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Datadog Jobs in Florida (NOW HIRING)

Delan Associates, Inc.

Cloud SME X2

Juno Beach, FL · On-site

$57.25 - $78/hr

Datadog * Dynatrace * New Relic * Experience with Infrastructure as Code: * Terraform * CloudFormation * Experience with container technologies: * Kubernetes * EKS * GKE * Experience in large ...

Delan Associates, Inc

Cloud SME X2

Juno Beach, FL

$57.25 - $78/hr

Datadog * Dynatrace * New Relic * Experience with Infrastructure as Code: * Terraform * CloudFormation * Experience with container technologies: * Kubernetes * EKS * GKE * Experience in large ...

Conch Technologies Inc

Full Stack Developer

Tampa, FL · On-site

Experience with monitoring tools such as Splunk, Datadog, Grafana, or ELK Stack. * Understanding of API Gateway, Service Mesh, OAuth2, JWT, and application security. * AWS or Azure certification is a ...

NationsBenefits

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 ...

PODS

Engineer V - Software

Clearwater, FL · On-site

Eppo, Datadog. * DevOps: Azure DevOps (ADO), Pipelines. * AI Tooling: Cursor, Claude. Qualifications Basic Qualifications * Education: Bachelor's degree in Computer Science, Engineering, or a related ...

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How much do datadog jobs pay per hour?

As of Aug 6, 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 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 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 88% Full Time, 3% Part Time, 1% Temporary, 7% Contract, and 1% Nights. Highlights an 72% Physical, 7% Hybrid, and 21% Remote job distribution, with an average salary of $32,809 per year, or $15.8 per hour.

Cloud SME X2

Delan Associates, Inc.

Juno Beach, FL • On-site

$57.25 - $78/hr

Contractor

Posted 8 days ago

Job description


Position Summary
Client is seeking a highly experienced Cloud SME to support a strategic Observability and Scorecard initiative focused on cloud infrastructure visibility, performance monitoring, operational analytics, and service health reporting. This role will primarily support AWS scorecard development and operations, while also providing expertise across Google Cloud Platform (GCP) environments.
The ideal candidate will possess deep cloud engineering and operations experience, a strong understanding of observability frameworks, and expertise integrating cloud-native monitoring capabilities with enterprise observability platforms such as ScienceLogic, Splunk, ServiceNow ITOM, and other monitoring solutions.
Key Responsibilities
  • Serve as the cloud infrastructure SME supporting the enterprise Observability Program.
  • Lead AWS scorecard initiatives, including KPI definition, data collection, and operational reporting.
  • Support monitoring and observability requirements across AWS and GCP environments.
  • Design and implement cloud monitoring standards, dashboards, metrics, and service health indicators.
  • Partner with ScienceLogic, Splunk, ServiceNow ITOM, Database, and BI teams to establish end-to-end visibility across cloud services.
  • Develop and maintain cloud operational scorecards measuring:
    • Availability
    • Reliability
    • Performance
    • Capacity
    • Security posture
    • Operational compliance
  • Analyze cloud infrastructure health and proactively identify performance bottlenecks.
  • Support automated discovery, monitoring, and alerting capabilities within enterprise observability platforms.
  • Drive cloud governance and operational best practices.
  • Participate in troubleshooting, root cause analysis, and problem resolution activities.
  • Document cloud architecture, monitoring standards, and operational procedures.

Required Qualifications
  • 7+ years of cloud infrastructure and operations experience.
  • 5+ years of hands-on AWS experience in enterprise environments.
  • 3+ years supporting Google Cloud Platform (GCP).
  • Strong knowledge of AWS services, including:
    • EC2
    • VPC
    • EKS
    • Lambda
    • RDS
    • S3
    • CloudWatch
    • IAM
    • Route 53
  • Experience implementing cloud observability and monitoring solutions.
  • Expertise with cloud performance monitoring, alerting, and operational reporting.
  • Experience working with enterprise monitoring tools and integrations.
  • Strong understanding of cloud architecture, networking, security, and scalability principles.
  • Experience supporting production environments and incident response processes.
  • Strong analytical, troubleshooting, and communication skills.

Preferred Qualifications
  • AWS Certified Solutions Architect - Professional or Associate.
  • AWS Certified SysOps Administrator.
  • Google Professional Cloud Architect.
  • Experience with:
    • ScienceLogic
    • Splunk
    • ServiceNow ITOM
    • Datadog
    • Dynatrace
    • New Relic
  • Experience with Infrastructure as Code:
    • Terraform
    • CloudFormation
  • Experience with container technologies:
    • Kubernetes
    • EKS
    • GKE
  • Experience in large enterprise or utility industry environments.

Technical Skills
Cloud Platforms
  • Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)

Monitoring & Observability
  • CloudWatch
  • ScienceLogic
  • Splunk
  • ServiceNow ITOM
  • Dynatrace
  • Datadog

Automation & DevOps
  • Terraform
  • CloudFormation
  • CI/CD Pipelines
  • Infrastructure as Code

Containers & Platform Services
  • Kubernetes
  • EKS
  • GKE
  • Docker

Security & Governance
  • IAM
  • Cloud Security Best Practices
  • Compliance Monitoring
  • Operational Governance

Success Criteria
  • Delivery of reliable AWS operational scorecards and KPIs.
  • Improved visibility into cloud service health and performance.
  • Accurate monitoring and reporting across AWS and GCP environments.
  • Enhanced cloud operational efficiency and incident response capabilities.
  • Successful integration of cloud telemetry into enterprise observability platforms.
  • Increased automation and reduction of manual operational activities.
  • Project: Enterprise Observability Program
  • Level: Senior Consultant / SME / Architect

Ideal Candidate Profile
A senior cloud engineer or cloud architect who has hands-on experience operating large-scale AWS and GCP environments, implementing observability solutions, building executive-level operational scorecards, and integrating cloud monitoring data into enterprise platforms such as ScienceLogic, Splunk, and ServiceNow. This individual should be capable of acting as both a technical lead and trusted advisor to client stakeholders.

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