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Job Description Job Description Job Title: AV Technician Location: Washington, DC Type: Contract Compensation: $36.80 Work Model: Onsite Hours: 40.0 Security Clearance: Ability to obtain and maintain Public Trust (or higher if required) Overview This is an onsite Audio Visual (AV) and Video Teleconferencing (VTC) support role responsible for maintaining conference room technology, supporting live events, and ensuring seamless collaboration experiences across Microsoft Teams, Webex, and other AV platforms. Responsibilities Proactively inspect, configure, and maintain AV/VTC equipment in meeting rooms, auditoriums, and multipurpose rooms. Manage deployment, setup, and relocation of AV/VTC components to support operational and event requirements. Troubleshoot front-end AV/VTC hardware and software issues and restore services with minimal disruption. Perform routine readiness checks to ensure monitors, microphones, conference phones, and related room systems remain fully operational. Provide user-facing support for collaboration tools, including Webex and Microsoft Teams. Field and resolve user questions on AV/VTC usage, meeting startup, content sharing, and audio/video performance. Support conference and hybrid meeting connectivity and coordinate escalations for unresolved issues. Communicate service updates and usage guidance to end users to improve collaboration outcomes. Support production of live events, including town halls, commission meetings, and other high-visibility sessions. Execute live video/audio support activities and assist with webcast or streaming operations. Coordinate with internal stakeholders and third-party providers for services such as captioning and interpretation support. Perform post-production editing for recorded events and deliver high-quality final media outputs. Conduct training sessions on selection, use, and design of audiovisual materials and presentation equipment. Develop manuals, workbooks, and user-facing reference materials to support AV/VTC operations. Create practical job aids for common room technologies and collaboration workflows. Capture recurring issues and recommend process improvements to strengthen AV/VTC service delivery. Requirements Citizenship/Work Authorization: Must meet contract requirements. Clearance: Ability to obtain and maintain Public Trust (or higher if required). Education: Bachelor's degree in a relevant field (e.g., Information Technology, Computer Science, Engineering). Minimum of 5 years of experience providing front-end AV/VTC support in enterprise or government environments. Hands-on experience managing, deploying, and troubleshooting AV/VTC equipment. Demonstrated skills and knowledge to operate AV/VTC systems, including live broadcasts and post-production editing. AV/VTC system operation and troubleshooting across conference rooms, auditoriums, and multipurpose spaces. Webex and Microsoft Teams support for meetings and collaboration. Live broadcast, streaming/webcast support, and post-production video editing. End-user training delivery and development of manuals, texts, and workbooks. Preventive AV equipment management, issue triage, and service restoration. Experience supporting federal agency executive events, hearings, or public-facing broadcast sessions (preferred). AVIXA CTS certification (CTS-I or CTS-D preferred). Experience coordinating live captioning and sign-language interpretation support (preferred). Familiarity with ITSM/ticketing workflows (e.g., ServiceNow) and SLA-driven support in PWS-aligned environments (preferred). Experience with AV refresh, upgrade, and modernization efforts in secured environments (preferred). AVIXA CTS, CTS-I/CTS-D (preferred). Dante Level 1 or Level 2 when supporting Dante-based audio transport environments (preferred). System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details

Tried reaching out to you regarding this position. Please take a look JD below and let me know your thoughts. Client- Lawrence Livermore National Lab One day Onsite to the Livermore Office Job Description We have an opening for a Senior Software Engineer supporting the Environmental Information Management System (TEIMS) application suite used by the Environment, Safety and Health (ESH) Directorate and the Environmental Restoration Department (ERD). As a senior software engineer, you will play a vital role in keeping LLNL employees and our environment safe. You will be responsible for performing break/fix support of applications within TEIMS used to support operations and environmental decision making by ESH and ERD, such as environmental sample planning, chain of custody tracking, data management, data analysis, and data visualization. This position is in the Enterprise Application Services (EAS) Division within the Computing Directorate. This position offers a hybrid schedule, blending in-person and virtual presence. You will have the flexibility to work from home one or more days per week. The specifics of the hybrid schedule, including the exact number of days required in the office and virtual work options may vary based on the needs of the team and the organization. You Will: Maintain existing web applications using modern technologies, languages, and frameworks, such as Perl, Python, Django, JavaScript, Oracle, and Docker. Responsible for managing development efforts through all phases of the software development lifecycle, including design, implementation, testing, and deployment of bug fixes within the Perl and Python codebases. Engage with environmental, safety and health subject matter experts to understand stakeholder needs and define software requirement specifications. Develop software tools to automate the processing, analysis, and archival of environmental, safety and health data. Manage work activities with business leads using tools such as Atlassian Jira and Confluence. Perform other duties as assigned. Qualifications: Bachelor's degree in computer science or a related field, or the equivalent combination of education and related experience. Significant experience developing software as part of a multi-disciplinary team incorporating the software development life cycle using methodologies such as Agile and/or Scrum. Advanced full-stack software development, including front-end web languages and frameworks (e.g., HTML, CSS, JavaScript, KendoUI, and Django) and back-end programming languages (e.g., Perl, Python and SQL). Significant experience interacting and working with relational database management systems such as Oracle. Significant experience proposing and implementing solutions to complex problems that may not be well defined. Advanced verbal and written communication skills necessary to effectively collaborate in a team environment including multi-disciplinary and multi-organization teams, and to interact with stakeholders on a variety of technical issues including mid-level management. Desired Qualifications Exceptional relationship building, collaboration, and communication skills with a proven ability to engage with customers to develop software system requirements. One of the following: Significant experience developing applications to manage or analyze environmental data. Experience modernizing legacy application codebases using modern approaches, languages, and technologies. Nice to have Experience developing hybrid mobile applications using frameworks such as Ionic.

Senior Lead AI Engineer (Gen AI Platform Services: Distributed Systems) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity . click apply for full job details

Archivist IV - Scientific and Technical Information (Classified Collections) NASA Langley Research Center - Hampton, VA (on-site) Secret clearance required Take your career to new heights. Come join us at MORI Associates and help us support the most exciting projects at NASA. As an Archivist IV you will be part of a dedicated team of diverse professionals creating and supporting cutting-edge solutions for our client's critical missions. MORI is a mid-sized nationwide company founded in 1997 with the ideals that creating an agile organization full of innovative and passionate people will progress science and technology for all life on earth. We focus on offering a complete range of services from strategic consulting to the development of Information Systems and providing advanced engineering solutions. Now, let's see if this opportunity is the right challenge for you. Position Summary: The Archivist is responsible for categorizing, organizing, collecting, maintaining, and dispositioning both newly created data and legacy scientific and technical information collections. This role ensures proper stewardship of classified materials by applying strict security protocols and adhering to all applicable federal policies, regulations, and standards for records retention, storage, access control, and disposition. Key Responsibilities: Categorize, organize, and manage new data and legacy collections containing scientific and technical information in both digital and physical formats. Apply standardized archival practices to ensure data integrity, accessibility, preservation, and long-term usability. Identify, classify, and properly label collections in accordance with federal classification guidelines and agency-specific security requirements. Implement and monitor safeguard measures for classified information, including controlled access, secure storage environments, and proper handling protocols. Maintain comprehensive documentation and metadata to support traceability, compliance, and audit readiness. Ensure all archival processes comply with governmental policies and regulations governing classified materials, scientific and technical records, and mandatory records-retention schedules. Coordinate secure transfer, declassification review, or approved destruction of records based on authorized disposition instructions. Collaborate with program offices, security personnel, and records management officials to ensure consistent compliance with federal archival standards. Evaluate collections for historical, operational, or long-term scientific value to support retention decisions. Support inspections, audits, and reporting activities related to classified records, archival management, and information security. Required Qualifications: At least 5 years of relevant experience Must hold a Secret Clearance Demonstrated knowledge of both physical and digital archives, electronic records management, metadata standards and digital preservation practice. Demonstrated knowledge of the federal records lifecycle. including disposition schedules and compliance frameworks. Experience working with classified materials and understanding of required protective measures (e.g., access controls, secure handling, storage, transmission requirements). Ability to apply governmental policies governing STI, records management, and classification. Strong attention to detail, organizational skills, and ability to manage complex collections. Good oral and written communications Preferred Qualification Master's degree in library and information science from an ALA accredited program with a concentration in information science, archives management, or digital curation Salary range is: $80 to $87K MORI is an EEO/AA/Disability/Vets Employer and complies with E-Verify. Powered by JazzHR Compensation details: 0 Yearly Salary PI3ea0e09af6-

Job Description Job Description Proconex is the exclusive Emerson Impact Partner for Emerson Automation Solutions in the Mid-Atlantic region. We provide a full portfolio of Process Automation Control Systems, Valves and Control Devices, and related technologies and services to a range of customers-in the Life Sciences, Chemical, Power, Refining, Oil & Gas, Food & Beverage, Paper, Metals, and other industries, as well as commercial enterprises and campus facilities. With three strategically located offices, Proconex maintains a deep dedication to its 200+ employees, a sharp focus on safety and quality, and the drive to deliver. Systems Engineer - Emerson DeltaV Proconex is seeking a Systems Engineer with Emerson DeltaV experience to provide day-to-day support for automation systems within a pharmaceutical manufacturing environment. This is a customer-facing role where you'll work directly with operations, engineering, maintenance, and quality teams to troubleshoot issues, support system changes, and help ensure reliable manufacturing operations. Responsibilities Support Emerson DeltaV systems in a regulated manufacturing environment Troubleshoot automation and controls issues impacting production Configure and modify DeltaV control modules, graphics, equipment modules, and batch systems Support change controls, upgrades, testing, and implementation activities Partner with site personnel to maintain system performance and reliability Represent Proconex as a trusted onsite technical resource Qualifications 3+ years of Emerson DeltaV experience Life sciences, pharmaceutical, biotech, or regulated manufacturing experience Strong troubleshooting and problem-solving skills Experience supporting manufacturing operations and production systems Excellent communication and customer-facing skills Preferred DeltaV Batch experience DeltaV Live experience Emerson training or certification Experience with validation, MES, or OSI PI Join Proconex and help support critical manufacturing systems that make life-changing products possible. We are proud to be an employee-owned organization. Through our ESOP, every team member shares in the growth and success of the company, fostering a culture of collaboration, accountability, and long-term rewards. Proconex offers a standout culture, fantastic work environment, and has very competitive benefits to include premium medical, 401K match, tuition reimbursement, and other unique incentives. When receiving e-mails from a Proconex or Valspec recruiter, you will only receive e-mails from addresses ending in Any other domains are impersonations and should be ignored. Candidates must be legally eligible to work in the United States without company sponsorship. Also, we are not interested in working on a corp-to-corp basis with other companies at this time. Any third-party unsolicited resume submission(s) will immediately become the property of Proconex. Proconex will not pay any fee to a submitting employment agency, person, or entity unless a signed agreement is established. Proconex is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, sexual orientation, gender identity, disability, protected veteran status or any other protected class. We are committed to providing a professional environment free of any discrimination or harassment, and we are proud to be a Drug-Free Workplace.

Job Description Job Description Pay Rate: The annual base salary range for this position is $94,160-117,700. Please note that the salary information is a general guideline only. At Sawdey Solution Services, we recognize that attracting the best talent is key to our strategy and success as a company. We will consider several factors when extending an offer to an applicant. These factors include (but are not limited to) the position, associated responsibilities, work experience, education, related training, and related skills. Position Location: Fort Liberty, NC Telework/Work-from-Home Authorized: Yes - When Authorized/Hybrid About the Role: The Tactical Systems Engineer - Mid provides on-site technical and analytical support to USASOC Ground units in support of mission planning, execution, and post-mission activities. This role ensures the operational readiness and availability of classified and unclassified mission planning systems supporting combat and contingency special operations. The engineer will administer mission planning environments, provide GIS and geospatial support, maintain secure and non-secure networks within planning facilities, and deliver user training to operational personnel. Success in this position requires experience operating within classified DoD environments, supporting time-sensitive operational timelines, and enabling mission planning capabilities in dynamic and high-demand settings. Administer and maintain classified and unclassified mission planning systems, including installation, configuration, updates, system imaging, testing, and end-user support. Provide GIS, mapping, and imagery support by managing geospatial datasets, performing geo-registration, maintaining map servers, and producing mission-specific digital map products. Manage and troubleshoot secure and non-secure LAN environments within mission planning facilities, performing diagnostics, fault isolation, and remediation. Support mission planning system setup and teardown for exercises and operational deployments. Integrate hardware and software updates, perform configuration management, and conduct operational testing to ensure system readiness and compatibility. Deliver user training and technical instruction using a train-the-trainer methodology; develop training materials and conduct both formal and informal sessions. Maintain high system availability aligned with operational timelines and unit readiness requirements. Travel domestically and internationally in support of operational and training missions occasionally on short notice. Additional Responsibilities Include, but are not Limited To: Assist with proposal development, as required. Perform other duties as assigned. Required Experience: Minimum of five (5) years, within the last eight (8) years, supporting Special Operations Forces (Special Forces Group, Civil Affairs, MISO, Ranger Regiment, or equivalent SOF organization). Minimum five (5) years of experience supporting mission planning computer systems, communications systems, mission equipment, and unit mission planning for peacetime and wartime special operations. Minimum seven (7) years of total experience supporting DoD mission planning environments, navigation systems, or operational planning systems. Experience supporting classified and unclassified communications systems and mission equipment. Working knowledge of LAN administration, including troubleshooting switches, network connectivity, and domain-based environments. Experience supporting GIS, mapping, or imagery-based mission planning tools. Experience performing system imaging, configuration management, and mission system setup/teardown procedures. Familiarity with the assigned component's tactical Standard Operating Procedures (SOP) and mission guides. Desired / Preferred Experience: Experience applying DoD cybersecurity policies, including STIG implementation and RMF-aligned compliance requirements. Experience administering Windows-based mission planning systems within SIPRNET and NIPRNET environments. Experience supporting USASOC, Special Forces Groups, or other SOF ground units. Familiarity with customer-specific mission planning and execution applications. Experience supporting TAK (ATAK/WinTAK/TAKServer) in ground mission planning environments. Experience supporting ISR integration, geospatial data feeds, or sensor-enabled mission planning tools. Experience providing field support during operational deployments or exercises. Familiarity with virtualization technologies (VMware, Hyper-V). Experience producing custom digital cartographic products for operational use. Working knowledge of Linux operating systems. Experience with MANET networks. Education Requirements: Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical discipline; OR Technical School certification related to computer systems; OR equivalent combination of technical training and operational experience directly aligned to mission planning support duties. Certificate, License, and Registration Requirements: Required: DoD 8570/8140 IAT Level II certification (e.g., Security+ CE) must be obtained within six (6) months of hire if not already held. Highly Desired / Preferred: A+ CE, CCNA - Security, Network+, or SSCP. Other Required Skills & Abilities: Strong written and verbal communication skills and ability to interface directly with government stakeholders. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). Ability to develop cross-domain proficiency across Operations, Intelligence warfighting functions, and Tactical Mission Planning domains to support surge and crisis response requirements. Security Clearance Requirements: Secret Clearance but be eligible for Top Secret/SCI Clearance US Citizenship Requirements: This position supports a U.S. Government Contract whose terms require Sawdey Solution Services to staff it only with U.S. Citizens.

Incumbents in this position serve as senior leaders in the Engineering Department and provide strategic and technical leadership, direction, and oversight for assigned Engineering divisions. The Chief Engineer ensures effective infrastructure planning, project delivery, development coordination, asset management, geographic information systems, sustainability, regulatory compliance, and fiscal stewardship, as applicable to the assigned divisions. Specific areas of responsibility are determined by the Engineering Director based on organizational needs. This position is assigned to pay grade R38. The allocation of functions among Chief Engineers may vary based on assigned divisions and organizational needs. Provides strategic and technical leadership for assigned Engineering divisions, ensuring alignment with CFPUA's mission, priorities, policies, and values. Establishes division goals, work programs, procedures, and performance measures; monitors results and initiates corrective action as needed. Oversees workforce planning, work assignments, employee development, performance management, and succession planning within assigned divisions. Develops and administers operating and capital budgets, contracts, procurements, and expenditures for assigned divisions. Coordinates across Engineering divisions and other CFPUA departments to integrate planning, project delivery, asset management, GIS, sustainability, and development services. Oversees utility master planning, the ten-year Capital Improvement Plan, engineering studies, capacity evaluations, and planning for growth, service extensions, and infrastructure resiliency. Oversees the identification, prioritization, and delivery of capital improvement and rehabilitation and replacement projects, including procurement, design, permitting, construction, budget, schedule, quality, and closeout. Oversees asset management programs, including asset condition and risk assessments, rehabilitation and replacement needs, recurring repair programs, and related cross-functional initiatives. Oversees GIS, utility-system records, hydraulic modeling, capacity-management tools, technical standards, and related data systems. Oversees sustainability programs, including energy efficiency, emissions reduction, resource conservation, resiliency, performance tracking, and integration of lifecycle and environmental considerations into organizational decisions. Oversees developer-built infrastructure, development and utility agreements, property matters, service-area consolidations, infrastructure extensions, and delegated regulatory permitting functions. Ensures regulatory compliance and promotes safe and environmentally responsible design and construction practices. Coordinates with customers, developers, consultants, contractors, government agencies, elected officials, community organizations, and other stakeholders; oversees or assists with grant applications, reports, recommendations, and presentations. May act as Engineering Director in the director's absence and promotes accountability, collaboration, and employee development. This position is a member of the organization management team and is responsible for demonstrating and holding others accountable to the CFPUA values. This position is required to work in partnership with their own department and all other CFPUA departments toward achieving organizational goals. This position is responsible for creating a culture of belonging and inclusion. This position works in partnership with the Human Resources department to ensure staff completes all relevant employment training. This position is responsible for ensuring compliance with all CFPUA policies and procedures. This position works in partnership with the Human Resources department to ensure compliance with federal and state employment law. Exercises a purchasing authority up to $1,000 without approval from supervisor. Performs other related job duties as assigned. In the event of an emergency, all employees are considered essential personnel and may be required to perform alternate duties. Bachelor's degree in engineering, project management, or related course study. Master's degree in engineering or project management, or related course study is preferred. Seven (7) years of professional engineering work experience in a managerial role such as an assistant engineering director, assistant project director, or related work field. Requires Professional Engineer certification. Other Essential Job Specifications YES NO Use interpersonal skills such as seeing, hearing, and speaking to develop positive interactions with customers. X Comprehends and uses technical or professional language, either written or spoken, to communicate complex ideas. X Performs numerical operations using basic counting, adding, subtracting, multiplying, or dividing. X Performs complex quantitative calculations or reasoning using algebra, geometry, statistics, or abstract symbols. X Requires travel between CFPUA sites. X Use or repair small/light equipment (power tools). X Use or repair medium equipment and machinery (vehicles, commercial mowers). X Use or repair heavy or complex machinery (HVAC systems, construction equipment, water plants). X Physical Requirements: None: 0 hours or 0% of scheduled shift Some: Up to 2 hours or 20% of scheduled shift Frequent: 2 to 5 hours or 20% to 60% of scheduled shift Very Frequent: More than 5 hours or 60% to 100% of scheduled shift NONE SOME FREQUENT VERY FREQUENT Minimal physical exertion. Very light physical work at desk or counter level with intermittent periods of sitting, standing, and walking. May involve data entry, telephone work, or use of various office equipment. X Same as above with the addition of standing/sitting/walking for lengthy periods of time. May involve light physical exertion due to pushing, pulling, carrying, and lifting weights up to 20 pounds. X Physical exertion involving pushing, pulling, and lifting up to 20 pounds. May require prolonged standing and/or walking during which time objects are transported. May require occasional bending, squatting, and reaching. X Sustained physical activity throughout the work period. Performs work tasks involving pushing, pulling, carrying, and lifting up to 50 pounds. May require bending, squatting, stooping, reaching, climbing, or walking in addition to other physical demands. X Physical exertion throughout the work period. Performs work tasks involving pushing, pulling, carrying, and lifting varying weights up to 50 pounds, and more than 50 pounds with assistance. May require bending, squatting, stooping, reaching, climbing, or walking in addition to other physical demands. X Compensation details: 00 Yearly Salary PIbec0eaeed79b-5303

Job Description Job Description The Information Management Specialist is responsible for the development, implementation, administration, and continuous improvement of the organization's Information Management System (IMS). This position is tasked to establish an effective information management framework that ensures organizational information is managed securely, efficiently, and in compliance with applicable legal, regulatory, and business requirements. The support staff will design, implement, and maintain the organization's Information Management Plan (IMP), integrating governance, records management, information security, data quality, compliance, and technology into a comprehensive management system that supports organizational objectives. The Information Management Specialist is responsible for implementing and maintaining the following core components of the Information Management Plan under the guidance of the SSC lead and the Federal sponsor within the Standards and Records work center: Information Management Strategy Develop and maintain the organization's Information Management Plan. Define the scope, objectives, and strategic direction for information management. Ensure the Information Management Plan aligns with organizational goals and operational requirements. Information Governance Establish and maintain an Information Governance Framework. Develop policies, standards, procedures, and governance structures. Define roles, responsibilities, and accountability for information management across the organization. Information Lifecycle Management Design and implement processes governing the creation, storage, access, maintenance, archiving, retention, and disposal of information. Ensure lifecycle management practices comply with legal, regulatory, and operational requirements. Data Classification and Information Architecture Develop and maintain information classification standards. Establish metadata, categorization, and tagging methodologies. Ensure information is organized according to sensitivity, business value, and legal obligations. Information Security and Privacy Collaborate with security and privacy stakeholders to ensure appropriate safeguards protect organizational information. Implement controls that support confidentiality, integrity, availability, and privacy compliance. Support compliance with applicable privacy legislation and organizational security policies. Data Quality Management Develop processes to improve and maintain data accuracy, completeness, consistency, reliability, and timeliness. Monitor data quality metrics and recommend corrective actions where required. Information Systems Management Identify and support the implementation of systems, applications, and technologies that facilitate effective information management. Ensure information systems support governance, security, records management, and operational requirements. Recommend system enhancements and process improvements. Records Management Develop and administer the organization's records management program. Establish retention schedules and disposition procedures. Ensure records are maintained, preserved, and disposed of in accordance with legal and business requirements. Compliance and Regulatory Management Monitor applicable legislation, regulations, standards, and industry best practices. Ensure organizational information management practices remain compliant. Coordinate audits and support compliance reporting activities. Training and Organizational Awareness Develop and deliver education and awareness programs relating to information management. Promote organizational understanding of policies, procedures, and employee responsibilities. Provide guidance and support to business units implementing information management practices. Monitoring, Reporting, and Continuous Improvement Monitor the effectiveness of the Information Management System. Conduct regular reviews and assessments of policies, procedures, and controls. Develop performance measures and recommend improvements to strengthen the Information Management Program. Documentation and Standards Develop and maintain documentation supporting the Information Management System, including standards, procedures, templates, and a comprehensive glossary of information management terminology. MINIMUM QUALIFICATIONS Clearance Required: Have or ability to obtain and maintain U.S. Department of Energy Q-level security clearance Bachelor's degree in Information Science, Library Science, Records Management, Archival Studies, Business Administration, or a related field. 5+ Years related experience in records and information management. Knowledge of records management principles, practices, and technologies. Experience with electronic document management systems. Strong organizational, analytical, and problem-solving skills. Excellent collaboration, influencing and interpersonal skills. Ability to work independently and as part of a growing team in an ambiguous and evolving work environment. PREFFERED QUALIFICATION Active TS/Q Clearance Master's degree in Library and Information Science (MLIS), Information Management, or related field. Certified Records Manager (CRM) or Information Governance Professional (IGP). A strong understanding of information management technologies such as database management systems, content management systems, search engines, and data analytics tools. Prior experience in supporting the assessment and development of government records programs in the areas of national security, homeland security, nuclear/radiological security, or related field. Knowledge of U.S. Department of Energy records guidelines and best practices. LOCATION: This position is full-time on site Buena Vista NM SALARY: Salaries are determined based on several factors including external market data, internal equity, and the candidate's related knowledge, skills, and abilities for the position. BENEFITS Employer-paid employee Medical, Dental and Vision Care. Low-Cost Family Health Care offered. Federal Holidays and three (3) weeks' vacation 401(k) with Employer Match Cross-training opportunities Company Description With over 300 employees and offices in Rockville, MD, Washington, DC, and Albuquerque, NM, MELE is a veteran-owned government contractor empowering its customers with innovative solutions for more than three decades. MELE has team members located across the U.S. and has served more than a hundred countries across hundreds of project locations. The company offers technical, engineering, and programmatic support expertise to a host of U.S. federal and international agencies, including, but not limited to, the Department of Energy, the Department of Defense, the Department of Homeland Security, the Department of Justice, INTERPOL, and the International Atomic Energy Agency. MELE's services include national security, intelligence, IT/cybersecurity, facility management and engineering, CBRNE defense and nuclear security, emergency response training/management, and mission and program support. MELE Associates, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment. MELE Associates, Inc. is an E-Verify employer. Company Description With over 300 employees and offices in Rockville, MD, Washington, DC, and Albuquerque, NM, MELE is a veteran-owned government contractor empowering its customers with innovative solutions for more than three decades. MELE has team members located across the U.S. and has served more than a hundred countries across hundreds of project locations. The company offers technical, engineering, and programmatic support expertise to a host of U.S. federal and international agencies, including, but not limited to, the Department of Energy, the Department of Defense, the Department of Homeland Security, the Department of Justice, INTERPOL, and the International Atomic Energy Agency. MELE's services include national security, intelligence, IT/cybersecurity, facility management and engineering, CBRNE defense and nuclear security, emergency response training/management, and mission and program support. MELE Associates, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment. MELE Associates, Inc. is an E-Verify employer.