28 jobs found

Pay Range: $60.00hr - $65.00hr Job Overview: The Azure Data Architecture Lead is responsible for providing architectural leadership in designing, implementing, and optimizing large-scale data solutions using Azure Data Factory and related Azure services. This role drives enterprise-scale data initiatives, ensuring solutions are robust, scalable, and aligned with industry best practices. The position plays a critical part in shaping data strategy, enforcing governance, and fostering innovation to support organizational and client objectives. Key Responsibilities: Architect end-to-end data integration and transformation solutions using Azure Data Factory, ensuring scalability, reliability, and adherence to enterprise standards. Design and oversee advanced analytics platforms leveraging Azure Databricks, Azure Synapse Analytics, and Azure ML to enable data-driven decision-making. Define and implement DevOps practices for data pipelines in Azure, ensuring automated deployments, monitoring, and operational excellence. Lead architectural reviews and enforce governance and compliance measures across Azure data solutions, maintaining alignment with industry and organizational standards. Collaborate with business stakeholders to gather requirements and translate them into innovative, scalable Azure-based data architectures. Mentor and develop technical teams on Azure data technologies, ensuring skill advancement and risk mitigation in solution delivery. Author whitepapers, contribute to industry forums, and drive intellectual property initiatives to establish thought leadership in Azure data architecture. Skill Requirements: Architectural leadership in Azure Data Factory with expert-level proficiency in designing complex data integration solutions. Advanced expertise in Azure Databricks, Azure Synapse Analytics, and Azure ML for large-scale analytics and machine learning workloads. In-depth knowledge of DevOps practices for Azure data services, including CI/CD, monitoring, and automation. Solid understanding of data governance, security, and compliance frameworks within Azure environments. Excellent ability to translate business requirements into scalable Azure data architectures. Strong mentoring and leadership skills to guide technical teams in Azure data technologies. Other Requirements: Microsoft Certified: Azure Solutions Architect Expert (Recommended). Microsoft Certified: Azure Data Engineer Associate (Optional but valuable). Microsoft Certified: Azure Data Scientist Associate (Optional but valuable). Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Description Job Description Overview Systems Engineer, Senior LOCATION: Dahlgren, VA JOB STATUS: Full-time CLEARANCE: Secret (Ability to obtain up to a TS/SCI) TRAVEL: Up to 25% - inferred from system engineering, mission engineering, platform integration, certification, and technical working group support; Capture/TA to confirm. SALARY RANGE: $141k -$ 211k Astrion has an exciting opportunity for a Systems Engineer, Senior to join our team supporting NSWCDD in Dahlgren, VA. This role leads systems engineering and mission engineering for DoD major strategic, platform, weapon, combat, Command and Control, cyber, and/or fire control systems. The Systems Engineer, Senior develops requirements, top-level designs, and system architectures for software-intensive systems that support Navy and Joint warfighting capability. Required Qualifications Bachelor of Science degree from an accredited college or university in an engineering, scientific, or technical discipline; or ten (10) years of demonstrated and established knowledge base and subject matter expertise relevant to the technical disciplines of the SOW. Ten (10) years of professional systems engineering experience with a DoD major strategic, platform, weapon, combat, C2, cyber, and/or fire control systems program. Five (5) years of concurrent experience as a team leader performing systems engineering and mission engineering efforts that include developing requirements and top-level designs and/or system architectures for software-intensive systems. Experience identifying, analyzing, and resolving complex systems engineering issues involving platform, weapon, combat, C2, cyber situational awareness, and fire control systems for Navy and Joint warfighting capabilities. Concurrent experience in one of the source-defined subcategories: Weapons Systems / Weapons Control Systems / Combat Systems; Strategic Fire Control Systems; Security Systems; Cyberspace Systems; or Computer Systems Engineer. For Security Systems subcategory only: CISSP IAW DoDD 8570; IAM Level III or higher with certification in Networking Technologies; IT-1 level clearance; experience preparing and submitting Navy/DoD security certification and accreditation documentation for major weapon, combat, and/or fire control systems. Ability to obtain and maintain the DoD/Navy clearance required by the final DD254/JPAS. Desired Qualifications Experience with Government Off-The-Shelf and Commercial Off-The-Shelf technology in weapon, weapons control, combat, or fire control systems. Experience with strategic fire control systems, SLBM Fire Control Systems, Formal Qualification Testing, Independent Verification and Validation, third-generation programming languages, Database Management Systems, mission planning, targeting models and simulations, Strategic Weapon System, Attack Weapon Control System, SPALTs, or logistics management of software, hardware, and documentation. Experience leading shipboard system integration, development, deployment/design efforts, safety, Information Assurance, Human System Integration, documentation, software or hardware Change Control Boards, or working groups supporting strategic or attack weapons systems. Experience with big data, machine learning, cloud, microservice architecture, correlation and analytics of externally derived information, and display of information for decision-making. Education Bachelor of Science degree from an accredited college or university in an engineering, scientific, or technical discipline; or ten (10) years of demonstrated and established knowledge base and subject matter expertise relevant to the technical disciplines of the SOW. Responsibilities Lead systems engineering and mission engineering efforts for strategic, platform, weapon, combat, C2, cyber, and/or fire control systems. Develop requirements, top-level designs, and system architectures for software-intensive systems. Identify, analyze, and resolve complex systems engineering issues involving Navy and Joint warfighting capabilities. Support lifecycle system development and analysis for milestone decisions, concept of operations, and initial design development. Develop or review system integration documents for weapons systems, weapons control systems, and/or combat systems. Support strategic, weapon, and/or combat system certification processes and self-certification criteria. Support strategic fire control systems engineering, including software development, hardware design, systems integration, technical design documentation, coordination drawings, future capability definition, and weapons system integration. Support security systems engineering, including certification and accreditation documentation, DIACAP/RMF/PIT or predecessor processes, and security capability specification, development, integration, and test, when assigned to the Security Systems subcategory. Support cyberspace systems engineering involving operational requirements identification, decomposition, architecture design, development, test, evaluation, big data, machine learning, cloud, microservice architecture, and enterprise software integration, when assigned to the Cyberspace Systems subcategory. Support computer systems engineering activities including requirements definition, system design parameters, concepts of operation, risk assessment, producibility studies, performance analyses, test and evaluation, and post-delivery support.

Job Description Job Description Position: Machine Learning Engineer III - AI/ML Product Engineering Location: Atlanta, GA Duration: 5 Months Client: Southern Company Services Southern Company Services is seeking an experienced Machine Learning Engineer III to develop scalable, reusable, and production-grade AI products for deployment across multiple operating companies. This role will focus on Retrieval-Augmented Generation, multi-agent systems, natural language processing, model deployment, and cloud-based AI solutions. The ideal candidate will have strong software engineering skills, hands-on AI/ML experience, and expertise with Azure or Google Cloud Platform. Key Responsibilities Design and build modular, reusable AI components and services. Develop scalable RAG solutions using structured and unstructured data. Engineer multi-agent systems for task coordination, workflow automation, and decision support. Build transcription and NLP pipelines for customer-interaction analysis. Develop and fine-tune models using PyTorch, Hugging Face Transformers, LangChain, or similar frameworks. Package and deploy models using Azure Machine Learning, Google Cloud Platform, or Databricks. Integrate Databricks for data ingestion, feature engineering, experimentation, and model development. Develop reusable libraries, APIs, templates, and engineering patterns. Partner with MLOps, DevOps, data engineering, architecture, and product teams. Implement monitoring for model performance, data drift, system usage, and operational reliability. Ensure AI solutions meet enterprise security, privacy, compliance, scalability, and observability requirements. Provide technical guidance to teams adopting shared AI products and components. Required Qualifications Strong experience developing and deploying production-grade AI and machine learning solutions. Hands-on experience with RAG architectures, LLM applications, multi-agent systems, and NLP. Experience with Azure AI services, Google Cloud Platform AI services, or Azure Machine Learning. Proficiency with Python and frameworks such as PyTorch, Transformers, or LangChain. Experience deploying scalable models and AI services in cloud environments. Knowledge of APIs, software engineering practices, model monitoring, and MLOps. Experience working with structured and unstructured datasets. Strong communication, collaboration, analytical, and problem-solving skills. Preferred Qualifications Experience with Databricks, vector databases, embeddings, and semantic search. Experience building reusable enterprise AI platforms or shared AI services. Knowledge of model evaluation, data drift, observability, and responsible AI. Familiarity with CI/CD, containers, Kubernetes, and cloud-native deployment. Utility, energy, or regulated-industry experience is preferred.

Job Description Job Description Big Data, dataflows, Artificial Intelligence / Machine Learning (AI/ML) familiarity, Analytics in GME, Jupyter notebooks, and Spark. Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position. Required: Must be a US Citizen Must have TS/SCI clearance w/ active polygraph This position is open to multiple levels of years of experience; two (02) years within the last five (05) years must be directly related to the job you are applying for: Level 04 requires a minimum seventeen (17) years of experience w/ Degree Level 03 requires a minimum twelve (12) years of experience w/ Degree Level 02 requires a minimum five (05) years of experience w/ Degree Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper-level math courses designated as elementary or basic do not count. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C , data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity. Employ some combination (2 or more) of the following areas: Foundations (Mathematical, Computational, Statistical); Data Processing (Data management and curation, data description and visualization, workflow, and reproducibility); Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations). Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent to Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Agency collection, processing, storage and analytic capabilities and limitations. These Qualifications Would be Nice to Have: Fully Cleared polygraph is preferred Knowledge of working with Big Data, dataflows, Machine Learning/Artificial Intelligence familiarity. Analytics in GME, Jupyter notebooks, and Spark. The pay range for this job, with multi-levels, is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. The benefits package: • Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA • Comprehensive Dental insurance • Vision with 80% employer paid premium • Employer paid Life insurance 100% • Employer paid Short-term and Long-term disability 100% • Annual training, continued education, and professional memberships reimbursement • Unlimited access to Red Hat Enterprise Linux and AWS training and accreditation • Annual reimbursement for technology i.e. phones, computers, printers, etc. • 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment) The environment and perks: • Professional development investment and paid time off for training • Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, Florida and Hawaii. • Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers • Leadership Team engagement and mentorship • Performance Recognition Program • Complimentary branded apparel Don't see a job opening that's the perfect fit? Apply to our General Position to join our talent pool for consideration for future opportunities. Know someone else who may be a good fit? Refer them through the CTI External Referral Program and you could receive a one-time referral bonus of up to $10,000 ! Email for more information. Constellation Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Job applicants can submit questions about CTI's equal employment opportunity policy to . 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 Job Summary: The Infrastructure Engineer is responsible for the administration, maintenance, security, and continuous improvement of the i3 Broadband's core infrastructure platforms, including virtualization, computer, storage, backup and recovery, server operating systems, identity services, cloud services, infrastructure monitoring, and datacenter technologies. Reporting to the IT Infrastructure Manager, this position focuses on operational excellence, lifecycle management, resiliency, automation, and modernization initiatives that support reliable and secure business operations. The Infrastructure Engineer works closely with Cybersecurity, Network Engineering, Software Engineering, Helpdesk, vendors, and business stakeholders to maintain stable and supportable infrastructure services, reduce operational risk, support disaster recovery preparedness, and ensure technology platforms remain secure, scalable, and aligned with business objectives. Key Responsibilities: Virtualization, Compute & Datacenter Infrastructure: Administer VMware vSphere, vCenter, ESXi hosts, clusters, virtual machines, and supporting virtualization technologies. Deploy, configure, maintain, monitor, and troubleshoot virtual and physical server infrastructure. Support Windows Server operating systems, enterprise server hardware, and core datacenter technologies across company locations. Monitor resource utilization, availability, and performance; provide data and recommendations supporting capacity planning and optimization. Coordinate infrastructure deployments, upgrades, refreshes, migrations, and lifecycle activities. Support datacenter and equipment-room operations, including system installation, maintenance, inventory documentation, and decommissioning. Storage, Backup & Disaster Recovery: Administer enterprise storage platforms, storage allocations, performance, availability, and capacity utilization. Administer Veeam Backup & Replication and supporting backup and recovery infrastructure. Monitor and validate backup job health, investigate failures, and perform documented recovery testing. Participate in disaster recovery planning, documentation, testing, exercises, and continuous improvement activities. Maintain recovery procedures, dependencies, system priorities, and technical documentation for critical infrastructure services. Identity, Cloud & Collaboration Services: Administer or support Microsoft 365, Microsoft Entra, Active Directory, hybrid identity, and related infrastructure services. Support identity lifecycle processes, authentication services, directory synchronization, administrative access, and platform availability. Partner with Cybersecurity to implement multi-factor authentication, conditional access, privileged access, endpoint-management, and other security improvements involving Microsoft Entra and Intune. Maintain configuration standards, documentation, monitoring, and lifecycle practices for supported cloud and collaboration services. Support Office 365 authentication integrations and identity dependencies used by enterprise and internally developed applications. Infrastructure Operations, Security & Lifecycle Management: Plan and execute infrastructure patching, maintenance, upgrades, and configuration changes using approved change-management processes. Identify, document, prioritize, and remediate end-of-life, end-of-support, capacity, availability, and configuration risks. Partner with Cybersecurity to assess and remediate infrastructure vulnerabilities, hardening gaps, access concerns, and security findings. Use infrastructure monitoring and logging platforms to identify service issues, risks, performance trends, and improvement opportunities. Respond to escalated incidents affecting critical infrastructure and business systems and participate in root-cause analysis. Provide planned after-hours maintenance and support for significant infrastructure incidents as needed. Automation, Documentation & Collaboration: Automate repetitive infrastructure administration, reporting, deployment, and validation tasks where practical using PowerShell or other approved tools. Create and maintain infrastructure diagrams, inventories, standards, procedures, Method of Procedure documents, support documentation, and system dependencies. Follow change control, incident management, problem management, asset management, and configuration management requirements. Coordinate technical work with Network Engineering, Cybersecurity, Software Engineering, Helpdesk, vendors, and business stakeholders. Provide clear status updates, technical recommendations, and escalation information to the IT Infrastructure Manager and affected stakeholders. Perform other duties as assigned. Qualifications: Education and Experience: Associate degree, technical certificate, relevant coursework, or an equivalent combination of professional experience and technical training in information technology, infrastructure, systems administration, or a related field preferred. Five or more years of progressively responsible experience in infrastructure, systems administration, virtualization, cloud services, datacenter operations, or a related technical role preferred. Demonstrated hands-on experience supporting VMware vSphere, Windows Server, enterprise storage, backup and recovery, identity services, or related infrastructure platforms. Experience with Veeam Backup & Replication, Microsoft 365, Microsoft Entra, Active Directory, hybrid identity, infrastructure monitoring, or PowerShell automation preferred. Industry certifications from Microsoft, VMware/Broadcom, Veeam, or comparable infrastructure technology providers are valued. Telecommunications, broadband, ISP, infrastructure-intensive, or other 24x7 operational experience preferred. Skills and Competencies: Strong practical knowledge of enterprise virtualization, Windows Server, storage, backup, recovery, identity, and datacenter technologies. Working knowledge of TCP/IP, DNS, DHCP, VLANs, firewalls, VPNs, and related networking fundamentals. Ability to troubleshoot complex infrastructure performance, availability, capacity, configuration, and integration issues. Ability to plan and execute technical changes using documented procedures, testing, rollback planning, and change control. Ability to evaluate technical risk, establish priorities, and drive issues through resolution. Strong critical thinking, organization, attention to detail, and problem-solving skills. Ability to work independently and collaborate effectively across technical teams, vendors, and business stakeholders. Strong written and verbal communication skills and commitment to ongoing technical learning and professional development. Working Conditions: Ability to communicate effectively orally and in writing and operate standard office technology and equipment. Ability to travel to company locations, datacenters, and vendor sites as business needs require, typically a few days per month. Requires prolonged periods of sitting at a desk and working on a computer workstation. Ability to work in datacenter and equipment-room environments with appropriate safety practices. Occasional standing, walking, bending, reaching, climbing, or working around infrastructure equipment. Ability to safely lift and move equipment weighing up to 50 pounds. Must be able to perform repetitive and detailed technical tasks with accuracy and consistency. Must be available for planned maintenance and occasional after-hours infrastructure support activities. Equal Opportunity: i3 Broadband is an equal opportunity workplace that respects the diversity of our customer base and our team. We will treat customers, employees, and applicants fairly without regard for gender, race, age, or any other characteristics protected by law. Our employment decisions are made on the basis of qualification, merit, and business needs.

Job Description Job Description Salary Ranges: Application Developer Level 2: $84,255 (min) - $ 134,808 (max) Application Developer Level 3: $97,536 (min) - $ 156,057 (max) The Application Developer designs, develops, implements, and supports secure, scalable, and reliable business applications, integrations, and automation solutions that advance N3B's mission and operational objectives. This position collaborates closely with business stakeholders, information technology personnel, cybersecurity teams, and external partners to deliver innovative software solutions utilizing modern Microsoft, cloud, database, and enterprise application technologies. The Application Developer is responsible for the full software development lifecycle, including requirements analysis, architecture, development, testing, deployment, maintenance, and continuous improvement. The position leverages modern development practices, AI-assisted productivity tools, DevSecOps methodologies, and cloud technologies while adhering to cybersecurity, accessibility, and regulatory requirements. MAJOR DUTIES & RESPONSIBILITIES: Include, but are not limited to: Application Development and Architecture • Design, develop, test, deploy, and maintain enterprise applications and services using C#, .NET, ASP.NET Core, Entity Framework Core, and related technologies. • Design and develop RESTful APIs, web services, and system integrations. • Participate in solution architecture, technical design reviews, and technology evaluations. • Create scalable, maintainable, and reusable software components following established design patterns and architectural standards. • Translate business requirements into technical specifications and software solutions. Artificial Intelligence and Emerging Technologies • Utilize approved AI-assisted development tools to enhance software development, testing, troubleshooting, documentation, code analysis, and productivity. • Evaluate AI-generated code, recommendations, and outputs for accuracy, security, maintainability, and compliance. • Identify opportunities to responsibly integrate artificial intelligence, machine learning, automation, and intelligent business solutions into organizational processes. • Stay informed of emerging AI technologies and industry best practices while ensuring compliance with corporate, DOE, and cybersecurity requirements. Microsoft 365 and Power Platform Solutions • Design and support Microsoft 365-based solutions utilizing SharePoint Online, Power Apps, Power Automate, Microsoft Dataverse, and Power BI. • Develop automated workflows, dashboards, reports, and business process solutions that improve organizational efficiency. • Support Power Platform governance, lifecycle management, security, and application administration. • Integrate Microsoft 365 solutions with internal and external systems using APIs and connectors. Cloud and Enterprise Platform Development • Develop and support cloud-enabled solutions using Microsoft Azure and other approved cloud platforms. • Utilize Azure services such as App Services, Azure Functions, Logic Apps, Azure SQL, and Microsoft Entra ID where applicable. • Support hybrid integrations between on-premises and cloud-based systems. • Assist with cloud modernization initiatives and technology innovation efforts. Security, Accessibility, and Quality Assurance • Incorporate secure coding practices throughout the development lifecycle. • Conduct code reviews, security reviews, and peer reviews. • Develop and maintain automated unit tests, integration tests, and regression tests. • Resolve security vulnerabilities and application defects in a timely manner. DevSecOps and Software Lifecycle Managemen t • Utilize Azure DevOps, Git, and CI/CD pipelines to support modern software delivery practices. • Support application release management, change management, and deployment activities. • Maintain technical documentation, configuration records, and operational procedures. Collaboration and Customer Engagement • Collaborate with business stakeholders to gather requirements, define solutions, and deliver business value. • Communicate effectively with technical and non-technical audiences. • Participate in technical briefings, project meetings, and customer engagements. • Provide technical guidance and knowledge sharing within project teams. Compliance and Cybersecurity • Adhere to company cybersecurity policies, DOE directives, NIST frameworks, and regulatory requirements. • Support audits, assessments, risk management activities, and compliance initiatives. • Coordinate with cybersecurity personnel to ensure applications meet security requirements. • Protect confidential, sensitive, and personally identifiable information (PII). Safety, Security, and Quality • Protect the confidentiality, integrity, and availability of information systems and data. • Maintain required safety, security, and operational training. • Ensure procedural and regulatory compliance. • Make safety, security, and quality integral to every task performed. • Exercise stop-work authority when conditions are unsafe or when security, quality, or compliance could be compromised. • Performs related duties as assigned. EDUCATION & EXPERIENCE: The career level of the position will be determined by the years of relevant experience, knowledge, skills, and abilities; after a candidate has been chosen. Level 2: Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline, or a closely related field; and at least three (3) years of relevant experience. Level 3: Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline, or a closely related field; and at least five (5) years of relevant experience. PREFERRED QUALIFICATIONS: • Experience working within the Department of Energy community or other government setting • Experience developing cloud-native or cloud-hosted applications in Microsoft Azure. • Experience with SharePoint Online administration and development. • Experience implementing DevSecOps and CI/CD best practices. • Experience with Microsoft Power Platform governance and enterprise deployment. • Experience with React, Angular, or modern front-end frameworks. • Familiarity with containerization technologies such as Docker and Kubernetes. • AWS Cloud Practitioner, Microsoft Azure Fundamentals, Azure Developer Associate, CompTIA Project+, CompTIA A+, Security+, or ITIL Foundations certifications. • Active DOE Q Clearance or the ability to obtain and maintain one. KNOWLEDGE, SKILL, & ABILITY: • Working knowledge of DOE Order 426.2; and other guidance for training and qualifications records especially those impacting nuclear facilities and activities. • Working knowledge of AI-assisted development tools, such as GitHub Copilot, Microsoft Copilot, ChatGPT Enterprise, or similar technologies, and their professional applications. • Skill in developing effective prompts and applying responsible AI practices. • Ability to evaluate AI-generated software artifacts for security, accuracy, maintainability, and compliance. • Working knowledge of AI governance, ethical principles, and data protection requirements. • Working knowledge of machine learning, generative AI, automation technologies, or intelligent document processing preferred. • Excellent communication skills to effectively convey thoughts clearly and concisely, both verbally and in writing to diverse audiences. • Effective interpersonal skills with ability to work/interact effectively and amicably with people from diverse backgrounds and cultures and with diverse personal attributes. • Ability to train and mentor junior staff to higher levels of performance. • Level of language skills, mathematical skills, communication skills, reasoning ability and computer skills necessary to perform essential functions of the job. WORKING CONDITIONS & PHYSICAL REQUIREMENTS: • Ability to perform essential job functions with or without reasonable accommodation. • Regularly required to sit, stand, walk, and occasionally climb, bend, stoop, kneel, crouch, and reach. • Frequently lifts up to 10 pounds; occasionally up to 20 pounds. • Requires close, distance, color, and depth vision, and ability to adjust focus. • Requires ability to hear and communicate effectively in person, virtually, and by phone. • Individuals must be able to perform the essential functions of the job with or without reasonable accommodation. ADDITIONAL QUALIFICATIONS: • Maintains required safety, security and operational training; assure procedural and regulatory compliance; make safety, security and quality an integral part of every task; including stopping work if job is unsafe or compromises security. • This position will ensure all activities and operations are performed in a safe and deliberate manner to include protecting the confidentiality and integrity of Personally Identifiable Information (PII).

Job Description Job Description Position: Senior Data Scientist Work Location: 1302 Pleasant Ridge Rd., Greensboro, JOB DESCRIPTION: Perform statistical analysis of a/b tests and build machine learning ranking models for search result ranking and personalized recommendations. Build models for category classifiers in predicting categories for a product or search keyword, fine tune out of box models such as word2vec or Bert, text embedding, customer segmentations models, and help support various business decision making process. Complete ownership from requirements, solution design, development, production launch and post launch production support. Work through all phases of development including data analysis, model prototyping, model evaluation (offline/online), training data set, automation and maintenance. Participate in code reviews and regular on-call rotations. Collaborate with other teams including search and data engineering, web and marketing analysts, data analyst, project managers, system team and other contractors/consultants. Write code in Python/R using various statistical techniques and machine learning models, maintain all the code in repository such as Git/Bitbucket. Hands on development and deliver the work in sprint cycle. Develop visualization of data with tools such as Jupyter notebooks and integrations with Tableau. A/B test evaluation, share the findings with the team. Communicate summarized results to technical and non-technical stakeholders to help them make decision. Work with search engineers and data engineers in integrating ML models, analytics pipeline, work with ML Engineers/Data Engineers in deploying models to production, participate in MLOps processes. Work with stakeholders throughout the organization to identify opportunities for leveraging machine learning techniques across other business verticals. Mentor Jr. team members, define architecture, code review. REQUIREMENTS: Must possess a Bachelor's degree in Computer Science, Business Analytics, or a closely related degree and 5 years of experience in the job offered or related role. Must possess experience with: (i) Machine learning Tech Stack; (ii) PyTorch; (iii) TensorFlow; (iv) Scikit-learn; (v) Pandas; (vi) Python R; (vii) Deep Learning frameworks; (viii) Database SQL queries; (ix) AWS Athena; (x) BigQuery and Google Analytics tagging and integration; (xi) ML models for information retrieval algorithms; (xii) Transformers and encoders; (xiii) ANN/KNN; and (xiv) Programming skills, statistical techniques, clustering techniques, predictive modeling, AI/ML/NLP, architecture diagramming, and problem solving and debugging skills.

Job Description Job Description Software Guidance & Assistance, Inc., (SGA), is searching for a Machine Learning Engineer for a contract assignment with one of our premier BANKING clients in Cincinnati, OH . Responsibilities : Design, build, and optimize scalable machine learning platforms and production ML systems. Focus on enabling end-to-end machine learning lifecycle management, including feature engineering, model development, deployment automation, monitoring, governance, and continuous improvement. ML Platform Engineering & Model Operations Design, develop, deploy, and manage production-grade machine learning solutions. Build scalable and reusable machine learning platforms that support model development, training, validation, deployment, and monitoring. Implement best practices for model versioning, experimentation tracking, governance, and reproducibility. Develop frameworks to support both batch and real-time inference workloads. Optimize machine learning systems for performance, reliability, maintainability, and cost efficiency. MLOps Pipeline Development Design and maintain automated CI/CD/CT (Continuous Integration, Continuous Delivery, Continuous Training) pipelines for machine learning workflows. Automate model testing, validation, deployment, rollback, and retraining processes. Establish infrastructure-as-code practices and automated environment provisioning. Build operational tooling to support model lifecycle management across development, testing, and production environments. Feature Store & Data Engineering Integration Design and support enterprise feature stores to improve feature reuse, consistency, and model governance. Collaborate with data engineering teams to integrate machine learning solutions with data warehouses, data lakes, and operational data sources. Develop scalable data pipelines supporting both training and inference workloads. Optimize data availability, quality, lineage, and observability. Production Monitoring & Reliability Implement model monitoring frameworks covering: Model performance Data quality Data drift Concept drift Feature drift System health and reliability Establish alerting, observability, and incident management processes. Develop strategies for model retraining and continuous performance improvement. Real-Time Machine Learning Systems Build and support low-latency scoring and prediction platforms. Develop event-driven machine learning architectures using streaming technologies. Partner with business and engineering teams to enable near real-time decisioning capabilities. Governance, Security & Compliance Implement MLOps governance standards and controls. Ensure compliance with enterprise security, privacy, risk, and regulatory requirements. Support model auditability, explainability, lineage tracking, and documentation. Partner with risk, compliance, and cybersecurity teams to maintain operational standards. Collaboration & Technical Leadership Collaborate closely with data scientists, analytics teams, product owners, and software engineers. Translate business requirements into scalable technical solutions. Mentor junior engineers and contribute to MLOps standards, patterns, and best practices. Drive adoption of modern machine learning engineering methodologies across the organization. The engineer will help establish and mature enterprise MLOps capabilities, including: Feature Store implementation and adoption. Model Registry and governance processes. Automated CI/CD/CT pipelines. Real-time model deployment and scoring. Enterprise machine learning monitoring and observability. Reusable machine learning platform services that accelerate model development and deployment across data science teams. Required Skills : 5+ years of experience in Machine Learning Engineering, MLOps, Data Engineering, or Software Engineering. 3+ years of experience building and supporting production machine learning systems. The ideal candidate has strong experience building and operationalizing machine learning solutions in cloud environments, developing CI/CD pipelines for ML workloads, and collaborating with data scientists, data engineers, software engineers, and business stakeholders. Experience working in highly regulated industries such as financial services, banking, healthcare, insurance, or telecommunications is highly desirable. Demonstrated experience implementing end-to-end machine learning lifecycle management. Experience operating ML workloads in cloud environments (AWS, Azure, or GCP). Experience supporting both batch and real-time machine learning solutions. Experience working with large-scale structured and unstructured data. Machine Learning & MLOps ML lifecycle management Model deployment and orchestration Experiment tracking and model versioning Model monitoring and observability Feature Store architecture Model Registry implementation Automated retraining workflows Responsible AI and model governance practices Cloud Platforms Experience with one or more: AWS SageMaker Azure Machine Learning Google Vertex AI Programming Proficiency in: Python (required) SQL (required) Java, Scala, or R (preferred) Data Platforms Experience with: Snowflake Databricks IBM DB2 or equivalent enterprise RDBMS platforms Data lakes and modern cloud storage platforms Data Transformation Experience with: dbt Spark Pandas PySpark DevOps & Infrastructure Experience with: Git/GitHub/GitLab Jenkins, GitHub Actions, Azure DevOps, or equivalent CI/CD tools Terraform or infrastructure-as-code frameworks Linux administration Shell scripting Containers & Orchestration Experience with: Docker Kubernetes OpenShift (preferred) Streaming & Real-Time Technologies Experience with: Apache Kafka Event-driven architectures Real-time inference pipelines Monitoring & Observability Experience with: Prometheus Grafana ELK Stack Cloud-native monitoring solutions Preferred Skills : Experience implementing enterprise Feature Stores. Experience designing Model Registry and ML Governance frameworks. Experience building real-time decisioning or scoring platforms. Experience supporting credit risk, fraud, customer analytics, recommendation systems, or predictive analytics use cases. Experience with MLFlow, Kubeflow, Airflow, Argo Workflows, Feast, SageMaker Pipelines, or similar MLOps platforms. Knowledge of software architecture patterns and distributed systems. Familiarity with AI/ML regulatory frameworks and model risk management practices. Relevant cloud certifications (AWS, Azure, GCP) preferred. By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations. SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.

Job Description Job Description Description: Senior Machine Learning Engineer, Speech & LLM Training Data Own Your Impact. At Propio , we don't believe careers happen to people. We believe people create them. Here, you're trusted to make decisions, challenge assumptions, drive innovation, and shape outcomes. Your success is not limited by hierarchy or tenure. It's fueled by your ambition, your curiosity, and your willingness to own your impact. If you're looking for a role where you can simply maintain the status quo, this probably isn't it, but if you're looking for a place where your ideas matter, your growth is accelerated, and your work creates meaningful impact across the world, we'd love to talk. Why Propio? Every day, communication changes lives. A patient receives care they otherwise couldn't access. A family gains critical information. A business connects with a customer. A community becomes more inclusive. These moments happen because barriers are removed. And behind those moments are Propio team members who show up every day to solve problems, innovate, and build the future. This isn't just work. This is world impact. As a Senior Machine Learning Engineer, Speech & LLM Training Data , you'll have the opportunity to make a meaningful contribution to the continued growth and transformation of Propio. You will transform large volumes of multilingual conversational audio into high-quality training and evaluation datasets. This hands-on role owns audio processing, dataset curation, annotation and QA workflows, model training, and evaluation for our multilingual speech, translation, and conversational AI systems. You'll Be Empowered To Take ownership of important initiatives and outcomes. Drive meaningful business results. Influence decisions and contribute new ideas. Partner with talented, high-performing team members. Challenge yourself through continuous learning and growth. Help shape the future of a rapidly growing organization. What You'll Own Define the data roadmap for multilingual speech, translation, multimodal LLMs, and conversational AI. Build audio-processing pipelines covering resampling, channel handling, VAD, diarization, language identification, transcription, alignment, and quality filtering. Build dataset pipelines for cleaning, deduplication, PII/PHI redaction, quality scoring, sampling, balancing, versioning, and lineage. Design annotation guidelines, QA rubrics, golden datasets, and reviewer workflows. Build evaluation datasets, analyze model failures, and translate performance gaps into targeted data improvements. Run training, fine-tuning, post-training, and evaluation experiments, including SFT, preference data, DPO/RLHF-style workflows, and synthetic data generation. Productionize secure, traceable, and reproducible data and ML workflows on AWS. What Makes Someone Successful Here The most successful people at Propio aren't necessarily the ones with the longest resumes. They're the people who: Take ownership instead of waiting for direction. Embrace challenges as opportunities to grow. Continuously seek better ways of working. Turn ideas into action. Hold themselves and others accountable to high standards. Are driven by making a measurable impact. Requirements: What You'll Bring Required Qualifications Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Electrical Engineering, Computational Linguistics, or a related field, or equivalent practical experience. 5+ years of experience in ML engineering, speech/audio ML, ML data engineering, NLP, or LLM training-data workflows. Strong hands-on experience with Python, SQL, Linux, Git, and Docker. Experience training or evaluating models using PyTorch, Hugging Face, or comparable ML frameworks. Experience with FFmpeg and audio-processing libraries such as TorchCodec, torchaudio, librosa, or equivalent tools. Experience with speech-processing tasks such as VAD, diarization, ASR, forced alignment, language identification, and audio-quality analysis. Experience with Databricks/Spark, Parquet/Arrow, and large-scale dataset pipelines. Working knowledge of AWS S3, SageMaker, Glue, Step Functions, IAM, and KMS. Experience with an annotation platform such as Labelbox, Label Studio, Scale AI, Prodigy, Argilla, or custom internal tooling. Experience with experiment tracking and data versioning tools such as MLflow, Weights & Biases, DVC, Delta Lake, or LakeFS. Experience with multilingual speech, translation, annotation workflows, and evaluation datasets. Preferred Qualifications: Experience with multilingual telephony, healthcare, interpretation, or call-center audio. Experience with tools such as Silero VAD, pyannote, WhisperX, NeMo, Kaldi, or equivalent speech technologies. Experience with distributed processing or training using Ray, PySpark, or similar frameworks. Experience with HIPAA, PHI/PII redaction, and secure data governance. Experience with low-resource languages, accents, dialects, and code-switching. Experience with synthetic data, active learning, weak supervision, or LLM-as-judge evaluation. Even if your experience doesn't perfectly match every qualification, we encourage you to apply. We're looking for potential, drive, and a commitment to growth as much as experience. What You'll Gain Own Your Growth: We invest in people who invest in themselves. You'll have opportunities to learn, develop, and expand your capabilities while building a meaningful career. Own Your Impact: You'll see the connection between your work and our success. We believe great people deserve the opportunity to make a real difference. Own Your Innovation: The best ideas can come from anywhere. We encourage curiosity, creativity, and challenging the way things have always been done. Own Your Success: Whether you're building expertise, pursuing leadership opportunities, or expanding your career path, we'll give you room to grow and the support to get there. At Propio, your work doesn't just move a company forward. It helps connect people, communities, and opportunities across the world. Ready to Build Something Bigger? Apply today and discover what happens when you own your success. Notice of AI Use in Job Application Review As part of our commitment in creating a fair, efficient, and consistent hiring process we may use artificial intelligence (AI) to help our recruiting teams organize, summarize, and analyze information provided by candidates, including resumes, application responses, and other materials submitted during the application process.AI may be used to identify patterns, highlight relevant skills, and experience, and assist in comparing a candidate's qualifications with the requirement of a specific role. These tools are to improve efficiency and consistency while supporting more informed hiring decisions, which will ultimately be made by the hiring team.

Job Description Job Description Description: Job Summary: The Systems Engineer III is responsible for supporting the design, development, integration, and lifecycle management of complex systems across a range of technical programs. This role contributes to technical excellence and innovation by applying advanced systems engineering practices such as requirements analysis, architecture design, risk management, and system validation. The position plays a key role in ensuring successful project execution while promoting a culture of continuous improvement. Responsibilities include direct collaboration with U.S. government and industry partners to support system integration and test efforts for unmanned systems (UXS) platforms . Job Duties: Technical Leadership: Provide strategic technical leadership and guidance to cross-functional teams. Drive the development and implementation of best practices in technology architecture, design, and development. Innovation and Technology Trends: Stay abreast of industry trends, emerging technologies, and best practices. Proactively identify opportunities for innovation and improvement in existing processes and systems. Architectural Design: Lead the design and implementation of scalable, reliable, and high-performance robotic and UXS systems. Collaborate with stakeholders to define and refine system architecture based on evolving requirements. Mentorship and Collaboration: Collaborate with cross-functional teams, including product management, engineering, and operations, to ensure alignment and successful project delivery. Mentor and coach technical teams, fostering a culture of learning and continuous improvement. Technical Strategy: Contribute to the development and execution of the technical strategy aligned with organizational goals. Assess and recommend new technologies that align with business objectives. Quality Assurance: Drive the implementation of robust testing and quality assurance processes. Ensure compliance with industry standards and best practices. Problem Resolution: Provide technical expertise in troubleshooting and resolving complex technical issues. Collaborate with teams to identify and implement solutions to overcome challenges. Requirements: Key Responsibilities: Lead the planning and execution of systems engineering activities for large-scale or high-complexity projects. Define and manage system requirements, interfaces, and architecture in coordination with cross-functional teams. Develop and maintain system specifications, design documents, and technical reports. Conduct trade studies and technical evaluations to support decision-making processes. Ensure effective integration and verification of subsystems into complete systems. Identify and mitigate technical risks throughout the project lifecycle. Collaborate with program management, software, hardware, and test engineering teams to meet customer and regulatory requirements. Support technical proposals, cost estimates, and design reviews. Mentor junior engineers and provide technical leadership across projects. Required Qualifications: Bachelor's degree in systems engineering, Electrical Engineering, Computer Engineering, or related field (master's preferred). Minimum 4 years of experience or equivalent skills in systems engineering or related technical role. Proven experience with full system lifecycle: concept, development, integration, test, and deployment. Strong knowledge of systems engineering standards (e.g., INCOSE, IEEE 1220, ISO/IEC 15288). Proficiency in modeling tools (e.g., SysML, MagicDraw, Cameo) and requirements management tools (e.g., DOORS, Jama). Excellent communication, documentation, and leadership skills. Skills: Demonstrated expertise in leading the development of state-of-the-art vision-based sensing algorithms and software solutions, particularly those compatible with ATAK, and experience deploying them for government agencies and commercial clients. Proven track record in researching and implementing advanced computer vision and machine learning models, with a focus on GUI-centric applications. Extensive experience in designing, developing, and implementing applications for autonomous systems, encompassing both prototype proof-of-concept and production-level software, with a strong emphasis on seamless ATAK integration. Adept at analyzing user needs and delivering tailored ATAK-centric solutions. Proficiency in collaboration with program managers to align with specification needs, with a specific focus on integrating ATAK capabilities. Skilled in collaborating effectively with fellow developers to design, optimize, and enhance ATAK-related code. Proficient in producing clear and informative flowcharts, diagrams, and user guides specific to ATAK-centric programs. Diligent in documenting programming tasks and procedures, with an emphasis on ATAK integration. Experience in verification and validation for systems and capabilities developed, particularly in the context of ATAK-centric solutions Ability to effectively handle stress and pressure consistent with the job duties and industry Ability to analyze user needs and develop solutions Proficient programming in at least one programming language (e.g., C, C++, Matlab, or Python), though proficiency in multiple languages is preferred Additional Requirement: You must have, or be eligible to obtain, a Department of Defense Secret clearance. You will be subject to government security investigations and must be able to access classified information. The inability to obtain a security clearance will result in you being ineligible for the position. Typical Working Environment: Work is performed indoors in an office setting; sitting at a desk and moving throughout the office space while performing work while in close proximity to others. Moderate noise levels consistent with an office environment; staff, phones, and collaborative dialogue. Equipment/Tools used: Computer, Keyboard, Phone, Printer/Copier, and other miscellaneous office equipment. Interaction/Supervision: Interact with all levels of staff and vendors. Physical Demands: Constantly (67%+): Sitting at a desk, working on a computer, using a keyboard and mouse. Frequently (34-66%): Repetitive hand motion, fine dexterity of hands. Hours of Work: This position will work the hours necessary to meet the needs of the business and to complete necessary job duties. May include work during days, evenings, nights, weekends, and holidays. Hourly employees are authorized and permitted to take all meal and rest breaks in accordance with company policy, see Employee Handbook.

Job Description Job Description Job Title: Network Engineer II Department: DCT Infrastructure Reports to: Senior Director of Infrastructure Employment Status: Exempt/Fulltime Location: Remote Travel - 30-40% About Applied Digital: At Applied Digital, we are the epicenter of AI innovation, crafting cutting-edge data center solutions tailored for the demands of high-performance computing. Designed from the ground up to support AI and machine learning workloads, our infrastructure is the backbone of tomorrow's technological advancements, including AI-driven video and generative platforms. We are: Forward-Thinkers: With a keen eye on current market trends and future innovations, we adapt swiftly and lead technological evolution. Resilient: We navigate complex challenges and emerge stronger, delivering robust and reliable solutions for industry pioneers. Innovative Designers: Leveraging the latest technologies, we create visionary solutions that redefine industry standards. At Applied Digital, we are committed to solving intricate problems, advancing business initiatives, maximizing operational efficiency, and reducing our carbon footprint. We are a team of resilient, forward-thinking innovators driving the AI revolution. Position Summary: We are seeking a skilled Enterprise Network Engineer II with professional-level knowledge (JNCIP-ENT, CCNP, or equivalent experience) to join our infrastructure team. This role requires a candidate that is willing to travel and have expertise in enterprise network operations, implementation, and support. The ideal candidate will bring firsthand experience with routing protocols, switching, firewalls, and a desire to grow their skills in network automation and advanced technologies. Key Responsibilities: Implement and maintain routing protocols including OSPF, BGP, and ISIS across the enterprise network Configure and support multi-vendor firewall platforms including Juniper and Fortinet. Deploy and manage Routing & Switching infrastructure from vendors including Juniper and Cisco Install, configure, and troubleshoot enterprise wireless networks to ensure reliable, secure Wi-Fi coverage for all users Troubleshoot network issues and collaborate with senior engineers to resolve complex problems Assist in the development and implementation of network automation Perform network changes following established change management procedures Monitor network performance and proactively identify potential issues Maintain accurate network documentation including diagrams, configurations, and procedures Participating in network projects and technology refresh initiatives Provide support during on-call rotation for critical infrastructure and occasional off-hours maintenance windows Basic Qualifications: JNCIP-ENT, CCNP, or equivalent professional-level certification, or demonstrable equivalent knowledge and experience at that level 5-7 years of firsthand experience implementing and supporting enterprise networks Solid understanding of OSPF, BGP, and ISIS routing protocols Experience configuring and troubleshooting enterprise firewalls (Juniper SRX, Fortinet) Working knowledge of switching technologies including MP-BGP EVPN, VXLAN, VLANs, spanning tree, and link aggregation Experience supporting enterprise Wi-Fi networks, with working knowledge of wireless standards, security protocols, and networking fundamentals. Experience with network monitoring and troubleshooting tools Strong analytical and critical thinking skills Strong work ethic Effective communication skills and ability to work effectively in a team environment Preferred Qualifications: Experience with Juniper and Cisco JNCIA, JNCIS-ENT, JNCIP-ENT Familiarity with network automation tools such as Mist, AWX, Python, Ansible, Security Director Cloud. Knowledge of SD-WAN technologies Experience with cloud networking (AWS, Azure, GCP) Understanding of data center networking concepts Familiarity with network monitoring platforms (DataDog, Zabbix, Splunk) Bachelor's degree in Computer Science, Information Technology, or related field Please note that Applied Digital is currently unable to sponsor new applicants for employment authorization or provide immigration-related support for this position. This includes, but is not limited to, visa categories such as H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1, O-1, and any Employment Authorization Documents (EADs) or other work authorizations that require employer sponsorship. Physical Requirements: Able to remain in a seated position for an extended period and to lift and carry up to 15 lbs. (office manuals, case notebooks, case files, case materials, standard boxes, report binders, etc.) as needed. The company has reviewed this job description to ensure that essential functions and basic duties have been included. It is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This document does not represent a contract of employment, and the company reserves the right to change this job description and/or assign tasks for the employee to perform, as the company may deem appropriate. This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents acknowledge that they possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. This document does not create an employment contract, implied or otherwise, other than an "at will" relationship. The company is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable.

Job Description Job Description About Agile Defense At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests. Requisition #: 1945 Job Title: Principal Network Engineer III Location: Pocatello, ID. Onsite with option for five days per week or four days per week if working 10 hours per day. Clearance Level: Top Secret Clearance Required with SCI Eligibility and ability to obtain and maintain a CI Polygraph Required Certification(s): Cisco CCNA within six months of starting role Job Description The Network Engineer will be responsible for the design, deployment, testing, certification, patching, and troubleshooting of all network features, components, interoperability and application dependencies across data center environments. This includes switches, firewalls, load balancers, software-defined networking, and private cloud infrastructure. This position is onsite in Pocatello, ID, and requires an active Top Secret clearance at the time of application. We are seeking an Enterprise-level Network Engineer with six or more years of experience. The successful candidate will have or be able to obtain a CCNA, with strong preference for experience in Cisco ACI, NSO, and other advanced Cisco data center technologies. Responsibilities Design, implement, and provide ongoing support for networking infrastructure within and between data centers. Serve as an advanced subject matter expert for all data center network environments. Create and maintain network infrastructure for both bare metal and virtual machines, including LAN, WAN, VLAN, SDN, firewall, and load balancer configurations using OEM and third party tools such as NSX. Provision and configure required networking for servers, applications, and cloud services. Evaluate, improve, and maintain information security across the data center network infrastructure. Monitor, diagnose, and correct network issues; develop recovery processes for failures and performance bottlenecks. Provide real time alerts and implement proactive remediation, including redesigns or technology refreshes. Install, configure, test, and maintain system management tools for all network components. Ensure the highest levels of network availability, performance, redundancy, and resilience. Monitor and test application performance; identify bottlenecks and collaborate with developers on solutions. Maintain comprehensive security, backup, and redundancy strategies. Develop and maintain automation scripts to improve operational efficiency, including automated provisioning of addresses and VLANs for IaaS. Participate in the design of information and operational support systems. Provide final tier support for complex network issues. Liaise with vendors and IT personnel for troubleshooting, upgrades, and solution design. Generate real time dashboards and reporting on network performance, availability, trends, and resource utilization. Maintain accurate and up to date technical documentation, including inventory, patch levels, system configurations, access controls, and credentials. Continually transition knowledge to government staff through training and best practice guidance. Education and Years of Experience Bachelor's degree 6 years of relavant experience Bachelor's degree preferred but one year of experience may be substituted for each year of education. Required Skills Active and current Top-Secret clearance required with SCI eligibility and ability to obtain and maintain a CI Polygraph Ability to pass and maintain a CI Polygraph during employment Cisco CCNA passed withing 6-months of start date Preferred Skills CCNP or DevNet Associate certificate Cisco ACI experience Multi Site Orchestrator (MSO) experience Network Assurance Engine (NAE) experience Network Services Orchestrator (NSO) experience Nexus Insights experience Digital Network Architecture Center (DNAC) experience In addition, Agile Defense invests in its employees beyond just compensation. Agile's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Learning and Development opportunities as well as other optional benefit elections. Our Core Values Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are. Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do. Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated. Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support. Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task. Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges. Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities 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 JOB TITLE: Manager, IP Network Services DIVISION: Buckeye Broadband DEPARTMENT: IP Services JOB SUMMARY: The Manager, IP Network Services, is responsible for the high-level success and overall day-to-day performance of the IP Network team. The Manager, IP Network Services is expected to understand the existing technical architecture, plus the overall technical vision for the IP-Data Network, and use it in overseeing the creation of executable plans and manageable timelines for each budget year. The Manager, IP Network Services, ensures projects and priorities align with the expectations of the relevant business units, maintains regular communication with project stakeholders, and ensures projects are completed on time and within budget. The Manager, IP Network Services coordinates activities for the IP Service department and manages operational events and outages. The Manager, IP Network Services reports directly to the Director, IP Services. Direct reports to the Manager, IP Network Services are: IP Network Services Engineer - I & II IP Operations Engineer - I & II The Manager, IP Network Services Interfaces with the following Key personnel: Buckeye Broadband Management team & staff, MaxxSouth management team & staff, Telesystem management team & staff, Equipment & Software vendors, and Large Enterprise Customers. ESSENTIAL JOB FUNCTIONS: The Manager, IP Network Services is accountable for the following functions for the business units served by Buckeye Broadband: Oversees the work of the IP Network Services team to ensure strict adherence to departmental standards for planned or unplanned project deliverables, project documentation, and project timelines based on existing priorities. Manages all IP Network Services project activity, allocates time, resources, and ensures that projects are completed on time and on budget. Manages both internal and external communication on all IP Network Services projects and ensures that all stakeholders are kept up to date on project status. Oversee schedules, sequences, and assignments for work activities, based on work priority and skill sets of personnel. Manage escalations into the IP Network Services team from other departments or divisions. Manages communication with various vendors/ manufacturers to ensure proper requisition of materials and supplies in support of planned projects. Monitors daily/weekly project KPI's and reports pertaining to active projects, resource allocations, and project timelines-this data is then used to maintain an understanding of where all projects stand with respect to planned completion. Communicates and ensures compliance with corporate, departmental or work policies, procedures, and service standards in conjunction with senior management. Manages the recruitment, interviewing, and selection of new employees for the IP Network team. Acquires and maintains a high-level, yet working knowledge of all equipment, systems, and software proposed or implemented by the department. Ensures that technical development for the IP Network Services team is aligned with departmental objectives and with industry standards. Participates in management on-call to give direction and provide input for the on-call engineer during outages or events. Handles executive escalations. Identifies gaps in employee skill sets and works to develop employees using both internal and external resources. Assist in building the Capital budget plan based on Business Unit direction, capacity growth & operational requirements, and departmental needs as part of the yearly budgeting process. Works with Lab R&D leadership to track lab activities relevant to IP Network Services projects and ensure alignment on priorities. Collaborates with HR, OD Specialist, and direct reports to develop and update an Individual Development Plan for continual improvement and personal accountability. Provides guidance and direction to subordinates, including setting performance standards and monitoring performance. Behaves ethically and influences to do the same. Consistently follows policies, procedures, and guidelines of the organization. Establishes self as a credible and trustworthy source for employees. Establishes vertical and horizontal relationships to achieve work activities. Follows and enforces the Company's policies and procedures, including the EEO guidelines and safety, at all times. Performs any miscellaneous duties as needed. JOB REQUIREMENTS: Education and Experience Associates degree from an accredited university with a major in Engineering, Telecommunications, Computer Science or other related technical degree and Five (5+) Years of related network and system design experience OR Seven (7+) years related network and system design experience - Required Demonstrable Project Management and group communication experience - Required Working understanding of the design and implementation of Service Provider network models and concepts - Required Working understanding of Service Provider routing and switching protocols (BGP, IS-IS, MPLS, RSVP, EVPN, STP, etc.) - Required Working understanding of IPv4 and IPv6 addressing - Required Advanced understanding and practical experience in leveraging Project Management tools (MS Project, Smartsheet, etc.) - Required Working understanding of IP Network security concepts including Firewalls, NAT implementations, and VPN based technologies - Required Working understanding of carrier grade equipment and application of: DWDM Muxes, Routers, Switches, Firewalls, etc. - Required Advanced understanding of the Atlassian software suite (Confluence, JIRA, Service Desk, Etc.) - Highly Preferred Working understanding of Automation & Orchestration concepts and implementations - Required Working understanding of Service Provider/ MSO access technologies (CMTS, GPON, Active Ethernet, Etc.) and associated provisioning systems - Required Core Competencies: Agile - Embraces change, adaptable and flexible, and sense of urgency. Innovative - Uses critical thinking, creativity, continuous learning, and challenges the status quo. Customer Focused - External/Internal, creates the exceptional customer experience, demonstrates a sales and service mentality. Collaborative - Teamwork, proactive knowledge sharing, constructive conflict. Accountable - See it, Own it, Solve it, Do it hold each other accountable. Job Specific Competencies: Develop Employees - Coach, empower, engage, mentor, and teach. Deliver Results - Strategic planning and execution, makes decisions in the best interest of the Company, knows and responds to the business climate, and manages ambiguity. Displays Leadership - Role model, communicates vision, possesses emotional maturity, manages risks, resiliency, and business acumen. Displays Technical Expertise - Keeps technical skills current, effectively applies specialized knowledge and skills to perform work tasks, understands and masters the technical skills, knowledge, and tasks associated with job, and shares technical expertise with others. Skills: Demonstrates effective project and planning skills. Demonstrates ability to conduct large-audience presentations. Demonstrated ability to present complex solutions. Demonstrated ability to execute Structured Project Management. Demonstrated ability to bring projects/assignments to completion within required time frames. Other Requirements: Background record that meets Company standards. Reliable means of transportation at all times. Strictly maintains confidentiality of financial and/or other information acquired in the course of work discloses only when authorized unless legally obligated to do so. Valid driver's license and driving record that meets company standards at all times. PHYSICAL DEMANDS Walking, kneeling, standing, stooping, sitting, driving, hearing, talking, vision (close, distant, color, depth perception, adjust focus), and use of hands and fingers. Light lifting of 50 lbs. is occasionally needed. WORKING CONDITIONS The Manager, IP Network Services is a full time, exempt position. The regular work hours are 8:00 a.m.-5:00 p.m., Monday - Friday. These hours may vary to accommodate the needs of the department. The Manager, IP Network Services reports to the Director, IP Services. The Manager, IP Network Services works in an automated business office environment with business office equipment including telephones, personal computers, copy machines, and FAX equipment. The Manager, IP Network Services is required to drive on the job as needed and is subject to regular MVR checks. He/she must maintain a valid driver's license and maintain a driving record the meets Company standards for an insurable driver at all times. Any time these conditions are not met, he/she must not drive on the job and must immediately report it to their Manager. The Company is a drug-free workplace. All employees are required to adhere to the Company's drug-free workplace programs and policies. Pre-employment testing is mandatory along with random testing throughout continued employment click apply for full job details

Job Description Job Description ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity's reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. SPACE SYSTEMS Rocket Lab's Space Systems division builds complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space including solar panels, flight software, star trackers, optical systems, separation systems, and radios. The Space Systems division has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. We have built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help get to space - our Space Systems division is empowering the boldest and most ambitious space missions. SENIOR MACHINE LEARNING ENGINEER II Rocket Lab Optical Systems solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance challenges for Department of Defense and Intelligence Community customers. Our vision is to revolutionize the space-based payload market with innovative and novel designs for space, terrestrial, and airborne environments. Building on more than 20 years of electro-optical and infrared systems innovation from Geost, Rocket Lab Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains. As a Senior Machine Learning Engineer II for Rocket Lab Optical Systems in Long Beach, CA, you will have the opportunity to support Tranche 3 of the U.S. Space Development Agency's (SDA) Proliferated Warfighter Space Architecture (PWSA) and beyond by building deep learning neural networks for advanced Electro-Optical (EO/IR) image processing. WHAT YOU'LL DO Develop computer vision algorithms and deep neural networks for image and video processing chains. Collaborate with other researchers/engineers on artificial intelligence, machine learning, and computer vision. Work with physics-based image simulation frameworks to scale training and validation data. Design, train, and deploy machine learning models for Optical Systems applications. Preform rapid prototyping and enhanced development to be integrated into operational systems. Perform troubleshooting, bug fixes, and maintenance of existing and new systems. Stay current with ML research and evaluate new tools, frameworks, and techniques. WHAT WE'RE LOOKING FOR IN A SENIOR MACHINE LEARNING ENGINEER II: Bachelor's degree and 8+ years of experience, master's degree or a Ph.D. in Computer Science, Electrical and Computer Engineering, Mechanical Engineering, Physics, or related field. Strong background in math and fundamentals of machine learning, including model selection, architecting, training, validation, testing, and deployment Experience in building deep learning neural networks (e.g., CNN) for computer vision, image processing, or analyses, e.g., object detection, image segmentation, and tracking) Strong math background, particularly linear algebra and optimization theory Proficiency in Python Experience with deep learning libraries (Keras, TensorFlow, Pytorch, etc) Software engineering fundamentals: version control, testing, CI/CD, containerization S. citizenship is required due to program requirements. Ability to obtain and maintain a U.S. Government Security Clearance. NICE TO HAVE: Proficiency in C/C++/Rust. Experience curating quality, real-world datasets for training deep learning models. TS/SCI security clearance. This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas. This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas. Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance. Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package , giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company. Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans, dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, 401(k) retirement plan with company match, and other discounts and perks. The expected salary range for the position is displayed in accordance with the state of Virginia's pay transparency requirements. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Total Compensation (base and equity) $130,000-$229,100 USD Base Salary $153,000-$204,000 USD WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here. Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Applicants requiring a reasonable accommodation for the application/interview process for a job in the United States should contact Giulia Johnson at dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply/interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days. FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY: For security reasons, background checks will be undertaken prior to any employment offers being made to an applicant. These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States' International Traffic in Arms Regulations. Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union, or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality. For more information on these Regulations, click here ITAR Regulations.

Job Description Job Description Key Responsibilities Analyze user requirements, concept of operations documents, and high-level system architectures to develop system requirements specifications. Lead system design and development activities and guide users in formulating requirements, evaluating alternative approaches, and conducting feasibility studies. Provide technical leadership for the integration of requirements, design, technology, and AI-enabled capabilities. Manage system and derived requirements to ensure production systems align with defined architectures, including DoDAF and service-oriented architecture. Develop and review systems engineering documentation, including Systems Engineering Plans, requirements specifications, Interface Control Documents, architecture documentation, and system integration and test plans. Provide technical direction for the development, engineering, interfacing, integration, and testing of complex hardware and software systems. Develop system architectures, concepts of operation, interface standards, technical assessments, and end-to-end flow analyses. Establish and maintain requirements traceability, configuration control, risk management, verification, and validation processes. Coordinate system integration activities across multiple teams and resolve technical issues requiring cross-discipline collaboration. Evaluate system design alternatives based on performance, lifecycle cost, reuse, complexity, risk, scalability, and mission needs. Communicate technical considerations, risks, issues, and recommendations to Government stakeholders, program personnel, and senior leadership. Ensure the technical integrity and quality of systems engineering work products and deliverables. Education/Experience: Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or a related technical discipline from an accredited college or university is required. Twenty (20) years of experience as a System Engineer supporting programs and contracts of similar scope, type, and complexity is required. Five (5) years of additional system engineering experience may be substituted in place of the degree. Required Skills Active TS/SCI clearance with Polygraph. Twenty (20) years of experience as a System Engineer on programs and contracts of similar scope, type, and complexity. Demonstrated experience planning and leading systems engineering efforts. Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or a related discipline from an accredited college or university. Five (5) years of additional systems engineering experience may be substituted for the bachelor's degree. Demonstrated professional experience supporting the design, development, integration, evaluation, or deployment of artificial intelligence or machine learning capabilities within complex systems. Experience across the systems engineering lifecycle, including requirements analysis, architecture, design, integration, testing, deployment, operations, and sustainment. Strong technical documentation, communication, and stakeholder coordination skills. Desired Skills Experience integrating AI/ML capabilities into mission systems or operational environments. Familiarity with AI/ML development lifecycles, model evaluation, data requirements, deployment considerations, or responsible AI practices. Experience supporting systems within the Department of Defense or Intelligence Community. Experience with DoDAF, service-oriented architecture, Model-Based Systems Engineering, requirements management, or system architecture tools. TS/SCI with polygraph is required. Job Posted by ApplicantPro

Job Description Job Description Who We Are: From Georgia. For Georgia. Since 1914 Yancey Bros. Co. has proudly served as the authorized Caterpillar equipment dealer for Georgia, providing our customers with the highest quality sales, parts and service. From Caterpillar heavy and compact construction equipment to on-highway trucks, we remain committed to learning more about our customers, offering equipment and support to keep up with their changing needs. This all starts with our greatest asset our employees. What You Will Be Doing: As the Systems Engineer, you will be responsible for the reliability, security, performance, and operational support of core infrastructure services including Windows Server, Active Directory, VMware, DNS, DHCP, DFS, Microsoft 365, Azure infrastructure, monitoring, backup, and related technologies. Primary Responsibilities: Deploy, configure, and maintain Azure IaaS resources including virtual machines, virtual networks, network security groups, load balancers, storage accounts, and related services. Support Azure monitoring, alerting, backup, disaster recovery, and governance using Azure Monitor, Log Analytics, Azure Backup, Azure Policy, RBAC, and tagging standards. Assist with Azure migration, modernization, and hybrid infrastructure initiatives, including support for Azure Arc and private connectivity where applicable. Administer Active Directory and Microsoft Entra ID, including users, groups, OUs, Group Policy, authentication services, and directory synchronization dependencies. Support MFA, Conditional Access, role-based access control, privileged access, and identity-related security controls. Troubleshoot authentication, access, Kerberos, DNS, and directory-related issues across cloud and on-premises systems. Deploy, patch, upgrade, monitor, and troubleshoot Windows Server environments, storage environments, network infrastructure, etc Administer DNS, DHCP, DFS, IIS, certificate services, file services, and other core infrastructure services. Maintain infrastructure documentation, standard operating procedures, diagrams, and configuration records. Administer VMware vSphere environments, including ESXi hosts, virtual machines, resource utilization, performance, and availability. Additional Responsibilities: Participate in required safety program, and work in a safe manner. Other duties as assigned by manager. Who We Are Looking For: To be successful in this position you should have previous experience supporting Microsoft Windows in an enterprise environment. You should also be experienced with automating solutions. Education/Experience: Bachelor's degree in Computer Science or related fields, Technical Certifications, or equivalent working experience Required Qualifications/Skills: 5+ years supporting an enterprise environment 3+ years managing Microsoft Intune / Endpoint Manager. Experience should include creating security, device compliance. 3+ years supporting Microsoft Windows in an enterprise environment to include patching and vulnerability management 3+ years automating solutions to remediate Windows vulnerabilities 3+ years PowerShell scripting and automation Values: At Yancey Bros. Co, we are always looking to add people to our team who share our core values: Safety: We value the lives and health of our team and customers above all else. Integrity: We are ethical and trustworthy, demonstrate respect for others, and communicate truthfully and promptly. Teamwork: We work as one across our organization for the benefit of our customers. Excellence: We strive to be the best, continuously improving our customers' experience and the solutions we provide. Sense of Urgency: We respond quickly to customer needs and hold ourselves accountable for results. Ideal candidates will demonstrate the following values: Acting in a safe manner Exhibiting honesty and integrity Acting in a fair and ethical manner Team mentality Delivering quality results Embraces change / improvement Exhibiting superior customer service skills Exhibiting pride and ownership Working with a sense of urgency Exhibiting a winning attitude What We Offer: Yancey Bros. Co. offers a full benefits package that includes aggressive compensation levels, technician tool allowances, full medical, vision and dental coverage, employee wellness programs, paid vacations and more. Competitive Pay Structure Competitive Compensation Individual Bonus Opportunities Available 401k Plan Strong Company Match Employee Profit Sharing Financial Wellness Coaching Employee Wellness Program Medical, Vision, Dental Insurance Prescription Drug Coverage Flexible Spending Accounts Short & Long Term Disability Group Life Insurance Personal Time Off Paid Holidays Paid Sick Leave Career Development Tuition Reimbursement Ongoing Training Advancement Opportunities