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Datadog Jobs in Miami, FL (NOW HIRING)

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 ...

Senior Platform Engineer

Sunrise, FL

$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 ...

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 ...

Site Reliability Engineer II

Plantation, FL · On-site

$56.50 - $75.25/hr

Monitor and respond to alerts generated by Datadog and other monitoring platforms. * Perform initial root cause analysis and escalate incidents according to defined SLAs. * Communicate incident ...

Leverage observability and monitoring tools such as DataDog to ensure application performance, reliability, and operational health. * Encourage and guide responsible adoption of AI-assisted ...

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How much do datadog jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for datadog in Miami, FL is $20.19, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $20.24 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.

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What job categories do people searching Datadog jobs in Miami, FL look for?

The top searched job categories for Datadog jobs in Miami, FL are:

What cities near Miami, FL are hiring for Datadog jobs?

Cities near Miami, FL with the most Datadog job openings:

Infographic showing various Datadog job openings in Miami, FL as of August 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 68% Physical, 10% Hybrid, and 22% Remote job distribution, with an average salary of $41,991 per year, or $20.2 per hour.

Lead Application Triaging Specialist

Miami, FL • On-site

Intellyk Inc.
IT Services • 51 - 200 employees

Full-time

Re-posted 15 days ago


Job description

Job Summary:
Intellyk Inc. is seeking a Lead Application Triaging Specialist to oversee application triaging processes. The role involves managing incident resolution, performance tuning, and collaboration with multiple teams while ensuring effective application support.
Responsibilities:
• Working experience on Web Servers , Application Servers, Java Messaging services( JMS Queues & topics) and containerized micro services.
• Experience working in AWS cloud platform.
• Understanding of webservices hosted on Oracle Fusion Administration or EKS platform is mandatory
• Capacity planning, JDBC tuning and performance tuning.
• Strong Experience on administering SOAP and REST Webservices in 3-tier integrations.
• Strong Log analysis skills.
• Strong knowledge on Release Management, Incident Management and Problem Management Processes.
• Working experience on APM tools like Dynatrace, Datadog , AppDynamics, etc.
• Strong knowledge on Load Balancers, HTTP/HTTPS protocols and Networking concepts.
• Collaborate with multiple teams for Incident resolution.
• Good to have experience on REDIS Cache and AWS managed RabbitMQ applications
• Good to have to tuning experience on Hikari JDBC framework and Netty Application servers.
• Manage Oncall team roster for 24x7 Support
Qualifications:
Required:
• Need 10+ years in lead application triaging
• Working experience on Web Servers, Application Servers, Java Messaging services (JMS Queues & topics) and containerized micro services
• Experience working in AWS cloud platform
• Understanding of webservices hosted on Oracle Fusion Administration or EKS platform is mandatory
• Capacity planning, JDBC tuning and performance tuning
• Strong Experience on administering SOAP and REST Webservices in 3-tier integrations
• Strong Log analysis skills
• Strong knowledge on Release Management, Incident Management and Problem Management Processes
• Working experience on APM tools like Dynatrace, Datadog, AppDynamics, etc.
• Strong knowledge on Load Balancers, HTTP/HTTPS protocols and Networking concepts
• Collaborate with multiple teams for Incident resolution
• Manage Oncall team roster for 24x7 Support
Preferred:
• Good to have experience on REDIS Cache and AWS managed RabbitMQ applications
• Good to have tuning experience on Hikari JDBC framework and Netty Application servers
Company:
Intellyk Inc. Founded in 2017, the company is headquartered in Piscataway, USA, with a team of 201-500 employees. The company is currently Growth Stage.