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Performance Monitoring Remote Jobs in Virginia (NOW HIRING)

VivSoft Technologies LLC

Program Manager

Herndon, VA · On-site +1

Remote Clearance Required: Secret Position Type: Full-Time About the company: At VivSoft, we aim to ... This role requires expertise in Agile delivery, risk management, and performance monitoring within ...

Kreative Technologies

Systems Engineer

Fairfax, VA · Remote

Remote (HQ: Fairfax, VA) Certification: Security+ (required or ability to obtain) Overview Kreative ... Provide technical support for system operations, including troubleshooting, performance monitoring ...

Kreative Technologies

Systems Engineer

Fairfax, VA · On-site +1

Remote (HQ: Fairfax, VA) Certification: Security+ (required or ability to obtain) Overview Kreative ... Provide technical support for system operations, including troubleshooting, performance monitoring ...

RIVA Solutions Inc.

Low Code AI Engineer

Reston, VA · Remote

$101.40K - $138.90K/yr

Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability ... performance monitoring, and incident response support. Partner with Data Engineers and platform ...

SAIC

Data Scientist

Springfield, VA · Remote

... and performance monitoring. * Policy and Communications Support: Assist in supporting Policy ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

RIVA Solutions Inc.

Low Code AI Engineer

Reston, VA · Remote

Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability ... performance monitoring, and incident response support. Partner with Data Engineers and platform ...

RIVA Solutions Inc.

Low Code AI Engineer

Reston, VA · Remote

Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability ... performance monitoring, and incident response support. Partner with Data Engineers and platform ...

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Performance Monitoring Remote information

What are the key skills and qualifications needed to thrive as a Performance Monitoring Remote professional, and why are they important?

To thrive as a Performance Monitoring Remote professional, you need strong analytical skills, understanding of system performance metrics, and often a background in IT or computer science. Familiarity with monitoring tools such as Nagios, Datadog, New Relic, or Splunk, as well as relevant certifications like CompTIA Network+ or AWS Certified Cloud Practitioner, is typically required. Excellent problem-solving abilities, attention to detail, and clear communication skills help you interpret data and collaborate with distributed teams. These skills ensure efficient system uptime, quick issue resolution, and optimal performance in remote environments.

What are some common challenges faced by professionals in a Performance Monitoring Remote role, and how can they be addressed?

In a Performance Monitoring Remote role, professionals often face challenges such as managing large volumes of data from multiple sources, maintaining consistent communication with on-site teams, and quickly identifying performance issues without physical access to equipment. To address these, it’s helpful to leverage robust monitoring tools, establish clear communication protocols, and prioritize proactive alerting and reporting systems. Regular virtual meetings and thorough documentation also support effective collaboration and timely issue resolution.

What is Performance Monitoring in a remote work setting?

Performance Monitoring in a remote work setting involves tracking and assessing employees' productivity, work quality, and overall effectiveness while they work from locations outside of a traditional office. This typically includes using digital tools to monitor key performance indicators, project progress, and communication patterns to ensure goals are being met. It helps managers provide feedback, identify areas for improvement, and maintain accountability among remote teams. Effective performance monitoring can enhance transparency and support both employee growth and organizational objectives.

What is the difference between Performance Monitoring Remote vs Network Monitoring Specialist?

AspectPerformance Monitoring RemoteNetwork Monitoring Specialist
Required CredentialsCertifications like CompTIA Network+, Cisco CCNA, or similarCertifications like CompTIA Network+, Cisco CCNA, or similar
Work EnvironmentRemote, often independent or team-basedPrimarily on-site or remote, focusing on network infrastructure
Industry UsageIT, tech companies, data centersTelecommunications, IT, enterprise networks
Common Search/ComparisonPerformance Monitoring Remote vs Network Monitoring Specialist

Performance Monitoring Remote and Network Monitoring Specialist roles share similar certifications and work environments, but Performance Monitoring Remote focuses on overall system performance, while Network Monitoring Specialists concentrate on network infrastructure. Both roles are vital in IT and tech industries, often overlapping in skills and tools used.

What are popular job titles related to Performance Monitoring Remote jobs in Virginia? For Performance Monitoring Remote jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Performance Monitoring Remote jobs in Virginia look for? The top searched job categories for Performance Monitoring Remote jobs in Virginia are:
What cities in Virginia are hiring for Performance Monitoring Remote jobs? Cities in Virginia with the most Performance Monitoring Remote job openings:
Performance Monitoring Remote jobs near you

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 15 days ago

Job description

Riverside Overview
Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.
Position Overview
Riverside Research's Cognitive Intelligence Solutions Group (CISG) is seeking a Remote Sensing Engineer to support cutting-edge geospatial intelligence, autonomous sensing, and AI/ML-driven data exploitation efforts for the U.S. Department of Defense and Intelligence Community. The successful candidate will serve as a technical lead responsible for the automated verification and validation (V&V), test and evaluation (T&E), and performance assessment of remote sensing data pipelines, AI/ML models, and third-party vendor capabilities. This role bridges rigorous scientific methodology with production-grade engineering, enabling CISG to deliver validated, mission-ready geospatial intelligence products. The ideal candidate combines deep expertise in multispectral and hyperspectral remote sensing with hands-on experience applying machine learning to operational geospatial workflows.
This position is located in Fairfax, VA.
#LI-Onsite
Responsibilities
  • Design, develop, and implement automated V&V and T&E frameworks to assess the accuracy, performance, and operational readiness of remote sensing data products, AI/ML models, and vendor-delivered geospatial capabilities.
  • Lead the technical evaluation of commercial and government remote sensing platforms, sensors (multispectral, hyperspectral, SAR, LiDAR), and associated data products against mission-specific requirements.
  • Develop and maintain scalable, production-grade machine learning pipelines for geospatial applications including change detection, land cover classification, object detection, and environmental monitoring.
  • Apply state-of-the-art AI/ML techniques - including deep learning, transfer learning, self-supervised learning, and large vision/language models - to automate remote sensing data exploitation and analysis workflows.
  • Conduct rigorous uncertainty quantification, validation metric development, and statistical performance benchmarking across multi-source, multi-temporal geospatial datasets.
  • Architect and execute data quality assessment (DQA) protocols for ingested satellite, airborne, and in-situ sensor data; document and communicate findings to program teams and stakeholders.
  • Collaborate with program managers, government customers, and interdisciplinary engineering teams to translate operational requirements into validated technical solutions.
  • Evaluate and integrate emerging remote sensing technologies and open-source AI/ML frameworks; assess vendor claims, algorithm documentation, and technical data packages.
  • Contribute to IRAD initiatives advancing CISG's remote sensing and autonomous sensing capabilities, including development of novel approaches for environmental monitoring, target detection, and geospatial change analytics.
  • Author technical reports, white papers, and briefings documenting methodology, V&V results, and performance findings for government sponsors.
  • Provide technical mentorship to junior engineers and researchers on remote sensing methods, ML best practices, and geospatial data science.
  • Stay current with advances in foundation models, multi-modal geospatial AI, and emerging remote sensing sensor modalities relevant to national security applications.

Qualifications
Required Qualifications:
  • Active U.S. Citizenship (required for all Riverside Research positions).
  • Must be able to obtain and maintain a Top Secret security clearance with SCI access; ability to obtain program-specific clearances as required. Candidates with an active TS/SCI are strongly preferred.
  • Bachelor's degree in Remote Sensing, Geospatial Science, Earth Systems, Electrical Engineering, Computer Science, or a closely related STEM field.
  • A minimum of 8 years of related experience with a Bachelor's degree, 6 years with a Master's degree, 3 years with a PhD, or equivalent combination of education and experience. Graduate research experience counts toward this threshold.
  • Demonstrated expertise in multispectral and/or hyperspectral remote sensing data analysis, including atmospheric correction, spectral indices, spectral unmixing, and feature extraction.
  • Proficiency in Python for geospatial data engineering, including experience with rasterio, rioxarray, xarray, GDAL, geopandas, NumPy, and scikit-learn.
  • Hands-on experience with machine learning and statistical modeling applied to remote sensing or geospatial datasets (e.g., classification, regression, anomaly detection, change detection).
  • Experience developing and executing V&V or T&E processes for data products, software systems, or AI/ML models, including design of test plans, performance metrics, and acceptance criteria.
  • Familiarity with geospatial platforms and tools: ArcGIS Pro, QGIS, ENVI, and/or Google Earth Engine.
  • Experience with cloud-based geospatial workflows (AWS, Google Cloud, or Azure) and version control practices (Git/GitLab/GitHub).
  • Strong written and verbal communication skills with demonstrated ability to present complex technical findings to both technical and non-technical audiences.

Desired / Preferred Qualifications:
  • Active Top Secret/SCI clearance - candidates who already hold an active TS/SCI will be given strong preference and can expect an accelerated onboarding timeline.
  • Experience supporting DoD, Intelligence Community, or national security remote sensing programs (NRO, NGA, AFRL, ARO, or equivalent).
  • Familiarity with hyperspectral sensing platforms (e.g., AVIRIS, PRISMA, orbital hyperspectral systems) and hyperspectral analytics pipelines including mineral characterization and vegetation health assessment.
  • Experience applying deep learning frameworks (PyTorch, TensorFlow, Hugging Face) to geospatial or computer vision tasks, including fine-tuning foundation models or geospatial FMs (e.g., Prithvi, SatMAE, Clay).
  • Background in SAR processing, LiDAR analysis, or multi-modal sensor fusion for environmental or intelligence applications.
  • Experience with automated testing frameworks, CI/CD pipelines, and MLOps practices for geospatial AI/ML systems.
  • Track record of peer-reviewed publication, conference presentations (e.g., IGARSS, AGU, SPIE), or technical reports in remote sensing or geospatial AI.
  • Demonstrated experience in a lead or senior individual contributor role, including mentorship of junior technical staff and coordination across multi-disciplinary teams.
  • Familiarity with GEOINT tradecraft, NSDI standards, or DoD geospatial data standards (NTM, NITF, STANAG imagery formats).

Global Comp
$115,000 - $200,000 This represents the typical compensation range for this position based on experience, location and other factors.
Closing Statement
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.

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