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Datadog Jobs in Arizona (NOW HIRING)

Design Works Studios LLC

Lead DevOps Engineer

Scottsdale, AZ · Hybrid

$53.25 - $72.75/hr

Experience with observability, monitoring, and logging platforms such as DataDog, Splunk, Elasticsearch, Grafana, or similar technologies * Familiarity with regulated or compliance-driven ...

USAA

Software Engineer I

Phoenix, AZ · On-site

Creating dashboards in Datadog & Splunk for Application Diagnostics and Debugging Worksite: One Norterra Drive, Phoenix AZ 85085 Relocation assistance is Not Available for this position. This ...

Fox

Digital Operations Specialist I (Overnight)

Tempe, AZ

$28.75 - $33.66/hr

Create and maintain response playbooks using tools such as JIRA, PagerDuty, ServiceNow, DataMiner, Datadog, and various in-house tools within the Fox Digital Video ecosystem. Support the development ...

SmartRent

Director, Site Reliability Engineering

Phoenix, AZ

$56.50 - $75.25/hr

Experience utilizing observability and monitoring tools (e.g., Datadog, Observe, or similar platforms). * Strong troubleshooting expertise, including developing and maintaining runbooks and technical ...

SmartRent

Director, Site Reliability Engineering

Phoenix, AZ · On-site

$56.50 - $75.25/hr

Experience utilizing observability and monitoring tools (e.g., Datadog, Observe, or similar platforms). * Strong troubleshooting expertise, including developing and maintaining runbooks and technical ...

Design Works Gaming

Lead DevOps Engineer

Scottsdale, AZ · On-site

$53.25 - $72.75/hr

Experience with observability, monitoring, and logging platforms such as DataDog, Splunk, Elasticsearch, Grafana, or similar technologies * Familiarity with regulated or compliance-driven ...

Nuclearn

Founding Support Engineer

Phoenix, AZ · On-site +1

Familiarity with monitoring/observability tools (PagerDuty, Datadog, BetterUptime, or similar) * Experience supporting on-prem or air-gapped environments * Background in customer-facing technical ...

SmartRent

Director, Site Reliability Engineering

Phoenix, AZ · On-site

$56.50 - $75.25/hr

Experience utilizing observability and monitoring tools (e.g., Datadog, Observe, or similar platforms). * Strong troubleshooting expertise, including developing and maintaining runbooks and technical ...

Genesis10

Redis & Middleware Engineer - Onsite

Chandler, AZ · On-site

$60.24 - $68.24/hr

Experience with enterprise monitoring and observability platforms such as Splunk, Dynatrace, AppDynamics, or Datadog * Understanding of security best practices for middleware and infrastructure ...

New

Vaco by Highspring

Senior AI-Native Software Engineer

Tempe, AZ · On-site

$119K - $157K/yr

Experience integrating platforms such as Zendesk, Workday, Teams, Snowflake, Datadog, or similar enterprise systems * Mobile application exposure is helpful but not required Determining compensation ...

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Datadog information

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 Arizona? For Datadog jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Datadog jobs in Arizona look for? The top searched job categories for Datadog jobs in Arizona are:
What cities in Arizona are hiring for Datadog jobs? Cities in Arizona with the most Datadog job openings:
Datadog jobs near you

Senior DevOps Engineer (Cloud + AI Infrastructure)

Ryde Technologies, LLC

Phoenix, AZ

$123K - $158K/yr

Other

Posted 13 days ago

Job description

Senior DevOps Engineer (Cloud & AI-Driven Infrastructure)

About the Role

We are seeking a Senior DevOps Engineer who thrives at the intersection of cloud infrastructure, automation, and modern engineering practices. This is a high-impact role for someone who enjoys building scalable systems, eliminating manual processes, and continuously improving how software is delivered.

You will play a key role in designing and operating cloud environments, leading infrastructure-as-code initiatives, and advancing CI/CD automation. This position is well-suited for someone who not only understands DevOps, but actively evolves it through new tools and approaches.

Responsibilities

  • Lead the design and implementation of scalable, secure AWS cloud infrastructure
  • Build and optimize CI/CD pipelines to support efficient and reliable software delivery
  • Develop and maintain Terraform modules and infrastructure-as-code frameworks
  • Drive automation across environments to reduce manual effort and improve consistency
  • Partner with engineering, QA, and architecture teams to deliver reliable systems
  • Own monitoring, logging, and alerting strategies to ensure system performance and availability
  • Troubleshoot production issues and lead root cause analysis with a focus on long-term solutions
  • Implement and enforce cloud security best practices
  • Mentor team members and contribute to a culture of continuous improvement
  • Stay current with trends in cloud infrastructure, DevOps, and automation

Qualifications

  • Bachelor’s or master’s degree in Computer Science, Information Technology, or a related field
  • 5+ years of experience in DevOps or infrastructure engineering, including senior-level responsibilities
  • Strong expertise in AWS cloud architecture and services
  • Deep experience with Terraform, including modules, state management, and automation
  • Proven experience building and scaling CI/CD pipelines
  • Experience with AI-assisted development tools, particularly Claude Code and the Claude Agent SDK, is strongly preferred
  • Experience with containerization and orchestration tools such as Docker and Kubernetes
  • Strong scripting skills in Python, Bash, or similar languages
  • Experience with monitoring tools such as Prometheus, Grafana, or Datadog
  • Strong problem-solving skills with the ability to proactively identify and resolve issues
  • Excellent communication skills and ability to work across technical and non-technical teams

Preferred Qualifications

  • AWS certifications such as Solutions Architect or DevOps Engineer
  • Terraform certification
  • Experience designing and implementing AI agents using the Claude Agent SDK and MCP for DevOps automation and infrastructure orchestration
  • Experience with additional infrastructure-as-code tools such as CloudFormation or Pulumi
  • Exposure to AI-assisted development or automation tools
  • Experience building and supporting large-scale production systems

What Sets This Role Apart

  • Opportunity to influence and improve DevOps practices across the organization
  • Work on scalable, cloud-native systems with real impact
  • High level of ownership and visibility within engineering
  • Collaborative environment focused on quality and continuous improvement

Ideal Candidate Profile

You are someone who focuses on building efficient, scalable systems rather than maintaining the status quo. You are comfortable with automation, enjoy solving complex infrastructure challenges, and take ownership of your work. You stay current with evolving technologies and are motivated to continuously improve both systems and processes.

Apply