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Datadog Jobs in California (NOW HIRING)

OUTLOOK GROUP

Senior DevOps Engineer

Glendale, CA · On-site

$139K - $179K/yr

This position is instrumental in advancing infrastructure automation, Azure DevOps pipeline maturity, Datadog monitoring and alerting, cloud security, disaster recovery, and business continuity ...

Tranzeal, Inc.

Lead .Net Developer

Los Angeles, CA · On-site

$63.50 - $83.25/hr

Knowledge of container orchestration, release automation, and platform observability tools (e.g., Datadog). Experience implementing secure coding practices and compliance workflows in regulated ...

Prenuvo

Senior Frontend Engineer II - eCommerce

Bodega Bay, CA · On-site

$145K - $200K/yr

Set up and maintain Datadog RUM dashboards, implement comprehensive error tracking, and debug production issues to maintain high system reliability. * Champion Testing & Quality: Write and maintain ...

S Linx LLC

Senior Rust Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

... Datadog/Prometheus. · Good understanding of distributed systems, networking, and cloud-native applications. Preferred Skills · WebRTC, QUIC, GStreamer, Meilisearch, NATS/JetStream. · Terraform ...

Info Way Solutions

Solutions Architect

Fremont, CA · On-site

$69.25 - $91.25/hr

... Datadog Company : Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in ...

Judge Group, Inc.

AWS Support Engineering Lead

Tustin, CA · On-site

$120K - $130K/yr

The role requires hands-on exposure to CI/CD pipelines, Linux administration, scripting, log analysis platforms Splunk, Datadog, SSL certificate management, and production support processes, Agentic ...

Staffingine LLC

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Utilize CloudWatch and Datadog for performance monitoring and reliability * Collaboration: Work closely with cross-functional teams to gather requirements and deliver business-driven data solutions

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How much do datadog jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for datadog in California is $20.83, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $20.87 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 California? For Datadog jobs in California, the most frequently searched job titles are:
What job categories do people searching Datadog jobs in California look for? The top searched job categories for Datadog jobs in California are:
What cities in California are hiring for Datadog jobs? Cities in California with the most Datadog job openings:
Datadog jobs near you
Infographic showing various Datadog job openings in California as of August 2026, with employment types broken down into 79% Full Time, 12% Part Time, 2% Temporary, and 7% Contract. Highlights an 74% Physical, 6% Hybrid, and 20% Remote job distribution, with an average salary of $43,329 per year, or $20.8 per hour.

Senior Observability Engineer, Platform Engineering

Solugenix Corporation

Irvine, CA • On-site

$90 - $110/hr

Other

Posted 27 days ago

Job description

Senior Observability Engineer, Platform Engineering
Irvine, CA or San Antonio, TX (Hybrid)
12+ Month Contract
JPC - 20528

Solugenix is seeking an experienced Senior Observability Engineer, Platform Engineering for a 12+ month contract, hybrid position based in Irvine, CA or San Antonio, TX.

We are seeking a highly skilled Senior Observability Engineer to design, implement, and optimize modern observability solutions across cloud-native environments. The ideal candidate will have strong expertise in infrastructure automation, backend development, and monitoring platforms, with hands-on experience in Terraform, Python, FastAPI, OpenTelemetry, and Datadog.

This role will focus on building scalable observability frameworks, improving system reliability, and enabling proactive monitoring for critical applications and infrastructure.

Qualifications:

  • Degree in Computer Science, Engineering, or related field (or equivalent practical experience).
  • 10+ years of experience in cloud infrastructure, software engineering, or observability engineering.
  • Strong hands-on experience with Terraform and Infrastructure as Code practices.
  • Proficiency in Python and backend API development using FastAPI.
  • Experience implementing observability frameworks using OpenTelemetry.
  • Strong experience with Datadog, including dashboards, monitors, alerting, and SLO management.
  • Solid understanding of distributed systems, cloud-native architectures, and microservices.
  • Experience with CI/CD tools and deployment automation.
  • Strong troubleshooting, analytical, and problem-solving skills.

Preferred Qualifications:

  • The engineer that we are looking for this position will be using Open Telemetry data to build and automate Observability Dashboards.
  • Specialized expertise in Python/FastAPI development, Kubernetes, Terraform, and OpenTelemetry is essential for modern cloud-native development.
  • Strong Python Developers with hands-on experience on FastAPI, Kubernetes and Terraform, while Open Telemetry can be considered as good to have skill.
  • Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
  • Knowledge of container orchestration platforms such as Kubernetes.
  • Familiarity with logging and monitoring tools such as Prometheus, Grafana, or Splunk.
  • Experience supporting high-availability production environments.

Responsibilities:

Infrastructure as Code (IaC):

  • Design, build, and manage scalable cloud infrastructure using Terraform.
  • Develop reusable infrastructure modules and maintain infrastructure provisioning standards.
  • Implement and maintain CI/CD pipelines to automate infrastructure and application deployments.
  • Improve deployment reliability through automation and infrastructure best practices.

Backend Development:

  • Design, develop, and maintain RESTful APIs using Python and FastAPI.
  • Build backend services that support observability workflows, telemetry processing, and integrations.
  • Optimize services for performance, scalability, reliability, and maintainability.
  • Troubleshoot application and API performance issues.

Observability & Monitoring:

  • Design and implement observability solutions using OpenTelemetry for distributed tracing, metrics, and logging.
  • Configure and maintain Datadog dashboards, monitors, alerts, and Service Level Objectives (SLOs).
  • Develop monitoring strategies to improve system visibility and reduce incident response times.
  • Analyze telemetry data to identify performance bottlenecks and reliability issues.
  • Establish alerting thresholds and monitoring standards to support production operations.

Pay Range for CA, CO, IL, NJ, NY, WA, and DC: $90/hour to $110/hour. Starting rate of pay offered may vary depending on factors including but not limited to, position offered, location, education, training, and/or experience.

Solugenix will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act and Ordinance. Applicants do not need to disclose their criminal history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if we are concerned about conviction that is directly related to the job, applicants will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report.

About Solugenix
Solugenix is a leader in IT services, delivering cutting-edge technology solutions, exceptional talent, and managed services to global enterprises. With extensive expertise in highly regulated and complex industries, we are a trusted partner for integrating advanced technologies with streamlined processes. Our solutions drive growth, foster innovation, and ensure compliance-providing clients with reliability and a strong competitive edge.
Recognized as a 2024 Top Workplace, Solugenix is proud of its inclusive culture and unwavering commitment to excellence. Our recent expansion, with new offices in the Dominican Republic, Jakarta, and the Philippines, underscores our growing global presence and ability to offer world-class technology solutions. Partnering with Solugenix means more than just business-it means having a dedicated ally focused on your success in today's fast-evolving digital world.

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