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Logging Jobs in Silver Spring, MD (NOW HIRING)

Actalent

Test Technician

Reston, VA

$30 - $32/hr

Enter logger information and preliminary diagnostic findings into the TTS system to support service workflows. * Create SAV service orders based on received equipment and documented diagnostic ...

FHR

Security Architect - Consultant 9309

Washington, DC · Remote

$66.50 - $86/hr

... logging and reporting systems 5+ years of experience and expertise in automation development using tools such as Python and Bash 5+ years of experience with Linux, Windows, network security protocols ...

Agile Defense

Splunk Architect Lead

Reston, VA · Hybrid

$175K - $225K/yr

Maintain compliance with logging standards, federal mandates, and Zero Trust visibility requirements. Drive modernization initiatives, including automation, cloud logging integrations, and data ...

Fuse Engineering LLC

DevOps Engineer

Fort George G Meade, MD · On-site

$58.50 - $80.25/hr

Description The DevOps Engineer delivers automation, integration, and software engineering support for enterprise IT monitoring, logging, and security platforms. This role bridges development and ...

Fuse Engineering LLC

DevOps Engineer

Fort George G Meade, MD · On-site

$58.50 - $80.25/hr

Description The DevOps Engineer delivers automation, integration, and software engineering support for enterprise IT monitoring, logging, and security platforms. This role bridges development and ...

Essnova Solutions, Inc.

Microsoft SME

Washington, DC · On-site

Support SIEM integration, security logging, and Microsoft Sentinel operations * Troubleshoot complex endpoint and systems engineering issues * Develop technical standards, engineering procedures, and ...

Essnova Solutions, Inc.

Microsoft SME

Washington, DC · On-site

Support SIEM integration, security logging, and Microsoft Sentinel operations * Troubleshoot complex endpoint and systems engineering issues * Develop technical standards, engineering procedures, and ...

Essnova Solutions, Inc.

Microsoft SME

Washington, DC · On-site

Support SIEM integration, security logging, and Microsoft Sentinel operations * Troubleshoot complex endpoint and systems engineering issues * Develop technical standards, engineering procedures, and ...

Jobtailor

Reliability Engineer

Reston, VA · On-site

$140 - $190/hr

Ensure that everything that goes to production complies with a set of general requirements like diagrams, dependencies of other services, monitoring and logging plans, backups and possible high ...

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Showing results 21-40

All JobsLogging JobsLogging Jobs in Silver Spring, MD

Logging information

See Silver Spring, MD salary details

$11

$32

$68

How much do logging jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for logging in Silver Spring, MD is $32.40, according to ZipRecruiter salary data. Most workers in this role earn between $19.91 and $34.66 per hour, depending on experience, location, and employer.

What is a logging job?

As a logger, your job is to cut down trees and get the logs ready to transport. This frequently includes helping trim and delimb each fallen tree, determining which trees are suitable for use as timber, and doing other forestry work as needed. Logging often requires the use of specialized equipment and machinery, including cranes, boats, and chainsaws, and loggers usually take on several roles to get the job done. Some details of this job vary based on factors like where you work and what sort of wood you're cutting down. You are also responsible for ensuring forests are appropriately managed and cut in a way that guarantees the longevity of the area.

What is a logging job?

Logging jobs involve the process of cutting down trees, transporting the timber, and processing it for use in industries such as construction, paper, and furniture manufacturing. Workers in logging may include loggers, equipment operators, truck drivers, and supervisors. These roles require operating heavy machinery, maintaining safety standards, and working outdoors in various weather conditions. Logging jobs are physically demanding and often located in remote forested areas.

What skills and qualifications are needed to thrive as a logging worker?

To thrive as a Logging Worker, you need physical stamina, mechanical aptitude, and a basic understanding of forestry practices, often supported by a high school diploma or equivalent. Familiarity with chainsaws, logging machinery, and safety systems, as well as completion of safety training or certification programs, is typically required. Attention to detail, teamwork, and a strong commitment to safety are vital soft skills in this hazardous environment. These skills ensure efficient timber harvesting while minimizing accidents and environmental impact.

What are common challenges faced by logging professionals, and how can they be addressed?

Logging professionals often encounter challenges such as working in remote or rugged terrain, adhering to strict safety regulations, and dealing with unpredictable weather conditions. These challenges can be managed by using specialized equipment, participating in regular safety training, and maintaining clear communication with team members. Additionally, staying updated on best practices and environmental guidelines helps ensure sustainable and efficient logging operations.

What is the difference between Logging vs Forestry Worker?

AspectLoggingForestry Worker
Required CredentialsHigh school diploma, safety certifications, equipment operation trainingHigh school diploma, safety certifications, environmental knowledge
Work EnvironmentForests, logging sites, heavy machineryForests, conservation areas, outdoor settings
Industry UsagePrimary role in timber harvestingSupporting roles in forest management and conservation

Logging involves the active cutting and harvesting of trees, often using heavy machinery, while forestry workers support forest management, conservation, and reforestation efforts. Both roles require safety certifications and outdoor work, but logging is more focused on timber extraction, whereas forestry workers focus on sustainable practices and environmental protection.

Do loggers make a lot of money?

Logging is a physically demanding job that can offer competitive wages, especially for experienced workers or those working in remote areas. However, salaries vary widely depending on location, experience, and the scale of logging operations, with median pay often below other skilled trades. Certifications and safety training can improve earning potential in this field.

How much do you get paid for logging?

Logging workers typically earn an average hourly wage ranging from $15 to $25, depending on experience, location, and the complexity of the work. Salaries can vary based on whether the position is seasonal or year-round, and additional skills such as operating heavy machinery may influence pay rates.
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Logging jobs near you
Infographic showing various Logging job openings in Silver Spring, MD as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $67,394 per year, or $32.4 per hour.

Artificial Intelligence Cybersecurity Engineer

Entarian

Arlington, VA • On-site

Full-time

Re-posted 22 days ago

Job description

We are seeking a skilled Artificial Intelligence Cybersecurity Engineer to join our team and ensure the seamless deployment, monitoring, and optimization of AI models in production. 

Sev1Tech is seeking an AI Integration Engineer to integrate AI models into production systems, ensuring robust performance, real-time monitoring, and secure operations. The AI Integration Engineer will bridge the gap between AI model development and production systems, integrating models into applications, APIs, and infrastructure. This role focuses on building dashboards for real-time and historical model health, detecting data drift, and managing AI logging, while ensuring secure-by-design practices and alignment with business objectives. 

Key Responsibilities 

  • Model Integration: Integrate AI/ML models into applications (e.g., web, mobile, IoT) using APIs (REST, gRPC) and platforms like TensorFlow Serving or AWS SageMaker. 
  • Dashboard Development: Create real-time and historical dashboards using Grafana, Kibana, or Plotly to monitor model health (e.g., latency, accuracy) and data drift. 
  • Drift and Health Monitoring: Implement monitoring pipelines with tools like Evidently AI or Weights & Biases to detect data drift and model degradation, triggering alerts as needed. 
  • Logging and Tracing: Set up logging systems with ELK Stack, OpenTelemetry, or LangSmith to capture AI events, errors, and traces for debugging and auditing. 
  • Security Implementation: Apply secure-by-design principles to protect models and data from vulnerabilities (e.g., adversarial attacks, data leakage) using tools like Adversarial Robustness Toolbox (ART). 
  • System Optimization: Optimize model inference for performance (e.g., via quantization, edge deployment) and ensure compatibility with cloud (AWS, Azure) or on-premises infrastructure. 
  • Collaboration: Partner with data scientists to understand model requirements, DevOps for infrastructure alignment, and stakeholders for reporting needs. 
  • Testing and Validation: Perform end-to-end testing of AI integrations, including stress testing and validation of dashboard metrics. 
  • Compliance: Ensure integrations comply with regulations like GDPR, HIPAA, or NIST AI RMF for secure data handling. 

    • Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field. 
    • Experience: 
    • 4+ years in software engineering or AI integration, with experience deploying AI models in production. 
    • Hands-on experience with dashboarding tools (e.g., Grafana, Kibana) and observability platforms (e.g., Prometheus, Datadog). 
    • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for AI deployment. 
    • Technical Skills: 
    • Proficiency in Python; knowledge of JavaScript, C++, or Go is a plus for UI or system-level integration. 
    • Experience with containerization (Docker, Kubernetes) and API development (REST, GraphQL). 
    • Expertise in logging frameworks (e.g., ELK Stack, OpenTelemetry) and visualization tools (e.g., Plotly, Chart.js). 
    • AI-Specific Skills: 
    • Understanding of AI model metrics (e.g., F1 score, latency) and drift detection techniques (e.g., PSI, KS test). 
    • Knowledge of AI vulnerabilities (e.g., prompt injection, model inversion) and mitigation strategies (e.g., differential privacy, ART). 
    • Soft Skills: 
    • Strong problem-solving skills for debugging integration issues and optimizing dashboards. 
    • Excellent communication to translate technical metrics into business insights. 
    • Collaboration skills to work across data science, DevOps, and product teams.
    • *Must be eligible to obtain a Department of Homeland Security EOD clearance (Requirements 1. US Citizenship, 2. Favorable Background Investigation) 
  •  

    • Experience with LLM-specific tools like LangSmith or Helicone for monitoring generative AI applications. 

    Apply