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Prometheus Jobs in Virginia (NOW HIRING)

Senior ML Observability Engineer

Falls Church, VA · On-site

$111K - $153K/yr

... Prometheus, Grafana, Elastic, Splunk, Amazon CloudWatch, and service mesh telemetry components to deliver real-time visibility into model behavior, cross-domain access interactions, and pipeline ...

Experience implementing observability and monitoring using Prometheus, Grafana, or the ELK stack * Experience optimizing backend performance and implementing caching (Redis, Memcached)

Platform Engineer - AWS Cloud

Richmond, VA · On-site

$55.25 - $73.75/hr

Experience with observability tools like CloudWatch, Prometheus, Grafana, Elastic, or Datadog. * Understanding of security frameworks, compliance, and cloud best practices. Preferred: * AWS ...

Senior Python Developer

Chantilly, VA · On-site

$131K - $237K/yr

Experience with system monitoring, introspection, and visualization technologies (Grafana, Prometheus, ELK stack) * Experience with GitLab CI/CD * Experience working in an Agile Scrum development ...

Prometheus/Alertmanager and CloudWatch. • Demonstrated experience integrating and deploying diverse software systems: AWS cloud services, open-source applications, COTS/GOTS products, and custom ...

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Prometheus information

See Virginia salary details

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How much do prometheus jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for prometheus in Virginia is $20.87, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $17.16 per hour, depending on experience, location, and employer.

What is the difference between Prometheus vs Grafana Developer?

AspectPrometheusGrafana Developer
Primary RoleMonitoring and alerting system configurationDashboard and visualization development
Required SkillsPromQL, server setup, metrics collectionGrafana, data sources, visualization design
Work EnvironmentDevOps, monitoring infrastructureData visualization, front-end development
CertificationsNone specific, familiarity with monitoring toolsGrafana certifications beneficial

Prometheus and Grafana Developer roles often overlap in monitoring and visualization. Prometheus focuses on metrics collection and alerting, while Grafana Developers specialize in creating dashboards for data visualization. Both roles are essential in DevOps environments but serve different functions within the monitoring ecosystem.

What jobs pay $2000 a day?

High-paying jobs that can earn $2000 or more per day typically include specialized roles such as senior corporate executives, certain medical specialists, high-level consultants, and successful entrepreneurs. These positions often require extensive experience, advanced skills, and sometimes significant risk or investment. Compensation varies based on industry, location, and individual performance.

Which 3 jobs will survive AI?

Prometheus, as a job title, is not a recognized role; generally, jobs that require complex human judgment, creativity, and emotional intelligence—such as healthcare professionals, skilled tradespeople, and creative roles—are more likely to survive AI automation. These roles often involve tasks that are difficult for AI to replicate, especially when combined with specialized training and certifications.

What is a Prometheus job?

A Prometheus job refers to a configuration in the Prometheus monitoring system that defines a set of targets to scrape metrics from, such as servers or applications. It specifies parameters like job name, scrape interval, and target endpoints, enabling effective data collection for system monitoring and alerting. Knowledge of Prometheus configuration files and metrics collection is essential for managing such jobs.

What are some common challenges faced by Prometheus monitoring engineers, and how can they be addressed?

Prometheus monitoring engineers often face challenges related to scaling the system to handle large volumes of metrics data and optimizing query performance. Dealing with high cardinality metrics and managing storage efficiently can also be complex. These challenges can be addressed by carefully designing label schemas, employing federation or sharding, and using long-term storage integrations. Collaboration with development and operations teams is key to ensure effective instrumentation and alerting, which helps maintain system reliability and performance.

What jobs pay 10,000 a month without a degree?

Prometheus-related roles such as data analyst, cloud engineer, or cybersecurity specialist can pay $10,000 or more per month without a formal degree, often requiring strong technical skills, certifications, and experience. High-paying tech jobs typically emphasize skills and practical knowledge over formal education, especially in fields like IT, software development, and network security.

What are Prometheus engineers?

Prometheus engineers are IT professionals who specialize in deploying, configuring, and maintaining Prometheus, an open-source systems monitoring and alerting toolkit. They design and implement monitoring solutions for infrastructure, applications, and services using Prometheus and its ecosystem (like Grafana for visualization). Their responsibilities include setting up metrics collection, writing queries, tuning alerts, and ensuring high availability and scalability of monitoring setups. Prometheus engineers often work closely with DevOps teams to provide observability and actionable insights for system reliability.

What are the key skills and qualifications needed to thrive as a Prometheus Monitoring Engineer, and why are they important?

To thrive as a Prometheus Monitoring Engineer, you need a solid understanding of systems administration, networking, and monitoring concepts, often supported by experience in DevOps or Site Reliability Engineering roles. Proficiency in Prometheus, Grafana, alerting tools, and infrastructure-as-code platforms, as well as familiarity with cloud services and container orchestration systems like Kubernetes, is essential. Strong problem-solving skills, attention to detail, and effective communication help you proactively address issues and collaborate with diverse technical teams. These skills ensure the reliability, scalability, and optimal performance of critical IT infrastructure.
What are popular job titles related to Prometheus jobs in Virginia? For Prometheus jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Prometheus jobs in Virginia look for? The top searched job categories for Prometheus jobs in Virginia are:

DevOps Engineer - TS/SCI w/ Poly required

Leading Path Consulting

Chantilly, VA

$54 - $74/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Job description

* Active TS/SCI w/ FS Poly REQUIRED

Support a team specializing in designing, engineering, implementation, development and maintenance of enterprise quality mission systems, networks, and applications - DevOps position

Mandatory Skills

Demonstrated experience implementing and managing Cl/CD pipelines (Jenkins required)
Strong proficiency with Infrastructure as Code tools: Terraform (required)
Demonstrated experience with AWS services including EC2, S3, RDS, Lambda, VPC, 1AM, CloudWatch, and other core services
Demonstrated experience with containerization (such as Docker and Pod man)
Strong scripting proficiency: Bash (required) and Python (required)
Experience with database self-hosting including installation, configuration, backup/recovery, high availability, and performance tuning (PostgreSQL and MySQL)
Hands-on experience with monitoring, logging, and alerting systems such as Prometheus/Alertmanager and CloudWatch
Demonstrated experience integrating and deploying diverse software systems: AWS cloud services, open-source applications, COTS/GOTS products, and custom applications
Strong understanding of networking, security, 1AM policies, and AWS architecture best practices
Experience with Git-based workflows, branching strategies, and version control best practices

Optional Skills

Experience deploying and managing data platform components: Apache Spark, Tri no, Apache Ranger, Apache Iceberg, Apache Superset, data catalogs
Familiarity with data lakehouse architectures and supporting infrastructure
Experience with secrets management solutions (AWS Secrets Manager, Parameter Store)
Knowledge of disaster recovery, backup strategies, and continuity planning
Familiarity with API gateways and modern microservices patterns
Experience with cost optimization practices in AWS
Background deploying and supporting Al/ML workloads or model serving infrastructure
Experience mentoring team members on DevOps and cloud best practices
Experience with NoSQL databases (DynamoDB, MongoDB, etc.)
Familiarity with additional monitoring tools (Grafana, ELK stack)
Experience integrating customer's Enterprise services

Requirements

Mandatory Skills

Demonstrated experience implementing and managing Cl/CD pipelines (Jenkins required)
Strong proficiency with Infrastructure as Code tools: Terraform (required)
Demonstrated experience with AWS services including EC2, S3, RDS, Lambda, VPC, 1AM, CloudWatch, and other core services
Demonstrated experience with containerization (such as Docker and Pod man)
Strong scripting proficiency: Bash (required) and Python (required)
Experience with database self-hosting including installation, configuration, backup/recovery, high availability, and performance tuning (PostgreSQL and MySQL)
Hands-on experience with monitoring, logging, and alerting systems such as Prometheus/Alertmanager and CloudWatch
Demonstrated experience integrating and deploying diverse software systems: AWS cloud services, open-source applications, COTS/GOTS products, and custom applications
Strong understanding of networking, security, 1AM policies, and AWS architecture best practices
Experience with Git-based workflows, branching strategies, and version control best practices

Optional Skills

Experience deploying and managing data platform components: Apache Spark, Tri no, Apache Ranger, Apache Iceberg, Apache Superset, data catalogs
Familiarity with data lakehouse architectures and supporting infrastructure
Experience with secrets management solutions (AWS Secrets Manager, Parameter Store)
Knowledge of disaster recovery, backup strategies, and continuity planning
Familiarity with API gateways and modern microservices patterns
Experience with cost optimization practices in AWS
Background deploying and supporting Al/ML workloads or model serving infrastructure
Experience mentoring team members on DevOps and cloud best practices
Experience with NoSQL databases (DynamoDB, MongoDB, etc.)
Familiarity with additional monitoring tools (Grafana, ELK stack)
Experience integrating customer's Enterprise services

Benefits

Leading Path is an award-winning Information Technology and Management Consulting firm focused on providing solutions in process, technology, and operations to our government and Fortune 500 clients. We offer a professional and family friendly work environment with a strong work-life balance. Leading Path provides a comprehensive and competitive benefits package including fully paid medical/dental/vision premiums, generous PTO, 11 Paid Holidays, 6% 401K contribution, annual training and tuition reimbursement, SPOT Award bonuses, regular team events, opportunities for professional growth and advancement and much more!