture? At G2 Ops, we believe you shouldn't have to choose. We offer competitive pay and benefits, but what truly sets us apart is our collaborative culture. Team members support mission-focused projects alongside highly skilled technical professionals across engineering, cybersecurity, operations, and program teams. We encourage continuous learning, cross-training, and professional growth while empowering team members to contribute ideas that improve how we work and deliver value to our customers. At G2 Ops, your contributions matter to our customers' missions and to the continued success of our team. Compensation & Benefits. The annual salary range for this position is $140,000 - $165,000, depending on qualifications and experience. G2 Ops offers a competitive compensation and benefits package designed to support our employees both personally and professionally, including: 100% company-paid insurance for medical, dental, and vision for eligible employees and family members 100% company-paid insurance for life, short-term disability (STD), and long-term disability (LTD) for eligible employees 401(k) plan with discretionary employer matching 10 paid holidays Paid time off (PTO) Educational assistance In addition, we provide professional development opportunities, performance recognition programs, and resources that support long-term career growth and work-life balance. AI at G2 Ops. At G2 Ops, we don't just talk about AI - we actively use it to improve how we work. Our teams are integrating AI into engineering, cybersecurity, operations, and decision-making workflows. We continue to invest in secure AI tooling aligned with government security requirements while developing practical, mission-focused applications across the company. Whether your role is technical or operational, you'll have opportunities to explore how AI can enhance efficiency, innovation, and mission impact. Work Environment. Because we support classified and mission-critical DoD programs, many roles require onsite collaboration at G2 Ops offices and/or customer locations. Depending on program requirements, telework and flexible scheduling options may be available. We've built a collaborative environment where team members can learn, contribute, and grow while supporting meaningful customer missions. Ready to Apply? If you're excited about solving meaningful problems, working alongside talented teammates, and contributing to important mission-focused work, we'd love to hear from you. We look forward to learning more about you! About G2 Ops, Inc. (G2 Ops) G2 Ops leverages over a decade of experience integrating Systems, Cybersecurity, and Software Engineering techniques to provide solutions to a growing list of Government and private customers. We combine cutting edge tools with innovative engineering practices, data analytics, and risk algorithms that enhance visibility into complex infrastructures, optimizing resiliency in system design and operations. G2 Ops is a woman-owned small business led by an executive staff known for providing innovative solutions to solve our nation's most complex engineering challenges. G2 Ops has been named to the Inc. 5000 list of America's fastest growing companies each of the last 9 years () and has locations in Arlington, VA, Virginia Beach, VA, and San Diego, CA. G2 Ops, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. G2 Ops, Inc. participates in the E-Verify program. Employment is contingent upon verification of identity and authorization to work in the United States. Applicants have rights under Federal Employment Laws: E-Verify Participation and Right to Work Notices:
09/25/2026
Full time
Quick Position Facts! Location: Virginia Beach, Virginia at our G2 Ops office. Work Setting: In-Office with Hybrid or Flexible Schedule Available Based on Program Requirements Salary Range: $140,000 - $165,000 plus comprehensive benefits package. Years of Industry Experience: 10 + years of relevant experience. Security Clearance Requirement: Active DoD Secret clearance required at start, with the ability to obtain and maintain a DoD Top Secret clearance after starting. About the Role. As a Principal Software Engineer , you'll shape the technical direction of software capabilities supporting the AEGIS portfolio and Department of Defense missions. You'll serve as the senior software engineering lead across a portfolio of cybersecurity and digital engineering applications, with primary responsibility for the continued development and evolution of the SOFIA Cyber Analytics Platform and technical oversight of MONARCH, SMART, and related capabilities. This is a hands-on technical leadership role for an experienced software engineer who enjoys solving complex problems, setting technical direction, and mentoring other engineers. You'll work closely with software, cybersecurity, and systems engineers, program leadership, and customers to turn complex mission needs into secure, scalable, and maintainable software solutions. What You'll Do Lead the technical direction of SOFIA, MONARCH, SMART, and related software capabilities supporting the AEGIS portfolio. Own software architecture and guide the design, development, integration, deployment, and continued evolution of mission-focused applications. Provide hands-on technical leadership to the SOFIA development team, guiding technical planning, development priorities, design decisions, code quality, and engineering execution. Establish and promote software engineering standards and best practices across front-end and back-end development, APIs, databases, analytics, cloud integration, and plugin development. Translate user and mission needs into software architectures, technical requirements, development priorities, and executable solutions. Guide development of capabilities supporting cyber analytics, vulnerability and reachability analysis, mission impact assessment, data visualization, digital engineering, and decision support. Review software designs and source code, troubleshoot complex technical challenges, and mentor engineers through architecture reviews, code reviews, and technical planning. Advance modern development practices, including Agile, DevOps/DevSecOps, CI/CD, automated testing, configuration management, and secure software development. Evaluate emerging technologies, including AI, advanced analytics, cloud services, and modern software frameworks, and apply them where they provide meaningful value. Collaborate across engineering disciplines and with program leadership and customer stakeholders to support technical demonstrations, customer engagements, technical planning, proposals, and R&D efforts. What You'll Bring Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline; Master's degree preferred. 10+ years of professional software engineering experience, including designing, developing, enhancing, and sustaining software applications. Experience serving as a Lead Software Engineer, Principal Software Engineer, Software Architect, Technical Lead, or similar technical leadership role. Strong programming foundation with professional development experience in one or more modern programming languages. Experience with modern web applications, distributed systems, APIs, databases, cloud technologies, and data-driven software solutions. Strong understanding of software architecture and secure software development, with the ability to review designs and source code, troubleshoot complex issues, and provide technical direction to other engineers. Experience applying Agile and DevOps/DevSecOps practices, including CI/CD and modern software delivery approaches. Strong communication skills with the ability to lead technical discussions across multidisciplinary engineering teams, program leadership, and customer stakeholders. Experience supporting Department of Defense or Federal Government software development programs preferred. Experience with cybersecurity analytics, digital engineering, MBSE, system-of-systems environments, AI/advanced analytics, or mission-focused engineering applications preferred. Certified Scrum Developer, Agile Developer, comparable software development certification, and/or CompTIA Security+ preferred. Additional Considerations This is a full-time position supporting mission-focused customer environments. Outside employment or activities must not create conflicts of interest with company or customer responsibilities Why G2 Ops? What makes someone choose one company over another? Compensation, benefits, meaningful work, flexibility, growth opportunities, culture? At G2 Ops, we believe you shouldn't have to choose. We offer competitive pay and benefits, but what truly sets us apart is our collaborative culture. Team members support mission-focused projects alongside highly skilled technical professionals across engineering, cybersecurity, operations, and program teams. We encourage continuous learning, cross-training, and professional growth while empowering team members to contribute ideas that improve how we work and deliver value to our customers. At G2 Ops, your contributions matter to our customers' missions and to the continued success of our team. Compensation & Benefits. The annual salary range for this position is $140,000 - $165,000, depending on qualifications and experience. G2 Ops offers a competitive compensation and benefits package designed to support our employees both personally and professionally, including: 100% company-paid insurance for medical, dental, and vision for eligible employees and family members 100% company-paid insurance for life, short-term disability (STD), and long-term disability (LTD) for eligible employees 401(k) plan with discretionary employer matching 10 paid holidays Paid time off (PTO) Educational assistance In addition, we provide professional development opportunities, performance recognition programs, and resources that support long-term career growth and work-life balance. AI at G2 Ops. At G2 Ops, we don't just talk about AI - we actively use it to improve how we work. Our teams are integrating AI into engineering, cybersecurity, operations, and decision-making workflows. We continue to invest in secure AI tooling aligned with government security requirements while developing practical, mission-focused applications across the company. Whether your role is technical or operational, you'll have opportunities to explore how AI can enhance efficiency, innovation, and mission impact. Work Environment. Because we support classified and mission-critical DoD programs, many roles require onsite collaboration at G2 Ops offices and/or customer locations. Depending on program requirements, telework and flexible scheduling options may be available. We've built a collaborative environment where team members can learn, contribute, and grow while supporting meaningful customer missions. Ready to Apply? If you're excited about solving meaningful problems, working alongside talented teammates, and contributing to important mission-focused work, we'd love to hear from you. We look forward to learning more about you! About G2 Ops, Inc. (G2 Ops) G2 Ops leverages over a decade of experience integrating Systems, Cybersecurity, and Software Engineering techniques to provide solutions to a growing list of Government and private customers. We combine cutting edge tools with innovative engineering practices, data analytics, and risk algorithms that enhance visibility into complex infrastructures, optimizing resiliency in system design and operations. G2 Ops is a woman-owned small business led by an executive staff known for providing innovative solutions to solve our nation's most complex engineering challenges. G2 Ops has been named to the Inc. 5000 list of America's fastest growing companies each of the last 9 years () and has locations in Arlington, VA, Virginia Beach, VA, and San Diego, CA. G2 Ops, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. G2 Ops, Inc. participates in the E-Verify program. Employment is contingent upon verification of identity and authorization to work in the United States. Applicants have rights under Federal Employment Laws: E-Verify Participation and Right to Work Notices:
Quick Position Facts! Location: Arlington, Virginia at our G2 Ops office. Work Setting: In-Office with Hybrid or Flexible Schedule Available Based on Program Requirements Salary Range: $145,000 - $170,000 plus comprehensive benefits package. Years of Industry Experience: 10 + years of relevant experience. Security Clearance Requirement: Active DoD Secret clearance required at start, with the ability to obtain and maintain a DoD Top Secret clearance after starting. About the Role. As a Principal Software Engineer , you'll shape the technical direction of software capabilities supporting the AEGIS portfolio and Department of Defense missions. You'll serve as the senior software engineering lead across a portfolio of cybersecurity and digital engineering applications, with primary responsibility for the continued development and evolution of the SOFIA Cyber Analytics Platform and technical oversight of MONARCH, SMART, and related capabilities. This is a hands-on technical leadership role for an experienced software engineer who enjoys solving complex problems, setting technical direction, and mentoring other engineers. You'll work closely with software, cybersecurity, and systems engineers, program leadership, and customers to turn complex mission needs into secure, scalable, and maintainable software solutions. What You'll Do Lead the technical direction of SOFIA, MONARCH, SMART, and related software capabilities supporting the AEGIS portfolio. Own software architecture and guide the design, development, integration, deployment, and continued evolution of mission-focused applications. Provide hands-on technical leadership to the SOFIA development team, guiding technical planning, development priorities, design decisions, code quality, and engineering execution. Establish and promote software engineering standards and best practices across front-end and back-end development, APIs, databases, analytics, cloud integration, and plugin development. Translate user and mission needs into software architectures, technical requirements, development priorities, and executable solutions. Guide development of capabilities supporting cyber analytics, vulnerability and reachability analysis, mission impact assessment, data visualization, digital engineering, and decision support. Review software designs and source code, troubleshoot complex technical challenges, and mentor engineers through architecture reviews, code reviews, and technical planning. Advance modern development practices, including Agile, DevOps/DevSecOps, CI/CD, automated testing, configuration management, and secure software development. Evaluate emerging technologies, including AI, advanced analytics, cloud services, and modern software frameworks, and apply them where they provide meaningful value. Collaborate across engineering disciplines and with program leadership and customer stakeholders to support technical demonstrations, customer engagements, technical planning, proposals, and R&D efforts. What You'll Bring Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline; Master's degree preferred. 10+ years of professional software engineering experience, including designing, developing, enhancing, and sustaining software applications. Experience serving as a Lead Software Engineer, Principal Software Engineer, Software Architect, Technical Lead, or similar technical leadership role. Strong programming foundation with professional development experience in one or more modern programming languages. Experience with modern web applications, distributed systems, APIs, databases, cloud technologies, and data-driven software solutions. Strong understanding of software architecture and secure software development, with the ability to review designs and source code, troubleshoot complex issues, and provide technical direction to other engineers. Experience applying Agile and DevOps/DevSecOps practices, including CI/CD and modern software delivery approaches. Strong communication skills with the ability to lead technical discussions across multidisciplinary engineering teams, program leadership, and customer stakeholders. Experience supporting Department of Defense or Federal Government software development programs preferred. Experience with cybersecurity analytics, digital engineering, MBSE, system-of-systems environments, AI/advanced analytics, or mission-focused engineering applications preferred. Certified Scrum Developer, Agile Developer, comparable software development certification, and/or CompTIA Security+ preferred. Additional Considerations This is a full-time position supporting mission-focused customer environments. Outside employment or activities must not create conflicts of interest with company or customer responsibilities Why G2 Ops? What makes someone choose one company over another? Compensation, benefits, meaningful work, flexibility, growth opportunities, culture? At G2 Ops, we believe you shouldn't have to choose. We offer competitive pay and benefits, but what truly sets us apart is our collaborative culture. Team members support mission-focused projects alongside highly skilled technical professionals across engineering, cybersecurity, operations, and program teams. We encourage continuous learning, cross-training, and professional growth while empowering team members to contribute ideas that improve how we work and deliver value to our customers. At G2 Ops, your contributions matter to our customers' missions and to the continued success of our team. Compensation & Benefits. The annual salary range for this position is $145,000 - $170,000, depending on qualifications and experience. G2 Ops offers a competitive compensation and benefits package designed to support our employees both personally and professionally, including: 100% company-paid insurance for medical, dental, and vision for eligible employees and family members 100% company-paid insurance for life, short-term disability (STD), and long-term disability (LTD) for eligible employees 401(k) plan with discretionary employer matching 10 paid holidays Paid time off (PTO) Educational assistance In addition, we provide professional development opportunities, performance recognition programs, and resources that support long-term career growth and work-life balance. AI at G2 Ops. At G2 Ops, we don't just talk about AI - we actively use it to improve how we work. Our teams are integrating AI into engineering, cybersecurity, operations, and decision-making workflows. We continue to invest in secure AI tooling aligned with government security requirements while developing practical, mission-focused applications across the company. Whether your role is technical or operational, you'll have opportunities to explore how AI can enhance efficiency, innovation, and mission impact. Work Environment. Because we support classified and mission-critical DoD programs, many roles require onsite collaboration at G2 Ops offices and/or customer locations. Depending on program requirements, telework and flexible scheduling options may be available. We've built a collaborative environment where team members can learn, contribute, and grow while supporting meaningful customer missions. Ready to Apply? If you're excited about solving meaningful problems, working alongside talented teammates, and contributing to important mission-focused work, we'd love to hear from you. We look forward to learning more about you! About G2 Ops, Inc. (G2 Ops) G2 Ops leverages over a decade of experience integrating Systems, Cybersecurity, and Software Engineering techniques to provide solutions to a growing list of Government and private customers. We combine cutting edge tools with innovative engineering practices, data analytics, and risk algorithms that enhance visibility into complex infrastructures, optimizing resiliency in system design and operations. G2 Ops is a woman-owned small business led by an executive staff known for providing innovative solutions to solve our nation's most complex engineering challenges. G2 Ops has been named to the Inc. 5000 list of America's fastest growing companies each of the last 9 years () and has locations in Arlington, VA, Virginia Beach, VA, and San Diego, CA. G2 Ops, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. G2 Ops, Inc. participates in the E-Verify program. Employment is contingent upon verification of identity and authorization to work in the United States. Applicants have rights under Federal Employment Laws: E-Verify Participation and Right to Work Notices:
09/25/2026
Full time
Quick Position Facts! Location: Arlington, Virginia at our G2 Ops office. Work Setting: In-Office with Hybrid or Flexible Schedule Available Based on Program Requirements Salary Range: $145,000 - $170,000 plus comprehensive benefits package. Years of Industry Experience: 10 + years of relevant experience. Security Clearance Requirement: Active DoD Secret clearance required at start, with the ability to obtain and maintain a DoD Top Secret clearance after starting. About the Role. As a Principal Software Engineer , you'll shape the technical direction of software capabilities supporting the AEGIS portfolio and Department of Defense missions. You'll serve as the senior software engineering lead across a portfolio of cybersecurity and digital engineering applications, with primary responsibility for the continued development and evolution of the SOFIA Cyber Analytics Platform and technical oversight of MONARCH, SMART, and related capabilities. This is a hands-on technical leadership role for an experienced software engineer who enjoys solving complex problems, setting technical direction, and mentoring other engineers. You'll work closely with software, cybersecurity, and systems engineers, program leadership, and customers to turn complex mission needs into secure, scalable, and maintainable software solutions. What You'll Do Lead the technical direction of SOFIA, MONARCH, SMART, and related software capabilities supporting the AEGIS portfolio. Own software architecture and guide the design, development, integration, deployment, and continued evolution of mission-focused applications. Provide hands-on technical leadership to the SOFIA development team, guiding technical planning, development priorities, design decisions, code quality, and engineering execution. Establish and promote software engineering standards and best practices across front-end and back-end development, APIs, databases, analytics, cloud integration, and plugin development. Translate user and mission needs into software architectures, technical requirements, development priorities, and executable solutions. Guide development of capabilities supporting cyber analytics, vulnerability and reachability analysis, mission impact assessment, data visualization, digital engineering, and decision support. Review software designs and source code, troubleshoot complex technical challenges, and mentor engineers through architecture reviews, code reviews, and technical planning. Advance modern development practices, including Agile, DevOps/DevSecOps, CI/CD, automated testing, configuration management, and secure software development. Evaluate emerging technologies, including AI, advanced analytics, cloud services, and modern software frameworks, and apply them where they provide meaningful value. Collaborate across engineering disciplines and with program leadership and customer stakeholders to support technical demonstrations, customer engagements, technical planning, proposals, and R&D efforts. What You'll Bring Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline; Master's degree preferred. 10+ years of professional software engineering experience, including designing, developing, enhancing, and sustaining software applications. Experience serving as a Lead Software Engineer, Principal Software Engineer, Software Architect, Technical Lead, or similar technical leadership role. Strong programming foundation with professional development experience in one or more modern programming languages. Experience with modern web applications, distributed systems, APIs, databases, cloud technologies, and data-driven software solutions. Strong understanding of software architecture and secure software development, with the ability to review designs and source code, troubleshoot complex issues, and provide technical direction to other engineers. Experience applying Agile and DevOps/DevSecOps practices, including CI/CD and modern software delivery approaches. Strong communication skills with the ability to lead technical discussions across multidisciplinary engineering teams, program leadership, and customer stakeholders. Experience supporting Department of Defense or Federal Government software development programs preferred. Experience with cybersecurity analytics, digital engineering, MBSE, system-of-systems environments, AI/advanced analytics, or mission-focused engineering applications preferred. Certified Scrum Developer, Agile Developer, comparable software development certification, and/or CompTIA Security+ preferred. Additional Considerations This is a full-time position supporting mission-focused customer environments. Outside employment or activities must not create conflicts of interest with company or customer responsibilities Why G2 Ops? What makes someone choose one company over another? Compensation, benefits, meaningful work, flexibility, growth opportunities, culture? At G2 Ops, we believe you shouldn't have to choose. We offer competitive pay and benefits, but what truly sets us apart is our collaborative culture. Team members support mission-focused projects alongside highly skilled technical professionals across engineering, cybersecurity, operations, and program teams. We encourage continuous learning, cross-training, and professional growth while empowering team members to contribute ideas that improve how we work and deliver value to our customers. At G2 Ops, your contributions matter to our customers' missions and to the continued success of our team. Compensation & Benefits. The annual salary range for this position is $145,000 - $170,000, depending on qualifications and experience. G2 Ops offers a competitive compensation and benefits package designed to support our employees both personally and professionally, including: 100% company-paid insurance for medical, dental, and vision for eligible employees and family members 100% company-paid insurance for life, short-term disability (STD), and long-term disability (LTD) for eligible employees 401(k) plan with discretionary employer matching 10 paid holidays Paid time off (PTO) Educational assistance In addition, we provide professional development opportunities, performance recognition programs, and resources that support long-term career growth and work-life balance. AI at G2 Ops. At G2 Ops, we don't just talk about AI - we actively use it to improve how we work. Our teams are integrating AI into engineering, cybersecurity, operations, and decision-making workflows. We continue to invest in secure AI tooling aligned with government security requirements while developing practical, mission-focused applications across the company. Whether your role is technical or operational, you'll have opportunities to explore how AI can enhance efficiency, innovation, and mission impact. Work Environment. Because we support classified and mission-critical DoD programs, many roles require onsite collaboration at G2 Ops offices and/or customer locations. Depending on program requirements, telework and flexible scheduling options may be available. We've built a collaborative environment where team members can learn, contribute, and grow while supporting meaningful customer missions. Ready to Apply? If you're excited about solving meaningful problems, working alongside talented teammates, and contributing to important mission-focused work, we'd love to hear from you. We look forward to learning more about you! About G2 Ops, Inc. (G2 Ops) G2 Ops leverages over a decade of experience integrating Systems, Cybersecurity, and Software Engineering techniques to provide solutions to a growing list of Government and private customers. We combine cutting edge tools with innovative engineering practices, data analytics, and risk algorithms that enhance visibility into complex infrastructures, optimizing resiliency in system design and operations. G2 Ops is a woman-owned small business led by an executive staff known for providing innovative solutions to solve our nation's most complex engineering challenges. G2 Ops has been named to the Inc. 5000 list of America's fastest growing companies each of the last 9 years () and has locations in Arlington, VA, Virginia Beach, VA, and San Diego, CA. G2 Ops, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. G2 Ops, Inc. participates in the E-Verify program. Employment is contingent upon verification of identity and authorization to work in the United States. Applicants have rights under Federal Employment Laws: E-Verify Participation and Right to Work Notices:
Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity . click apply for full job details
09/25/2026
Full time
Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity . click apply for full job details
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: SCI TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman's Space Systems Sector is seeking a Systems Engineer - Level 5 to join our team in Redondo Beach, CA. Please be aware that this position is contingent upon capturing program award(s) and obtaining and maintaining associated business and/or customer funding. Furthermore, this position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Continued employment thereafter will be subject to maintenance at the level of clearance and program access required for the position in the future. In this role, the Systems Engineer - Level 5 will work in tandem with a scrum team of other software and systems engineers responsible for defining the product vision, managing the product backlog, and ensuring that all features align with business objectives. You will work closely with cross-functional teams to prioritize tasks and facilitate the timely delivery of high-quality mission focused software systems solutions. Additionally, you will incorporate user feedback to continuously refine the product roadmap and drive innovation in response to evolving customer needs. Development is done within the Agile paradigm using the Atlassian tool suite, so you will need to be able to work within an Agile environment. You will have experience in systems engineering with space domain knowledge, and you will define the requirements, interfaces, processes, use cases, protocols, schemas, sequence of interactions driving the software design for Ground Segment Functions for a system. You will integrate and test software segments, automate tests, verify requirements, and deliver products to operations. You will be supporting a program through full life-cycle milestones in Agile sprints to achieve the mission, you will have strong verbal and written communication skills, and you are expected to operate independently with little oversight in a dynamic environment. You will have experience with MBSE (Model Based Systems Engineering), CAMEO, SysML diagramming, requirements & verification, domain and mission knowledge, and work with or as software system engineering. You are highly self-motivated, reporting information to leads and the customer. You are expected to handle diverse assignments with efficiency, find unique solutions, and work in a very collaborative and fast-paced environment that continues to grow. Job responsibilities include, but are not limited to, the following: -Drive development and execution of features for the satellite ground systems domain with familiarity in reading CAMEO/MBSE models -Participate in working groups, research customer needs and interfaces, and then translate them into digital artifacts to enable software implementation -Support and/or lead development of verification planning, test requirements, and other key products -Work scope covers a range of Systems Engineering disciplines and products, including requirements & verification, interfaces, architecture, and design, integration, test and sell-off -Engage in sprint planning, stand ups, retrospectives, and reviews while maintaining alignment with product vision and mission goals -Provide subject matter expertise in Space-Vehicle Command and Control System areas and collaborate with other teams and unit level engineers supporting subsystems -Conduct demos and briefings for customers and senior leadership -Ensure seamless integration of capabilities, epics, and features with ground satellite software systems solutions -Utilize Atlassian tool suite, including Jira dashboards and Confluence knowledge bases -Support and/or lead preparation and execution of milestones and Agile product increments -Engage with multiple working groups and control boards -Additional specifics of responsibilities can be tailored based on the skillset and experience of the selected candidate Basic Qualifications for Systems Engineer - Level 5: -Bachelor's degree in STEM (Science, Technology, Engineering, Math) discipline with 12+ years of engineering experience OR -Master's degree in STEM (Science, Technology, Engineering, Math) discipline with 10+ years of engineering experience OR -PhD in STEM (Science, Technology, Engineering, Math) discipline with 8+ years of engineering experience -Candidate must have an active SCI at time of application and prior to start date OR -Candidate must have an active U.S. Government Top Secret security clearance (or equivalent) at time of application and prior to start date as well as the ability and willingness to obtain and maintain an active SCI prior to start date. Continued employment thereafter will be subject to the candidate's maintenance of the level of clearance and program access required for the position in the future. -2+ years of experience with developing and evaluating behavioral and structural architecture diagrams using MBSE (Model Based Systems Engineering) methodology and tooling or equivalent -2+ years of experience using No Magic Cameo or equivalent -Experience with space-vehicle, command-and-control, mission management, mission data processing, or software subsystems -Demonstrated written and oral communications skills through written requirements, test, and evaluation criteria -2+ years of experience with Systems Engineering processes and artifacts development in support of SW development, including use cases, interface control documents, class diagrams, sequence diagrams, database design, schema development, and SW protocols such as REST, HTTP, & RESP or equivalent -Experience working on Agile programs and methodology Preferred Qualifications for Systems Engineer - Level 5: -3+ years of experience with command-and-control, network management, flight dynamics, and/or orbit determination for space-vehicle related software systems -Experience working with Space Vehicle Subsystems including thermal, power, attitude control system, propulsion, and/or communications -Familiarity with cloud-based architectures such as Kubernetes, containers, and orchestrators -Experience working mission focused threads -Experience with the software development lifecycle -Experience with JIRA/Confluence -Experience working with a geographically distributed team -Experience with Automated Test and Integration frameworks including Playwright -Active SCI at time of application and prior to start date. Please be aware that this position is contingent upon capturing program award(s) and obtaining and maintaining associated business and/or customer funding. Furthermore, this position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Continued employment thereafter will be subject to maintenance at the level of clearance and program access required for the position in the future. Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: . Working at Northrop Grumman is more than just a paycheck. We offer a comprehensive Total Rewards and benefits package designed to help you thrive at work and in life. For more information on our Total Rewards package, please visit our Total Rewards site: Northrop Grumman Total Rewards As a full-time employee of Northrop Grumman, you are eligible for: -Medical, Dental & Vision coverage -401k -Educational Assistance -Life Insurance -Employee Assistance Programs & Work/Life Solutions -Paid Time Off -Health & Wellness Resources -Employee Discounts -Flexible Schedules: for example, the ability to work a 9/80 work schedule, which allows an employee to work a nine-hour day Monday through Thursday and take every other Friday off of work. Primary Level Salary Range: $177,000.00 - $265,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results . click apply for full job details
09/24/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: SCI TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman's Space Systems Sector is seeking a Systems Engineer - Level 5 to join our team in Redondo Beach, CA. Please be aware that this position is contingent upon capturing program award(s) and obtaining and maintaining associated business and/or customer funding. Furthermore, this position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Continued employment thereafter will be subject to maintenance at the level of clearance and program access required for the position in the future. In this role, the Systems Engineer - Level 5 will work in tandem with a scrum team of other software and systems engineers responsible for defining the product vision, managing the product backlog, and ensuring that all features align with business objectives. You will work closely with cross-functional teams to prioritize tasks and facilitate the timely delivery of high-quality mission focused software systems solutions. Additionally, you will incorporate user feedback to continuously refine the product roadmap and drive innovation in response to evolving customer needs. Development is done within the Agile paradigm using the Atlassian tool suite, so you will need to be able to work within an Agile environment. You will have experience in systems engineering with space domain knowledge, and you will define the requirements, interfaces, processes, use cases, protocols, schemas, sequence of interactions driving the software design for Ground Segment Functions for a system. You will integrate and test software segments, automate tests, verify requirements, and deliver products to operations. You will be supporting a program through full life-cycle milestones in Agile sprints to achieve the mission, you will have strong verbal and written communication skills, and you are expected to operate independently with little oversight in a dynamic environment. You will have experience with MBSE (Model Based Systems Engineering), CAMEO, SysML diagramming, requirements & verification, domain and mission knowledge, and work with or as software system engineering. You are highly self-motivated, reporting information to leads and the customer. You are expected to handle diverse assignments with efficiency, find unique solutions, and work in a very collaborative and fast-paced environment that continues to grow. Job responsibilities include, but are not limited to, the following: -Drive development and execution of features for the satellite ground systems domain with familiarity in reading CAMEO/MBSE models -Participate in working groups, research customer needs and interfaces, and then translate them into digital artifacts to enable software implementation -Support and/or lead development of verification planning, test requirements, and other key products -Work scope covers a range of Systems Engineering disciplines and products, including requirements & verification, interfaces, architecture, and design, integration, test and sell-off -Engage in sprint planning, stand ups, retrospectives, and reviews while maintaining alignment with product vision and mission goals -Provide subject matter expertise in Space-Vehicle Command and Control System areas and collaborate with other teams and unit level engineers supporting subsystems -Conduct demos and briefings for customers and senior leadership -Ensure seamless integration of capabilities, epics, and features with ground satellite software systems solutions -Utilize Atlassian tool suite, including Jira dashboards and Confluence knowledge bases -Support and/or lead preparation and execution of milestones and Agile product increments -Engage with multiple working groups and control boards -Additional specifics of responsibilities can be tailored based on the skillset and experience of the selected candidate Basic Qualifications for Systems Engineer - Level 5: -Bachelor's degree in STEM (Science, Technology, Engineering, Math) discipline with 12+ years of engineering experience OR -Master's degree in STEM (Science, Technology, Engineering, Math) discipline with 10+ years of engineering experience OR -PhD in STEM (Science, Technology, Engineering, Math) discipline with 8+ years of engineering experience -Candidate must have an active SCI at time of application and prior to start date OR -Candidate must have an active U.S. Government Top Secret security clearance (or equivalent) at time of application and prior to start date as well as the ability and willingness to obtain and maintain an active SCI prior to start date. Continued employment thereafter will be subject to the candidate's maintenance of the level of clearance and program access required for the position in the future. -2+ years of experience with developing and evaluating behavioral and structural architecture diagrams using MBSE (Model Based Systems Engineering) methodology and tooling or equivalent -2+ years of experience using No Magic Cameo or equivalent -Experience with space-vehicle, command-and-control, mission management, mission data processing, or software subsystems -Demonstrated written and oral communications skills through written requirements, test, and evaluation criteria -2+ years of experience with Systems Engineering processes and artifacts development in support of SW development, including use cases, interface control documents, class diagrams, sequence diagrams, database design, schema development, and SW protocols such as REST, HTTP, & RESP or equivalent -Experience working on Agile programs and methodology Preferred Qualifications for Systems Engineer - Level 5: -3+ years of experience with command-and-control, network management, flight dynamics, and/or orbit determination for space-vehicle related software systems -Experience working with Space Vehicle Subsystems including thermal, power, attitude control system, propulsion, and/or communications -Familiarity with cloud-based architectures such as Kubernetes, containers, and orchestrators -Experience working mission focused threads -Experience with the software development lifecycle -Experience with JIRA/Confluence -Experience working with a geographically distributed team -Experience with Automated Test and Integration frameworks including Playwright -Active SCI at time of application and prior to start date. Please be aware that this position is contingent upon capturing program award(s) and obtaining and maintaining associated business and/or customer funding. Furthermore, this position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Continued employment thereafter will be subject to maintenance at the level of clearance and program access required for the position in the future. Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: . Working at Northrop Grumman is more than just a paycheck. We offer a comprehensive Total Rewards and benefits package designed to help you thrive at work and in life. For more information on our Total Rewards package, please visit our Total Rewards site: Northrop Grumman Total Rewards As a full-time employee of Northrop Grumman, you are eligible for: -Medical, Dental & Vision coverage -401k -Educational Assistance -Life Insurance -Employee Assistance Programs & Work/Life Solutions -Paid Time Off -Health & Wellness Resources -Employee Discounts -Flexible Schedules: for example, the ability to work a 9/80 work schedule, which allows an employee to work a nine-hour day Monday through Thursday and take every other Friday off of work. Primary Level Salary Range: $177,000.00 - $265,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results . click apply for full job details
Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity . click apply for full job details
09/23/2026
Full time
Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity . click apply for full job details
Job Description Job Description Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary+ annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation . click apply for full job details
09/16/2026
Full time
Job Description Job Description Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary+ annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation . click apply for full job details
GXM Technologies LLC seeks a Senior Digital Engineer specializing in MBSE and Data Science to support mission-critical defense and intelligence programs. In this role, you will architect and maintain SysML-based models, integrate geospatial, C4ISR, AI/ML, and cyber capabilities, and build advanced analytics to inform complex system decisions. You will collaborate with cross-functional teams, drive digital engineering best practices, mentor junior staff, and contribute to R&D efforts, delivering secure, scalable solutions that directly support U.S. national security objectives. Responsibilities Lead development of MBSE models to support complex defense and intelligence systems Design and implement data science and analytics solutions for mission-focused applications Integrate geospatial, C4 ISR, AI/ML, and cyber capabilities into digital engineering workflows Collaborate with cross-functional teams to define system architecture and requirements Develop prototypes and tools to support advanced R&D and systems integration Ensure model traceability, verification, and validation across the system lifecycle Optimize data pipelines, feature engineering, and model performance for production use Document designs, analyses, and technical decisions for stakeholders and customers Mentor junior engineers and data scientists in MBSE and analytics best practices Support proposal efforts and technical presentations to government clients Required Skills Model-Based Systems Engineering (MBSE) Sys ML or similar modeling languages Systems architecture and requirements engineering Data science and statistical analysis Python or similar programming languages Machine learning frameworks (e.g., Tensor Flow, Py Torch, scikit-learn) Geospatial data and tools (e.g., GIS, geospatial libraries) C4 ISR or defense/intelligence systems domain knowledge Data pipeline and ETL development Cloud or containerized environments for analytics
09/11/2026
Full time
GXM Technologies LLC seeks a Senior Digital Engineer specializing in MBSE and Data Science to support mission-critical defense and intelligence programs. In this role, you will architect and maintain SysML-based models, integrate geospatial, C4ISR, AI/ML, and cyber capabilities, and build advanced analytics to inform complex system decisions. You will collaborate with cross-functional teams, drive digital engineering best practices, mentor junior staff, and contribute to R&D efforts, delivering secure, scalable solutions that directly support U.S. national security objectives. Responsibilities Lead development of MBSE models to support complex defense and intelligence systems Design and implement data science and analytics solutions for mission-focused applications Integrate geospatial, C4 ISR, AI/ML, and cyber capabilities into digital engineering workflows Collaborate with cross-functional teams to define system architecture and requirements Develop prototypes and tools to support advanced R&D and systems integration Ensure model traceability, verification, and validation across the system lifecycle Optimize data pipelines, feature engineering, and model performance for production use Document designs, analyses, and technical decisions for stakeholders and customers Mentor junior engineers and data scientists in MBSE and analytics best practices Support proposal efforts and technical presentations to government clients Required Skills Model-Based Systems Engineering (MBSE) Sys ML or similar modeling languages Systems architecture and requirements engineering Data science and statistical analysis Python or similar programming languages Machine learning frameworks (e.g., Tensor Flow, Py Torch, scikit-learn) Geospatial data and tools (e.g., GIS, geospatial libraries) C4 ISR or defense/intelligence systems domain knowledge Data pipeline and ETL development Cloud or containerized environments for analytics
