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Datadog Jobs in Florida (NOW HIRING)

No Limit Technology

Site Reliability Engineer

Tampa, FL · On-site

$53.75 - $71.50/hr

\n \n \n Looking for an SRE experienced in monitoring and observability using Prometheus, Grafana, ELK Stack, DataDog, and Sentry. You will assist in converting clients off of Datadog to an Otel ...

PODS Enterprises, LLC

Engineer III - Software

Clearwater, FL · Remote

$50.75 - $68.25/hr

Use Datadog to understand how your services behave in production. * Collaboration: Work closely with Product, UX, and QA to turn requirements into working software -- and ask clarifying questions ...

HRC Global Services

Fullstack Engineer

Miami, FL · On-site

Several years of software engineering experience, including 2+ continuous years at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify ...

DS Technologies, LLC

Senior Platform Engineer

Sunrise, FL · On-site

$99K - $136K/yr

Work on observability and telemetry , integrating tools such as OpenTelemetry, Datadog, Prometheus, or Grafana. * Build scalable API gateways , implement rate-limiting , and manage service ...

Opendoor

Infrastructure Security Engineer

Miami, FL · On-site

$136K/yr

Datadog, Cribl, S3 • Languages: Go, Python, TypeScript, Ruby, Terraform (HCL), Terrakube (self-hosted) • AI Tooling: Claude Code, Claude Cowork, OpenAI, Codex, Bedrock, Runlayer MCP, custom agent ...

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How much do datadog jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for datadog in Florida is $15.77, according to ZipRecruiter salary data. Most workers in this role earn between $12.93 and $15.82 per hour, depending on experience, location, and employer.

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 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 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 popular job titles related to Datadog jobs in Florida?

For Datadog jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Datadog jobs in Florida look for?

The top searched job categories for Datadog jobs in Florida are:

What cities in Florida are hiring for Datadog jobs?

Cities in Florida with the most Datadog job openings:

Datadog jobs near you
Infographic showing various Datadog job openings in Florida as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 69% Physical, 10% Hybrid, and 21% Remote job distribution, with an average salary of $32,809 per year, or $15.8 per hour.

Site Reliability Engineer

No Limit Technology

Tampa, FL • On-site

$53.75 - $71.50/hr

Contractor

Re-posted 25 days ago

Job description

\n <\/head>\n \n

Looking for an SRE experienced in monitoring and observability using Prometheus, Grafana, ELK Stack, DataDog, and Sentry. You will assist in converting clients off of Datadog to an Otel solution using an advanced AI tool.    <\/span>
<\/p>\n

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\n <\/div><\/span>
Requirements<\/h3>\n
\n Prometheus, Grafana, ELK Stack, DataDog, and Sentry, DataDog, oTel Solutions experience<\/span>
\n <\/div><\/span>
\n <\/body>\n<\/html>

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