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Datadog Jobs in Washington (NOW HIRING)

Probity Inc.

VG Cloud Solutions Architect

Chantilly, VA · On-site

$67.25 - $85.50/hr

... Datadog, Cloudwatch). • Basic proficiency with Ruby on Rails, Bash, and Python. • Demonstrated experience with creating and updating procedures, and providing briefings/demos to users and ...

Mind Ware Inc

DevOps Engineer

Reston, VA · On-site

$55 - $75.25/hr

... Datadog, or Splunk. • Familiarity with networking, security, SSL, DNS, and load balancing concepts. • Experience with version control systems and branching strategies.

New

Network Designs Inc.

Cloud/Platform Engineer

Washington, DC · On-site

$63.25 - $84.25/hr

Implement and maintain enterprise observability solutions (Datadog, Splunk, Prometheus, CloudWatch)Define and monitor SLIs/SLOs to ensure system reliability and performanceSupport high availability ...

Staffingine LLC

Senior Consultant

Bethesda, MD · On-site

AWS EKS * Logging/monitoring tools (ELK, Datadog, Splunk, CloudWatch) * CloudFormation / IaC exposure Roles & Responsibilities * Design, develop, and maintain scalable backend and front-end ...

Adidev Technologies

DevOpsEngineer

Washington, DC

$59.50 - $81.50/hr

I mplement monitoring, logging, and observability solutions (Prometheus, Grafana, ELK, Datadog). * E mbed DevSecOps practices into pipelines and infrastructure. * E nsure high availability, disaster ...

Leidos

Cloud Architect / Engineer

Mount Rainier, MD · On-site

$131K - $237K/yr

Set up and maintain monitoring, logging, and observability solutions using tools like CloudWatch, Azure Monitor, Google Operations, Datadog, Prometheus/Grafana, or ELK stack. * Support disaster ...

Govcio LLC

AI Ops Engineer

Arlington, VA · On-site

$220K - $240K/yr

Experience using observability tools such as Splunk, Datadog, Dynatrace, and New Relic * Expertise in ServiceNow ITOM for IT operations management * Advanced Python scripting skills for automation ...

Govcio LLC

AI Ops Engineer

Arlington, VA · On-site

$220K - $240K/yr

Experience using observability tools such as Splunk, Datadog, Dynatrace, and New Relic * Expertise in ServiceNow ITOM for IT operations management * Advanced Python scripting skills for automation ...

Leidos

Cloud Architect / Engineer

Washington, DC · On-site

$131K - $237K/yr

Set up and maintain monitoring, logging, and observability solutions using tools like CloudWatch, Azure Monitor, Google Operations, Datadog, Prometheus/Grafana, or ELK stack. * Support disaster ...

ActioNet

EOC Agent (Evening Shift)

Suitland, MD · On-site

$50/hr

Monitor enterprise infrastructure using Datadog, SolarWinds, ServiceNow, and other enterprise monitoring platforms. Coordinate incident bridge calls, engage appropriate support teams, and facilitate ...

Leidos

Cloud Architect / Engineer

Glenn Dale, MD · On-site

$131K - $237K/yr

Set up and maintain monitoring, logging, and observability solutions using tools like CloudWatch, Azure Monitor, Google Operations, Datadog, Prometheus/Grafana, or ELK stack. * Support disaster ...

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How much do datadog jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for datadog in Washington is $23.91, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $23.94 per hour, depending on experience, location, and employer.

What is the difference between Datadog vs Cloud Monitoring Engineer?

AspectDatadogCloud Monitoring Engineer
Primary RoleMonitoring and analytics platform for IT infrastructure and applicationsDesigning, implementing, and managing cloud monitoring solutions
Required SkillsCloud platforms, monitoring tools, scripting, API integrationCloud services, monitoring tools, scripting, troubleshooting
CertificationsCloud certifications (AWS, Azure), monitoring tools certificationsCloud certifications (AWS, Azure), monitoring certifications
Work EnvironmentUsing SaaS platform, integrating with various cloud and on-premise systemsManaging cloud infrastructure, configuring monitoring tools, troubleshooting

While both roles involve cloud monitoring, Datadog focuses on utilizing a specific SaaS platform for analytics and monitoring, whereas a Cloud Monitoring Engineer designs and manages monitoring solutions across cloud environments. The roles often overlap in skills and certifications, but their core responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a Datadog engineer?

To thrive as a Datadog Engineer, you need a solid understanding of cloud infrastructure, monitoring and observability principles, and experience with scripting or programming languages. Familiarity with Datadog’s platform, API integrations, and certifications such as Datadog Certified Technical Specialist are highly valuable. Strong problem-solving skills, attention to detail, and effective communication help you proactively address system issues and collaborate with cross-functional teams. These skills ensure efficient system monitoring, rapid incident response, and reliable service performance in dynamic technology environments.

What are some common challenges faced by Datadog engineers when implementing monitoring solutions for large-scale systems?

Datadog engineers often encounter challenges such as integrating diverse technology stacks, ensuring minimal performance impact, and maintaining data accuracy across high-traffic environments. Large-scale systems can generate vast amounts of telemetry data, so configuring efficient dashboards and alerting without causing alert fatigue is vital. Collaborating closely with development, operations, and security teams is essential to tailor monitoring solutions that provide actionable insights while staying adaptable to evolving system architectures.

What is a Datadog engineer?

A Datadog engineer is a professional who specializes in implementing, configuring, and managing Datadog, a cloud-based monitoring and analytics platform. They are responsible for integrating Datadog with various systems, setting up dashboards, alerts, and metrics to monitor application performance and infrastructure health. Their work helps organizations identify issues, optimize performance, and ensure system reliability. Datadog engineers often collaborate with DevOps, IT, and development teams to provide insights and improve observability across environments.
What are popular job titles related to Datadog jobs in Washington? For Datadog jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Datadog jobs in Washington look for? The top searched job categories for Datadog jobs in Washington are:
What cities in Washington are hiring for Datadog jobs? Cities in Washington with the most Datadog job openings:
Datadog jobs near you
Infographic showing various Datadog job openings in Washington as of August 2026, with employment types broken down into 86% Full Time, 5% Part Time, and 9% Contract. Highlights an 73% Physical, 6% Hybrid, and 21% Remote job distribution, with an average salary of $49,725 per year, or $23.9 per hour.

Application Support Analyst (Hybrid)

Serigor, Inc.

Sterling, VA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Application Support Analyst (Hybrid)
Location: Dulles, VA
Duration: 06 Months
Job Description:
The Position is responsible for providing Tier 2 (L2) application support services across the Client IT hybrid application ecosystem, including AWS-hosted custom applications, SaaS platforms, COTS products, and on-premises applications.
The Candidate must have strong experience in application troubleshooting, incident management, API/integration support, and multi-system diagnostics. The role focuses on ensuring application stability by resolving complex issues, performing root cause analysis, and coordinating with Tier 3 teams and vendors.
Duties and Role:
  • Incident Management & Troubleshooting:
    • Investigate and resolve escalated incidents from Tier 1 support within defined SLA/OLA targets.
    • Perform deep-dive troubleshooting of application issues, including functional defects, failures, and performance concerns.
    • Analyze application logs, error messages, and system behavior to identify root causes.
    • Provide temporary workarounds and permanent fixes where applicable.
  • Application Support (Hybrid Landscape):
    • Support AWS-hosted applications, SaaS platforms, COTS products, and on-premises applications.
    • Troubleshoot application failures, batch job issues, and system functionality gaps.
    • Ensure smooth operation of business-critical applications across environments.
  • API & Integration Support:
    • Diagnose and troubleshoot REST/SOAP API failures and integration issues.
    • Analyze JSON/XML payloads and validate data exchange between systems.
    • Support integration workflows, data pipelines, and interdependent applications.
  • Monitoring & Alert Management:
    • Monitor application performance using tools such as Datadog, CloudWatch or like tools.
    • Respond to alerts and proactively identify potential issues before business impact.
    • Perform health checks and ensure application availability and performance.
  • Escalation & Vendor Coordination:
    • Escalate complex issues to Tier 3 engineering teams and application vendors.
    • Provide detailed escalation artifacts including logs, error details, and reproduction steps.
    • Track and manage escalations through to resolution while maintaining ownership.
  • Service Request Management:
    • Handle service requests including user access, configuration updates, and data corrections.
    • Execute operational tasks following defined runbooks and standard procedures.
  • Documentation & Knowledge Management:
    • Create and maintain knowledge base articles, SOPs, and troubleshooting guides.
    • Document known issues, solutions, and workarounds for reuse.
    • Continuously enhance documentation for improved operational efficiency.
  • Continuous Improvement & Problem Management:
    • Identify recurring issues and contribute to problem management initiatives.
    • Participate in post-incident reviews (PIR) and recommend corrective actions.
    • Propose improvements to enhance application stability and support processes.
  • Collaboration & Operational Support:
    • Work closely with Tier 1 support, Tier 3 engineering teams, and vendors.
    • Provide technical support and guidance for application-related issues.
    • Ensure alignment with ITIL-based incident, problem, and change management processes.
  • Performs Other Duties as Assigned.

Required Skills and Experience:
  • Strong experience in Tier 2 / L2 Application Support
  • Experience supporting hybrid environments (AWS, SaaS, COTS, on-prem)
  • Proficiency in:
    • SQL querying and data troubleshooting
    • API troubleshooting (REST/SOAP)
    • Log analysis and monitoring tools
  • Familiarity with enterprise monitoring platforms (Datadog)
  • Experience working with ticketing tools (ServiceNow, Jira)
  • Knowledge of ITIL processes.

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