Wyetech
Annapolis Junction, Maryland
Job Description Job Description: Artificial Intelligence/Machine Learning (AI/ML) Engineer - Skill Level 1 Specialization: Natural Language Processing (NLP), Multilingual Language Models & AI/ML DevelopmentRequired Clearance: Active TS Clearance with Customer Appropriate Polygraph Wyetech is seeking an Artificial Intelligence/Machine Learning (AI/ML) Engineer Level 1 to support the design, development, training, fine-tuning, evaluation, deployment, and sustainment of advanced machine learning models, with a particular emphasis on Natural Language Processing (NLP), multilingual language models, and AI-driven applications. The successful candidate will be responsible for building and optimizing language models, including Marian-based machine translation and multilingual model development, while supporting the complete machine learning lifecycle. This position requires hands-on experience with modern AI/ML frameworks, open-source model libraries, deep learning containers, GPU technologies, and cloud-based machine learning platforms. The AI/ML Engineer will collaborate with data scientists, software engineers, product teams, and mission stakeholders to develop scalable solutions that meet operational requirements. Responsibilities include model architecture design, training and retraining, statistical analysis, performance benchmarking, deployment, production integration, and ongoing optimization. The ideal candidate will possess strong programming experience in Java, C, and C++, familiarity with TensorFlow, PyTorch, or Hugging Face, and experience deploying AI/ML models using AWS services such as SageMaker, Lambda, EC2, and S3. A strong understanding of full-stack software development, data engineering, infrastructure management, and secure model deployment is also important.Required Skills/Experience Hands-on experience developing, training, fine-tuning, evaluating, and deploying machine learning models, particularly language models and NLP solutions. Demonstrated knowledge of language model architectures, training methodologies, optimization techniques, and model evaluation practices. Experience with Marian and multilingual language model development, including machine translation or multilingual NLP applications. Experience working with open-source machine learning model libraries and frameworks. Experience using deep learning containers (DLCs) to support model development, training, and deployment. Experience with GPU technologies, including GPU-based model training, performance optimization, and tuning. Strong programming experience in Java, C, and C++. Proficiency with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face. Experience developing, training, retraining, testing, and optimizing machine learning models. Experience selecting appropriate datasets and performing statistical analysis to support model development. Experience evaluating model accuracy, performance, reliability, and operational effectiveness. Experience conducting error analysis, debugging, benchmarking, and model diagnostics. Experience using cloud-based AI/ML platforms, particularly AWS SageMaker. Familiarity with AWS services such as Lambda, EC2, and S3 for model development, deployment, and infrastructure integration. Experience integrating machine learning models into production applications and operational systems. Experience supporting full-stack software development, including frontend and backend application components. Experience developing software applications using JavaScript, Python, Java, or comparable programming languages. Strong understanding of data structures, algorithms, software architecture, and system design. Experience collaborating with software engineers to develop scalable model deployment pipelines. Experience working with cross-functional teams to translate operational requirements into technical AI/ML solutions. Experience documenting model architectures, development workflows, evaluation results, and technical specifications. Strong analytical, troubleshooting, communication, and problem-solving skills. Active TS/SCI clearance with Full Scope Polygraph completed within the past seven (7) years. Desired Skills/Experience Knowledge of computational linguistics and its application to natural language processing and multilingual model development. Experience developing or supporting Large Language Models (LLMs). Experience working in Government, Department of Defense, or Intelligence Community environments. Experience with secure data handling, data governance, and compliance requirements. Experience using MLflow, Git, or comparable tools for model versioning, experiment tracking, and lifecycle management. Experience using Kubernetes or comparable container orchestration technologies. Experience implementing machine learning operations (MLOps) practices and automated deployment pipelines. Experience optimizing GPU resource utilization for model training and inference. Experience improving multilingual model performance through data preprocessing, fine-tuning, and evaluation. Experience developing scalable cloud-native AI/ML applications. Experience supporting model monitoring, drift detection, and performance improvements in production environments. Experience developing and maintaining automated model training and evaluation workflows. Familiarity with infrastructure management, data engineering, and data pipeline integration. Experience supporting geographically distributed technical teams. Willingness to participate in occasional on-call support as needed. Responsibilities and Capabilities AI/ML Model Development and Training Design, develop, implement, and maintain machine learning algorithms and models to address mission and operational requirements. Build, train, fine-tune, and optimize language models, with particular emphasis on NLP and multilingual applications. Develop and enhance Marian-based machine translation and multilingual language model solutions. Select appropriate datasets to support model training, validation, and evaluation. Apply statistical analysis and machine learning methodologies to identify patterns, evaluate performance, and improve model effectiveness. Implement model architectures and training approaches that meet established functional and performance requirements. Train and retrain models using appropriate datasets, optimization techniques, and evaluation feedback. Utilize open-source machine learning frameworks, libraries, and packages to accelerate development. Apply best practices for model tuning, optimization, and performance improvement. Develop scalable AI/ML solutions capable of learning and generating predictions consistent with customer requirements. Natural Language Processing and Multilingual Model Development Develop and maintain NLP solutions supporting language understanding, translation, and multilingual processing. Support model development and optimization using Marian and related language model technologies. Evaluate multilingual model performance across supported languages and datasets. Apply appropriate preprocessing, tokenization, training, and fine-tuning methodologies. Analyze model outputs to identify translation errors, performance deficiencies, and opportunities for improvement. Collaborate with technical stakeholders to establish language model performance requirements. Support improvements to model accuracy, efficiency, and operational reliability. Investigate and recommend emerging NLP techniques and open-source model technologies. Model Evaluation, Testing, and Performance Optimization Execute standard AI/ML test and evaluation protocols. Conduct model benchmarking, performance analysis, and statistical evaluation. Perform error analysis, debugging, and model diagnostics to identify performance limitations. Evaluate model accuracy, reliability, efficiency, and operational effectiveness. Analyze evaluation results and implement improvements to model architectures, training methodologies, and inference processes. Support GPU optimization and tuning to improve training and inference performance. Document model evaluation methodologies, test results, and recommended improvements. Implement iterative model improvements based on user feedback, system performance, and evaluation findings. Monitor model performance and recommend retraining or configuration adjustments when necessary. Cloud-Based Model Deployment and Integration Develop and deploy AI/ML models using cloud-based platforms, particularly AWS SageMaker. Utilize AWS services such as Lambda, EC2, and S3 to support model development, deployment, storage, and integration. Integrate trained models into production applications and operational environments. Support the deployment, scheduling, monitoring, and maintenance of AI/ML models. Collaborate with software engineering and infrastructure teams to establish reliable model deployment workflows. Support containerized AI/ML environments using deep learning containers and related technologies. Assist with model scaling, infrastructure optimization, and production performance improvements. Provide system integration oversight to ensure AI/ML solutions operate effectively with supporting applications and infrastructure. Troubleshoot model deployment, compatibility, performance, and integration issues. Full-Stack Software Engineering Contribute to the development and maintenance of frontend and backend components supporting AI/ML applications. Develop software components using Java, C, C++, Python, JavaScript, or other applicable programming languages. Collaborate with software engineers to integrate AI/ML models into scalable application architectures. Support the design and implementation of interfaces connecting model services with enterprise applications. Apply software engineering principles to improve application reliability, performance, and maintainability . click apply for full job details
Job Description Job Description: Artificial Intelligence/Machine Learning (AI/ML) Engineer - Skill Level 1 Specialization: Natural Language Processing (NLP), Multilingual Language Models & AI/ML DevelopmentRequired Clearance: Active TS Clearance with Customer Appropriate Polygraph Wyetech is seeking an Artificial Intelligence/Machine Learning (AI/ML) Engineer Level 1 to support the design, development, training, fine-tuning, evaluation, deployment, and sustainment of advanced machine learning models, with a particular emphasis on Natural Language Processing (NLP), multilingual language models, and AI-driven applications. The successful candidate will be responsible for building and optimizing language models, including Marian-based machine translation and multilingual model development, while supporting the complete machine learning lifecycle. This position requires hands-on experience with modern AI/ML frameworks, open-source model libraries, deep learning containers, GPU technologies, and cloud-based machine learning platforms. The AI/ML Engineer will collaborate with data scientists, software engineers, product teams, and mission stakeholders to develop scalable solutions that meet operational requirements. Responsibilities include model architecture design, training and retraining, statistical analysis, performance benchmarking, deployment, production integration, and ongoing optimization. The ideal candidate will possess strong programming experience in Java, C, and C++, familiarity with TensorFlow, PyTorch, or Hugging Face, and experience deploying AI/ML models using AWS services such as SageMaker, Lambda, EC2, and S3. A strong understanding of full-stack software development, data engineering, infrastructure management, and secure model deployment is also important.Required Skills/Experience Hands-on experience developing, training, fine-tuning, evaluating, and deploying machine learning models, particularly language models and NLP solutions. Demonstrated knowledge of language model architectures, training methodologies, optimization techniques, and model evaluation practices. Experience with Marian and multilingual language model development, including machine translation or multilingual NLP applications. Experience working with open-source machine learning model libraries and frameworks. Experience using deep learning containers (DLCs) to support model development, training, and deployment. Experience with GPU technologies, including GPU-based model training, performance optimization, and tuning. Strong programming experience in Java, C, and C++. Proficiency with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face. Experience developing, training, retraining, testing, and optimizing machine learning models. Experience selecting appropriate datasets and performing statistical analysis to support model development. Experience evaluating model accuracy, performance, reliability, and operational effectiveness. Experience conducting error analysis, debugging, benchmarking, and model diagnostics. Experience using cloud-based AI/ML platforms, particularly AWS SageMaker. Familiarity with AWS services such as Lambda, EC2, and S3 for model development, deployment, and infrastructure integration. Experience integrating machine learning models into production applications and operational systems. Experience supporting full-stack software development, including frontend and backend application components. Experience developing software applications using JavaScript, Python, Java, or comparable programming languages. Strong understanding of data structures, algorithms, software architecture, and system design. Experience collaborating with software engineers to develop scalable model deployment pipelines. Experience working with cross-functional teams to translate operational requirements into technical AI/ML solutions. Experience documenting model architectures, development workflows, evaluation results, and technical specifications. Strong analytical, troubleshooting, communication, and problem-solving skills. Active TS/SCI clearance with Full Scope Polygraph completed within the past seven (7) years. Desired Skills/Experience Knowledge of computational linguistics and its application to natural language processing and multilingual model development. Experience developing or supporting Large Language Models (LLMs). Experience working in Government, Department of Defense, or Intelligence Community environments. Experience with secure data handling, data governance, and compliance requirements. Experience using MLflow, Git, or comparable tools for model versioning, experiment tracking, and lifecycle management. Experience using Kubernetes or comparable container orchestration technologies. Experience implementing machine learning operations (MLOps) practices and automated deployment pipelines. Experience optimizing GPU resource utilization for model training and inference. Experience improving multilingual model performance through data preprocessing, fine-tuning, and evaluation. Experience developing scalable cloud-native AI/ML applications. Experience supporting model monitoring, drift detection, and performance improvements in production environments. Experience developing and maintaining automated model training and evaluation workflows. Familiarity with infrastructure management, data engineering, and data pipeline integration. Experience supporting geographically distributed technical teams. Willingness to participate in occasional on-call support as needed. Responsibilities and Capabilities AI/ML Model Development and Training Design, develop, implement, and maintain machine learning algorithms and models to address mission and operational requirements. Build, train, fine-tune, and optimize language models, with particular emphasis on NLP and multilingual applications. Develop and enhance Marian-based machine translation and multilingual language model solutions. Select appropriate datasets to support model training, validation, and evaluation. Apply statistical analysis and machine learning methodologies to identify patterns, evaluate performance, and improve model effectiveness. Implement model architectures and training approaches that meet established functional and performance requirements. Train and retrain models using appropriate datasets, optimization techniques, and evaluation feedback. Utilize open-source machine learning frameworks, libraries, and packages to accelerate development. Apply best practices for model tuning, optimization, and performance improvement. Develop scalable AI/ML solutions capable of learning and generating predictions consistent with customer requirements. Natural Language Processing and Multilingual Model Development Develop and maintain NLP solutions supporting language understanding, translation, and multilingual processing. Support model development and optimization using Marian and related language model technologies. Evaluate multilingual model performance across supported languages and datasets. Apply appropriate preprocessing, tokenization, training, and fine-tuning methodologies. Analyze model outputs to identify translation errors, performance deficiencies, and opportunities for improvement. Collaborate with technical stakeholders to establish language model performance requirements. Support improvements to model accuracy, efficiency, and operational reliability. Investigate and recommend emerging NLP techniques and open-source model technologies. Model Evaluation, Testing, and Performance Optimization Execute standard AI/ML test and evaluation protocols. Conduct model benchmarking, performance analysis, and statistical evaluation. Perform error analysis, debugging, and model diagnostics to identify performance limitations. Evaluate model accuracy, reliability, efficiency, and operational effectiveness. Analyze evaluation results and implement improvements to model architectures, training methodologies, and inference processes. Support GPU optimization and tuning to improve training and inference performance. Document model evaluation methodologies, test results, and recommended improvements. Implement iterative model improvements based on user feedback, system performance, and evaluation findings. Monitor model performance and recommend retraining or configuration adjustments when necessary. Cloud-Based Model Deployment and Integration Develop and deploy AI/ML models using cloud-based platforms, particularly AWS SageMaker. Utilize AWS services such as Lambda, EC2, and S3 to support model development, deployment, storage, and integration. Integrate trained models into production applications and operational environments. Support the deployment, scheduling, monitoring, and maintenance of AI/ML models. Collaborate with software engineering and infrastructure teams to establish reliable model deployment workflows. Support containerized AI/ML environments using deep learning containers and related technologies. Assist with model scaling, infrastructure optimization, and production performance improvements. Provide system integration oversight to ensure AI/ML solutions operate effectively with supporting applications and infrastructure. Troubleshoot model deployment, compatibility, performance, and integration issues. Full-Stack Software Engineering Contribute to the development and maintenance of frontend and backend components supporting AI/ML applications. Develop software components using Java, C, C++, Python, JavaScript, or other applicable programming languages. Collaborate with software engineers to integrate AI/ML models into scalable application architectures. Support the design and implementation of interfaces connecting model services with enterprise applications. Apply software engineering principles to improve application reliability, performance, and maintainability . click apply for full job details
Wyetech
Columbia, Maryland
Job Description Job Description At Wyetech, you'll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. We are seeking a Configuration Manager to implement and maintain configuration management and version control processes for hardware and software systems across the full lifecycle. This role ensures configuration integrity and traceability, manages baselines, enforces standardized processes, utilizes CM tools, and supports audits and change control. Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). Capabilities Lead the development and enforcement of hardware and software version control processes, policies, and procedures Establish and maintain configuration baselines and ensure proper versioning of all configuration items (CIs) Manage end-to-end configuration control processes, including change tracking, impact analysis, approvals, and audit readiness Utilize configuration management tools (e.g., DOORS, Eclipse) to store, track, and manage configuration items Support build, integration, testing, and release environments, ensuring configuration integrity and traceability Develop and document CM processes, including automated build and release procedures aligned with standards Perform configuration audits, support Change Control Board (CCB) activities, and ensure end-to-end configuration traceability Required Qualifications TS/SCI with agency appropriate poly Six (6) years of experience in configuration management and version control on programs/contracts of similar scope, type, and complexity Bachelor's degree in technical or business discipline from an accredited college or university (or four (4) additional years of CM experience in lieu of degree) Required Technical Skills Experience implementing and managing hardware and software configuration baselines and version control systems If supporting a developmental program: at least one (1) year of experience using a source code control system (e.g., Git, SVN, or equivalent) in a similar environment The Benefits Package Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds. Additional benefits include: Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs. Full-time employees have the option to participate in a variety of voluntary benefit plans including: A Choice of Medical Plan Options, some with Health Savings Account (HSA) Vision and Dental Life and AD&D Benefits Short and Long-Term Disability Hospital Indemnity, Accident, and Critical Illness Insurances Optional Identity Theft and Legal Protection Services Company Environment & Perks Employee Referral Bonus Eligibility up to $10,000 Mobility Among Wyetech-supported Contracts Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party. Employees receive two complementary branded clothing orders annually. Pay Range: $42.82 - $57.99 per hour Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. Hourly pay rates reflect the pre-benefit gross wage amounts. Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Affirmative Action Statement: Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans. Accommodations: Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or . We are happy to provide reasonable accommodations to ensure equal access to all candidates. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description At Wyetech, you'll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. We are seeking a Configuration Manager to implement and maintain configuration management and version control processes for hardware and software systems across the full lifecycle. This role ensures configuration integrity and traceability, manages baselines, enforces standardized processes, utilizes CM tools, and supports audits and change control. Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). Capabilities Lead the development and enforcement of hardware and software version control processes, policies, and procedures Establish and maintain configuration baselines and ensure proper versioning of all configuration items (CIs) Manage end-to-end configuration control processes, including change tracking, impact analysis, approvals, and audit readiness Utilize configuration management tools (e.g., DOORS, Eclipse) to store, track, and manage configuration items Support build, integration, testing, and release environments, ensuring configuration integrity and traceability Develop and document CM processes, including automated build and release procedures aligned with standards Perform configuration audits, support Change Control Board (CCB) activities, and ensure end-to-end configuration traceability Required Qualifications TS/SCI with agency appropriate poly Six (6) years of experience in configuration management and version control on programs/contracts of similar scope, type, and complexity Bachelor's degree in technical or business discipline from an accredited college or university (or four (4) additional years of CM experience in lieu of degree) Required Technical Skills Experience implementing and managing hardware and software configuration baselines and version control systems If supporting a developmental program: at least one (1) year of experience using a source code control system (e.g., Git, SVN, or equivalent) in a similar environment The Benefits Package Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds. Additional benefits include: Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs. Full-time employees have the option to participate in a variety of voluntary benefit plans including: A Choice of Medical Plan Options, some with Health Savings Account (HSA) Vision and Dental Life and AD&D Benefits Short and Long-Term Disability Hospital Indemnity, Accident, and Critical Illness Insurances Optional Identity Theft and Legal Protection Services Company Environment & Perks Employee Referral Bonus Eligibility up to $10,000 Mobility Among Wyetech-supported Contracts Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party. Employees receive two complementary branded clothing orders annually. Pay Range: $42.82 - $57.99 per hour Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. Hourly pay rates reflect the pre-benefit gross wage amounts. Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Affirmative Action Statement: Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans. Accommodations: Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or . We are happy to provide reasonable accommodations to ensure equal access to all candidates. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Wyetech
Linthicum Heights, Maryland
Job Description Job Description At Wyetech, you'll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. Seeking a motivated Principal Network Evaluator with strong networking knowledge to support an exciting Computer Network Defense mission. Evaluator will work closely with Government stakeholders to identify network vulnerabilities, investigate cyber threats, conduct network defense operations, and provide actionable recommendations that strengthen enterprise security and mission capabilities. Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). Capabilities Conduct proactive computer network defense activities by analyzing systems and networks to identify vulnerabilities, detect network intrusions, monitor security events, assess attack surfaces, and develop operational courses of action to mitigate cyber threats. Perform vulnerability assessments using industry-standard tools and techniques, analyze network routing devices, traffic, and audit logs, conduct packet analysis, research emerging technologies and vulnerabilities, support digital forensics and exploitation analysis, document analytic findings, and produce comprehensive reports and recommendations for Government stakeholders. Required Qualifications TS/SCI with agency appropriate poly Bachelor's degree plus 11-years of relevant experience, or equivalent. Required Technical Skills Strong networking knowledge (Cisco, Juniper, & Arista devices and protocols), analytical and problem-solving skills. Experience with computer network defense, vulnerability assessment, incident response, packet analysis, SIEM technologies, and cybersecurity analysis. Experience researching system vulnerabilities and developing mitigation strategies. Practical experience with Splunk and Elastic. Desired Technical Skills Previous Hunt/Blue Team experience. Knowledge of Network Defense Integrity (NDI) Methodology, digital forensics, intrusion detection systems, vulnerability scanning technologies, MITRE ATT&CK, NIST cybersecurity frameworks, and scripting languages. Experience with Wireshark, tcpdump, or similar network analysis and SIEM tools. Relevant cybersecurity certifications (Security+, CySA+, GCIH, GCIA, GCFA, CISSP, or equivalent). The Benefits Package Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds. Additional benefits include: Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs. Full-time employees have the option to participate in a variety of voluntary benefit plans including: A Choice of Medical Plan Options, some with Health Savings Account (HSA) Vision and Dental Life and AD&D Benefits Short and Long-Term Disability Hospital Indemnity, Accident, and Critical Illness Insurances Optional Identity Theft and Legal Protection Services Company Environment & Perks Employee Referral Bonus Eligibility up to $10,000 Mobility Among Wyetech-supported Contracts Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party. Employees receive two complementary branded clothing orders annually. Pay Range: $ - $ per hour Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. Hourly pay rates reflect the pre-benefit gross wage amounts. Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Affirmative Action Statement: Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans. Accommodations: Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or . We are happy to provide reasonable accommodations to ensure equal access to all candidates. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description At Wyetech, you'll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. Seeking a motivated Principal Network Evaluator with strong networking knowledge to support an exciting Computer Network Defense mission. Evaluator will work closely with Government stakeholders to identify network vulnerabilities, investigate cyber threats, conduct network defense operations, and provide actionable recommendations that strengthen enterprise security and mission capabilities. Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). Capabilities Conduct proactive computer network defense activities by analyzing systems and networks to identify vulnerabilities, detect network intrusions, monitor security events, assess attack surfaces, and develop operational courses of action to mitigate cyber threats. Perform vulnerability assessments using industry-standard tools and techniques, analyze network routing devices, traffic, and audit logs, conduct packet analysis, research emerging technologies and vulnerabilities, support digital forensics and exploitation analysis, document analytic findings, and produce comprehensive reports and recommendations for Government stakeholders. Required Qualifications TS/SCI with agency appropriate poly Bachelor's degree plus 11-years of relevant experience, or equivalent. Required Technical Skills Strong networking knowledge (Cisco, Juniper, & Arista devices and protocols), analytical and problem-solving skills. Experience with computer network defense, vulnerability assessment, incident response, packet analysis, SIEM technologies, and cybersecurity analysis. Experience researching system vulnerabilities and developing mitigation strategies. Practical experience with Splunk and Elastic. Desired Technical Skills Previous Hunt/Blue Team experience. Knowledge of Network Defense Integrity (NDI) Methodology, digital forensics, intrusion detection systems, vulnerability scanning technologies, MITRE ATT&CK, NIST cybersecurity frameworks, and scripting languages. Experience with Wireshark, tcpdump, or similar network analysis and SIEM tools. Relevant cybersecurity certifications (Security+, CySA+, GCIH, GCIA, GCFA, CISSP, or equivalent). The Benefits Package Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds. Additional benefits include: Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs. Full-time employees have the option to participate in a variety of voluntary benefit plans including: A Choice of Medical Plan Options, some with Health Savings Account (HSA) Vision and Dental Life and AD&D Benefits Short and Long-Term Disability Hospital Indemnity, Accident, and Critical Illness Insurances Optional Identity Theft and Legal Protection Services Company Environment & Perks Employee Referral Bonus Eligibility up to $10,000 Mobility Among Wyetech-supported Contracts Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party. Employees receive two complementary branded clothing orders annually. Pay Range: $ - $ per hour Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. Hourly pay rates reflect the pre-benefit gross wage amounts. Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Affirmative Action Statement: Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans. Accommodations: Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or . We are happy to provide reasonable accommodations to ensure equal access to all candidates. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Wyetech
Annapolis Junction, Maryland
Job Description Job Description At Wyetech, you'll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. Responsible for configuration management (CM) of developmental and operational systems. Works on developmental and operational teams to create and maintain configuration baselines (development, test, production, etc.) supporting developmental and operational systems. Uses or recommends automated CM tools to implement CM policies and procedures. Develops or modifies CM plans, policies, and procedures tailored to the complexity and scope of the developmental or operational system. Implement CM discipline for the entire life cycle of systems from initial requirements/capabilities baselines to system end-of-life. Perform change control and configuration audits. Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). Capabilities Assist in implementing hardware and software version control processes, policies, and procedures. Utilize configuration management tools (e.g., MadForge, Eclipse) to store, track, and manage configuration items. Demonstrate understanding of fundamental concepts and experience in documenting hardware and software configuration management processes and procedures. Implement hardware and software version control processes, policies, and procedures. Support the maintenance and development of environments for hardware and software product build, staging, testing, and integration. Define and implement hardware and software configuration management processes and procedures, including the creation of product build scripts and integration of those scripts into the build process. Maintain the configuration management (CM) environment for product build, staging, testing, and integration activities. Develop and enforce hardware and software version control processes, policies, and procedures across development projects. Apply configuration management principles to define and implement processes, including creating and integrating product build scripts within hardware and software build environments. Serve as an advisor to, or non-voting member of, the Government Change Control Board (CCB). Required Qualifications TS/SCI with agency appropriate poly Six (6) years of experience in configuration management and version control on programs/contracts of similar scope, type, and complexity Bachelor's degree in technical or business discipline from an accredited college or university (or four (4) additional years of CM experience in lieu of degree) The Benefits Package Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds. Additional benefits include: Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs. Full-time employees have the option to participate in a variety of voluntary benefit plans including: A Choice of Medical Plan Options, some with Health Savings Account (HSA) Vision and Dental Life and AD&D Benefits Short and Long-Term Disability Hospital Indemnity, Accident, and Critical Illness Insurances Optional Identity Theft and Legal Protection Services Company Environment & Perks Employee Referral Bonus Eligibility up to $10,000 Mobility Among Wyetech-supported Contracts Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party. Employees receive two complementary branded clothing orders annually. Pay Range: $42.82 - $57.99 per hour Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. Hourly pay rates reflect the pre-benefit gross wage amounts. Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Affirmative Action Statement: Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans. Accommodations: Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or . We are happy to provide reasonable accommodations to ensure equal access to all candidates. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description At Wyetech, you'll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. Responsible for configuration management (CM) of developmental and operational systems. Works on developmental and operational teams to create and maintain configuration baselines (development, test, production, etc.) supporting developmental and operational systems. Uses or recommends automated CM tools to implement CM policies and procedures. Develops or modifies CM plans, policies, and procedures tailored to the complexity and scope of the developmental or operational system. Implement CM discipline for the entire life cycle of systems from initial requirements/capabilities baselines to system end-of-life. Perform change control and configuration audits. Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). Capabilities Assist in implementing hardware and software version control processes, policies, and procedures. Utilize configuration management tools (e.g., MadForge, Eclipse) to store, track, and manage configuration items. Demonstrate understanding of fundamental concepts and experience in documenting hardware and software configuration management processes and procedures. Implement hardware and software version control processes, policies, and procedures. Support the maintenance and development of environments for hardware and software product build, staging, testing, and integration. Define and implement hardware and software configuration management processes and procedures, including the creation of product build scripts and integration of those scripts into the build process. Maintain the configuration management (CM) environment for product build, staging, testing, and integration activities. Develop and enforce hardware and software version control processes, policies, and procedures across development projects. Apply configuration management principles to define and implement processes, including creating and integrating product build scripts within hardware and software build environments. Serve as an advisor to, or non-voting member of, the Government Change Control Board (CCB). Required Qualifications TS/SCI with agency appropriate poly Six (6) years of experience in configuration management and version control on programs/contracts of similar scope, type, and complexity Bachelor's degree in technical or business discipline from an accredited college or university (or four (4) additional years of CM experience in lieu of degree) The Benefits Package Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds. Additional benefits include: Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs. Full-time employees have the option to participate in a variety of voluntary benefit plans including: A Choice of Medical Plan Options, some with Health Savings Account (HSA) Vision and Dental Life and AD&D Benefits Short and Long-Term Disability Hospital Indemnity, Accident, and Critical Illness Insurances Optional Identity Theft and Legal Protection Services Company Environment & Perks Employee Referral Bonus Eligibility up to $10,000 Mobility Among Wyetech-supported Contracts Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party. Employees receive two complementary branded clothing orders annually. Pay Range: $42.82 - $57.99 per hour Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. Hourly pay rates reflect the pre-benefit gross wage amounts. Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Affirmative Action Statement: Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans. Accommodations: Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or . We are happy to provide reasonable accommodations to ensure equal access to all candidates. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.