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Datadog Jobs in Florida (NOW HIRING)

VBeyond

JavaScript Engineer

Fort Lauderdale, FL · Hybrid

... Datadog Prometheus Grafana Experience in building and scaling platformlevel systems including API gateways rate limiting and service orchestration Bonus Skills Understanding of AI platform concepts ...

NBCUniversal

Associate Engineer, Production Systems

Miami, FL · On-site

$14.25 - $18.25/hr

Python, Bash, PowerShell, etc. • Experience with systems monitoring tools such as Datadog, Op5, New Relic, etc. Company : NBCUniversal is a media company that provides entertainment and news ...

Purple Drive Technologies

Sr. SIEM & SOAR LEAD

Tampa, FL · On-site

$52.25 - $71.50/hr

Subject matter expertise in SIEM and SOAR products such as Splunk, Elastic, Datadog, Phantom, Torq, etc. Experience with scripting is highly preferred like Python, Ansible etc. Experience in creating ...

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How much do datadog jobs pay per hour?

As of Jun 14, 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, and why are they important?

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 June 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution, with an average salary of $32,809 per year, or $15.8 per hour.
AWS Systems Admin III - ACE Product Engineering

AWS Systems Admin III - ACE Product Engineering

Blue Origin

Merritt Island, FL • On-site

Full-time

Posted 24 days ago

Blue Origin rating

8.8

Company rating: 8.8 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

7th of 60 rated aerospace companies

Job description

Job Summary:
Blue Origin is working to develop reusable, safe, and low-cost space vehicles and systems for the benefit of Earth. The AWS Systems Admin III will build and maintain the AWS infrastructure supporting enterprise engineering tool platforms, ensuring reliability, security, and performance of critical engineering systems.
Responsibilities:
• Deploy and maintain AWS infrastructure (EC2, VPC, EFS, S3, RDS, ALB, Lambda) supporting Teamcenter and Windchill environments.
• Implement established patterns for multi-tier PLM application architectures on AWS.
• Follow and enforce standards for resource tagging, naming conventions, and cost optimization.
• Write and maintain IaC using Terraform, Ansible, and/or CloudFormation based on established architectural patterns.
• Build and maintain deployment pipelines for PLM infrastructure changes.
• Automate routine administrative tasks, patching, and scaling operations.
• Perform backend maintenance, configuration changes, and upgrades for Teamcenter and Windchill under senior guidance.
• Support environment provisioning for development, test, and production tiers.
• Manage and monitor database infrastructure (Oracle, MS SQL, RDS) supporting PLM platforms.
• Implement security policies aligned with AWS Well-Architected Framework and organizational standards.
• Manage IAM policies, roles, and access controls as directed.
• Support security audits and remediation activities.
• Configure and maintain observability solutions (e.g. Datadog, Splunk).
• Execute backup and recovery procedures; validate disaster recovery processes.
• Monitor system health and escalate or resolve performance issues.
• Partner with senior engineers, PLM application teams, and IT operations.
• Maintain documentation including runbooks, configuration records, and troubleshooting guides.
• Continuously develop AWS and engineering tool platform knowledge.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• 3+ years of experience in AWS cloud infrastructure administration.
• 1+ years of experience supporting enterprise applications in a cloud or hybrid environment (PLM experience a strong plus).
• Working experience with Infrastructure as Code (Terraform, Ansible, or CloudFormation).
• Proficiency in scripting (Python, Bash, or PowerShell).
• Foundational knowledge of networking, security, and multi-tier application architectures.
• Experience with relational databases (RDS, Oracle, or MS SQL).
• Proficiency in Linux server environments.
• Familiarity with Git and CI/CD concepts.
• Must be a U.S. Person (required for compliance with ITAR/EAR regulations).
Preferred:
• Exposure to Siemens Teamcenter or PTC Windchill backend administration.
• Java programming experience.
• AWS certification (Solutions Architect Associate, SysOps Administrator Associate).
• Experience with containerization (Docker, Kubernetes).
• Experience with observability tooling (Datadog, Splunk, PagerDuty).
• ITIL Foundation or familiarity with change management processes.
• Familiarity with aerospace & defense compliance (CMMC, NIST 800-171).
• Experience in agile/scrum environments.
Company:
Blue Origin is an aerospace company that focuses on lowering the cost of spaceflight and helping to explore the solar system. Founded in 2000, the company is headquartered in Kent, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Blue Origin employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Blue Origin logo

About Blue Origin

Sourced by ZipRecruiter

Blue Origin is a private aerospace manufacturing and suborbital spaceflight services company based in Kent, Washington, USA. Established in 2000 by Amazon founder Jeff Bezos, the company operates in the cutting-edge aerospace industry aiming to build a future where millions of people can live and work in space. They develop a variety of technologies, with a focus on reusable rocket systems which significantly reduce the cost of space travel. Blue Origin's core mission is to make this vision come to life by incrementally building on its successes with an ultimate vision of dramatic cost reduction and increased reliance on reusable spacecraft.

Industry

Space research administration

Company size

1,001 - 5,000 Employees

Headquarters location

Kent, WA, US

Year founded

2000

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