MLOps Engineer
Arlington, VA · On-site
Logging and Tracing : Set up centralized logging with ELK Stack or OpenTelemetry to capture AI inference events, errors, and audit trails for debugging and compliance. * Pipeline Automation : Develop ...
MLOps Engineer
Arlington, VA · On-site
Logging and Tracing : Set up centralized logging with ELK Stack or OpenTelemetry to capture AI inference events, errors, and audit trails for debugging and compliance. * Pipeline Automation : Develop ...
Logging and Tracing : Set up centralized logging with ELK Stack or OpenTelemetry to capture AI inference events, errors, and audit trails for debugging and compliance. * Pipeline Automation : Develop ...
Logging and Tracing : Set up centralized logging with ELK Stack or OpenTelemetry to capture AI inference events, errors, and audit trails for debugging and compliance. * Pipeline Automation : Develop ...
Cloud Architect
Reston, VA · On-site
$176K - $332K/yr
Establish standardized "landing zone" practices, including account structure, guardrails, logging, tagging, and cost controls. * Build and maintain Terraform modules and reusable IaC patterns for AWS ...
Cloud Architect
Reston, VA · On-site
$176K - $332K/yr
Establish standardized "landing zone" practices, including account structure, guardrails, logging, tagging, and cost controls. * Build and maintain Terraform modules and reusable IaC patterns for AWS ...
Cloud Architect
Reston, VA · On-site
$176K - $332K/yr
Establish standardized "landing zone" practices, including account structure, guardrails, logging, tagging, and cost controls. * Build and maintain Terraform modules and reusable IaC patterns for AWS ...
Cloud Architect
Reston, VA · On-site
$176K - $332K/yr
Establish standardized "landing zone" practices, including account structure, guardrails, logging, tagging, and cost controls. * Build and maintain Terraform modules and reusable IaC patterns for AWS ...
MLOps Engineer
Arlington, VA · On-site
Logging and Tracing : Set up centralized logging with ELK Stack or OpenTelemetry to capture AI inference events, errors, and audit trails for debugging and compliance. * Pipeline Automation : Develop ...
MLOps Engineer
Arlington, VA · On-site
Logging and Tracing : Set up centralized logging with ELK Stack or OpenTelemetry to capture AI inference events, errors, and audit trails for debugging and compliance. * Pipeline Automation : Develop ...
Cloud Architect
Reston, VA · Hybrid
$176K - $332K/yr
Establish standardized "landing zone" practices, including account structure, guardrails, logging, tagging, and cost controls. * Build and maintain Terraform modules and reusable IaC patterns for AWS ...
Cloud Architect
Reston, VA · Hybrid
$176K - $332K/yr
Establish standardized "landing zone" practices, including account structure, guardrails, logging, tagging, and cost controls. * Build and maintain Terraform modules and reusable IaC patterns for AWS ...
Cloud Architect with Security Clearance
Reston, VA · On-site
$176K - $332K/yr
Establish standardized "landing zone" practices, including account structure, guardrails, logging, tagging, and cost controls. * Build and maintain Terraform modules and reusable IaC patterns for AWS ...
Cloud Architect with Security Clearance
Reston, VA · On-site
$176K - $332K/yr
Establish standardized "landing zone" practices, including account structure, guardrails, logging, tagging, and cost controls. * Build and maintain Terraform modules and reusable IaC patterns for AWS ...
MLOps Engineer
Arlington, VA · On-site
Logging and Tracing : Set up centralized logging with ELK Stack or OpenTelemetry to capture AI inference events, errors, and audit trails for debugging and compliance. * Pipeline Automation : Develop ...
MLOps Engineer
Arlington, VA · On-site
Logging and Tracing : Set up centralized logging with ELK Stack or OpenTelemetry to capture AI inference events, errors, and audit trails for debugging and compliance. * Pipeline Automation : Develop ...
CyberSecurity Auditor
Chantilly, VA · On-site
Identify and troubleshoot logging gaps, misconfigurations, or failures directly on Linux systems (e.g., auditd, rsyslog, custom logging services). Provide log extracts, audit trails, and evidence ...
CyberSecurity Auditor
Chantilly, VA · On-site
Identify and troubleshoot logging gaps, misconfigurations, or failures directly on Linux systems (e.g., auditd, rsyslog, custom logging services). Provide log extracts, audit trails, and evidence ...
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 ...
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 ...
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 ...
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 ...
Logging and Tracing : Set up centralized logging with ELK Stack or OpenTelemetry to capture AI inference events, errors, and audit trails for debugging and compliance. * Pipeline Automation : Develop ...
Logging and Tracing : Set up centralized logging with ELK Stack or OpenTelemetry to capture AI inference events, errors, and audit trails for debugging and compliance. * Pipeline Automation : Develop ...
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 ...
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 ...
MLOps Engineer
Arlington, VA · On-site
Logging and Tracing : Set up centralized logging with ELK Stack or OpenTelemetry to capture AI inference events, errors, and audit trails for debugging and compliance. * Pipeline Automation : Develop ...
MLOps Engineer
Arlington, VA · On-site
Logging and Tracing : Set up centralized logging with ELK Stack or OpenTelemetry to capture AI inference events, errors, and audit trails for debugging and compliance. * Pipeline Automation : Develop ...
Project Engineer
Richmond, VA · On-site
Manage the RFI process including creation of RFIs, submission, logging, tracking, hyperlinking, and distribution to the project team. * Provide support for the documentation of site meetings.
Project Engineer
Richmond, VA · On-site
Manage the RFI process including creation of RFIs, submission, logging, tracking, hyperlinking, and distribution to the project team. * Provide support for the documentation of site meetings.
Implement monitoring, logging, and alerting solutions to ensure system performance and uptime. * Automate infrastructure and operational workflows using scripting and configuration management tools.
Implement monitoring, logging, and alerting solutions to ensure system performance and uptime. * Automate infrastructure and operational workflows using scripting and configuration management tools.
Linux-Cloud Engineer
Fairfax, VA · Hybrid
Implement monitoring, logging, and alerting solutions to ensure system performance and uptime. * Automate infrastructure and operational workflows using scripting and configuration management tools.
Linux-Cloud Engineer
Fairfax, VA · Hybrid
Implement monitoring, logging, and alerting solutions to ensure system performance and uptime. * Automate infrastructure and operational workflows using scripting and configuration management tools.
Implement monitoring, logging, and alerting solutions to ensure system performance and uptime. * Automate infrastructure and operational workflows using scripting and configuration management tools.
Implement monitoring, logging, and alerting solutions to ensure system performance and uptime. * Automate infrastructure and operational workflows using scripting and configuration management tools.
Python Developer (Remote Position)
Reston, VA · On-site
$52.25 - $72/hr
Writing robust error-handling & logging mechanisms in scripts. * Solid understanding of networking concepts (TCP/IP, DNS, HTTP, SNMP, ports, firewalls). * Old-net stuff: SMBv1/NTLM, FTP/SFTP, proxies ...
Quick apply
Python Developer (Remote Position)
Reston, VA · On-site
$52.25 - $72/hr
Writing robust error-handling & logging mechanisms in scripts. * Solid understanding of networking concepts (TCP/IP, DNS, HTTP, SNMP, ports, firewalls). * Old-net stuff: SMBv1/NTLM, FTP/SFTP, proxies ...
Linux-Cloud Engineer
Fairfax, VA · On-site
$57 - $76.25/hr
... logging, and alerting solutions to ensure system performance and uptime. • Automate infrastructure and operational workflows using scripting and configuration management tools. • Apply ...
Linux-Cloud Engineer
Fairfax, VA · On-site
$57 - $76.25/hr
... logging, and alerting solutions to ensure system performance and uptime. • Automate infrastructure and operational workflows using scripting and configuration management tools. • Apply ...
Logging information
See Virginia salary details
$11.22 - $16.13
14% of jobs
$18.83 is the 25th percentile. Wages below this are outliers.
$16.13 - $21.04
21% of jobs
The median wage is $25.13 / hr.
$21.04 - $25.95
19% of jobs
$25.95 - $30.86
19% of jobs
$32.50 is the 75th percentile. Wages above this are outliers.
$30.86 - $35.77
9% of jobs
$35.77 - $40.68
0% of jobs
$40.68 - $45.59
1% of jobs
$45.59 - $50.50
4% of jobs
$50.50 - $55.41
3% of jobs
$55.41 - $60.32
7% of jobs
$60.32 - $65.23
3% of jobs
$11
$30
$65
How much do logging jobs pay per hour?
As of Aug 18, 2026, the average hourly pay for logging in Virginia is $30.81, according to ZipRecruiter salary data. Most workers in this role earn between $18.94 and $32.96 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?
| Aspect | Logging | Forestry Worker |
|---|---|---|
| Required Credentials | High school diploma, safety certifications, equipment operation training | High school diploma, safety certifications, environmental knowledge |
| Work Environment | Forests, logging sites, heavy machinery | Forests, conservation areas, outdoor settings |
| Industry Usage | Primary role in timber harvesting | Supporting 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.
More about Logging jobs
What are the most commonly searched types of Logging jobs in Virginia?
The most popular types of Logging jobs in Virginia are:
What are popular job titles related to Logging jobs in Virginia?
For Logging jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Logging jobs in Virginia look for?
The top searched job categories for Logging jobs in Virginia are:
What cities in Virginia are hiring for Logging jobs?
Cities in Virginia with the most Logging job openings:
Full-time
Re-posted 12 days ago
Job description
Overview/ Job Responsibilities
Job Summary
We are seeking a skilled MLOps Engineer to join our team and ensure the seamless deployment, monitoring, and optimization of AI models in production.
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI-related logging. This role will involve building scalable infrastructure and dashboards for real-time and historical insights, ensuring models are secure, performant, and aligned with business needs.
Key Responsibilities
Minimum Qualifications
Qualifications
Desired Qualifications
Preferred Qualifications
About Us
Formed through the strategic union of Sev1Tech and ERT, Entarian is a premier provider of mission-critical engineering and technology solutions. Founded on a legacy of excellence dating back to 1993, Entarian is a product of an evolved and fully diversified engineering and federal technology leader. From deep space to defense and civilian missions, Entarian delivers secure, mission-aligned digital solutions that drive national resilience and operational effectiveness. We don't just support modernization; we define it.
Join the Mission and Start your Career Journey: Apply Directly via our Careers Portal Connect, Referrals & Inquiries? Email the team: careers@entarian.com
Entarian is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Job Summary
We are seeking a skilled MLOps Engineer to join our team and ensure the seamless deployment, monitoring, and optimization of AI models in production.
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI-related logging. This role will involve building scalable infrastructure and dashboards for real-time and historical insights, ensuring models are secure, performant, and aligned with business needs.
Key Responsibilities
- Model Deployment: Deploy and manage machine learning models in production using tools like MLflow, Kubeflow, or AWS SageMaker, ensuring scalability and low latency.
- Monitoring and Observability: Build and maintain dashboards using Grafana, Prometheus, or Kibana to track real-time model health (e.g., accuracy, latency) and historical trends.
- Data Drift Detection: Implement drift detection pipelines using tools like Evidently AI or Alibi Detect to identify shifts in data distributions and trigger alerts or retraining.
- Logging and Tracing: Set up centralized logging with ELK Stack or OpenTelemetry to capture AI inference events, errors, and audit trails for debugging and compliance.
- Pipeline Automation: Develop CI/CD pipelines with GitHub Actions or Jenkins to automate model updates, testing, and deployment.
- Security and Compliance: Apply secure-by-design principles to protect data pipelines and models, using encryption, access controls, and compliance with regulations like GDPR or NIST AI RMF.
- Collaboration: Work with data scientists, AI Integration Engineers, and DevOps teams to align model performance with business requirements and infrastructure capabilities.
- Optimization: Optimize models for production (e.g., via quantization or pruning) and ensure efficient resource usage on cloud platforms like AWS, Azure, or Google Cloud.
- Documentation: Maintain clear documentation of pipelines, dashboards, and monitoring processes for cross-team transparency.
Minimum Qualifications
Qualifications
- Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
- Experience:
- 5+ years in MLOps, DevOps, or software engineering with a focus on AI/ML systems.
- Proven experience deploying models in production using MLflow, Kubeflow, or cloud platforms (AWS SageMaker, Azure ML).
- Hands-on experience with observability tools like Prometheus, Grafana, or Datadog for real-time monitoring.
- Technical Skills:
- Proficiency in Python and SQL; familiarity with JavaScript or Go is a plus.
- Expertise in containerization (Docker, Kubernetes) and CI/CD tools (GitHub Actions, Jenkins).
- Knowledge of time-series databases (e.g., InfluxDB, TimescaleDB) and logging frameworks (e.g., ELK Stack, OpenTelemetry).
- Experience with drift detection tools (e.g., Evidently AI, Alibi Detect) and visualization libraries (e.g., Plotly, Seaborn).
- AI-Specific Skills:
- Understanding of model performance metrics (e.g., precision, recall, AUC) and drift detection methods (e.g., KS test, PSI).
- Familiarity with AI vulnerabilities (e.g., data poisoning, adversarial attacks) and mitigation tools like Adversarial Robustness Toolbox (ART).
- Soft Skills:
- Strong problem-solving and debugging skills for resolving pipeline and monitoring issues.
- Excellent collaboration and communication skills to work with cross-functional teams.
- Attention to detail for ensuring accurate and secure dashboard reporting.
- Must be eligible to obtain a Department of Homeland Security EOD clearance ( Requirements 1. US Citizenship, 2. Favorable Background Investigation)
Desired Qualifications
Preferred Qualifications
- Experience with LLM monitoring tools like LangSmith or Helicone for generative AI applications.
- Knowledge of compliance frameworks (e.g., GDPR, HIPAA) for secure data handling.
- Contributions to open-source MLOps projects or familiarity with X platform discussions on #MLOps or #AIOps.
About Us
Formed through the strategic union of Sev1Tech and ERT, Entarian is a premier provider of mission-critical engineering and technology solutions. Founded on a legacy of excellence dating back to 1993, Entarian is a product of an evolved and fully diversified engineering and federal technology leader. From deep space to defense and civilian missions, Entarian delivers secure, mission-aligned digital solutions that drive national resilience and operational effectiveness. We don't just support modernization; we define it.
Join the Mission and Start your Career Journey: Apply Directly via our Careers Portal Connect, Referrals & Inquiries? Email the team: careers@entarian.com
Entarian is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.