ZipRecruiter

Log In

1

Datadog Jobs in Austin, TX (NOW HIRING)

Hired Recruiters

Senior Front End Artitecture

Austin, TX · On-site +1

$150K - $160K/yr

Metrics tools like DataDog, Grafana, and Prometheus. Your day to day will be writing software, but you'll ultimately touch various aspects of the business: talking to customers, defining new features ...

Hired Recruiters

Senior Software Engineer

Austin, TX · On-site +1

$150K - $160K/yr

Metrics tools like DataDog, Grafana, and Prometheus. Your day to day will be writing software, but you'll ultimately touch various aspects of the business: talking to customers, defining new features ...

Apple

Senior Software Engineer - Observability

Austin, TX · On-site

$121K - $160K/yr

Proven experience integrating telemetry data with Grafana and Datadog Strong proficiency in Kotlin, Go, Python, or Java, with Kotlin experience highly valued Deep understanding of distributed systems ...

PEAK6

Senior AWS Cloud Engineer- VDI Platform

Austin, TX · On-site

$140 - $220/hr

Own the deployment and integration of Datadog monitoring for the AWS VDI stack, including metrics, logs, traces, dashboards SLOs, and alerting. Education and Experience * At least 5 years of hands-on ...

Apple

Senior Software Engineer - Observability

Austin, TX

$121K - $160K/yr

Proven experience integrating telemetry data with Grafana and Datadog Strong proficiency in Kotlin, Go, Python, or Java, with Kotlin experience highly valued Deep understanding of distributed systems ...

2K

Senior Site Reliability Engineer

Austin, TX · On-site

$56.50 - $75/hr

Prometheus + Grafana + Datadog. * Define SLI/SLO/error budget policies and build alerting that cuts through the noise. * Lead chaos engineering exercises to surface failure modes before players ...

Apple

Senior Software Engineer - Observability

Austin, TX

$121K - $160K/yr

Proven experience integrating telemetry data with Grafana and Datadog Strong proficiency in Kotlin, Go, Python, or Java, with Kotlin experience highly valued Deep understanding of distributed systems ...

Sonar

Sales Solutions Engineer - AWS

Austin, TX · On-site

Snyk, JFrog, HashiCorp, Datadog, Mend, Checkmarx, Anthropic / OpenAI (LLM code-gen providers integrated with Bedrock) What You Will Do: * Partner with Account Executives as the lead technical ...

SambaNova

Principal Cloud Platform Engineer

Austin, TX · On-site

$144K - $189K/yr

Building monitoring, alerting, and dashboards in Prometheus, Grafana, and Datadog for service health, model latency and throughput, and accelerator utilization * Finding and eliminating performance ...

previous pagenext page

Showing results 21-40

All JobsDatadog JobsDatadog Jobs in Austin, TX

Datadog information

See Austin, TX salary details

$13

$20

$29

How much do datadog jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for datadog in Austin, TX is $20.92, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $20.96 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.

What are popular job titles related to Datadog jobs in Austin, TX?

For Datadog jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Datadog jobs in Austin, TX look for?

The top searched job categories for Datadog jobs in Austin, TX are:

What cities near Austin, TX are hiring for Datadog jobs?

Cities near Austin, TX with the most Datadog job openings:

Datadog jobs near you
Infographic showing various Datadog job openings in Austin, TX as of August 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 73% Physical, 9% Hybrid, and 18% Remote job distribution, with an average salary of $43,518 per year, or $20.9 per hour.

AI Application Support Team Lead (Austin)

Autonomize Inc

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 10 hours ago

Job description

AI Application Support Team Lead (U.S.)
We're scaling our delivery organization to support enterprise customers and are looking for a hands-on AI Application Support Team Lead to ensure our deployed solutions stay reliable, compliant, and customer-loved.
Role Overview
You will lead the customer-facing post-deployment support function for Autonomize's platform in production environments.
You'll be the technical escalation point for Tier-1 healthcare clients, driving incident response, uptime, and customer satisfaction - while mentoring a globally distributed support team to deliver world-class service.
Key Responsibilities
  • Own production reliability: Ensure uptime, performance, and SLA compliance for all deployed customer environments (SaaS and private tenant).
  • Lead and coordinate global support: Oversee a follow-the-sun support model, managing offshore engineers and onshore escalations.
  • Incident management: Lead triage and resolution for high-severity issues; coordinate with engineering and CloudOps for root-cause analysis (RCA) and postmortems.
  • Customer engagement: Act as the senior technical contact for customer IT and operations teams during critical incidents. Provide confidence through transparency, communication, and resolution speed.
  • Process design: Establish incident response protocols, escalation paths, and support SLAs. Drive adoption of ITIL-lite practices suitable for startup agility.
  • Monitoring and automation: Implement alerting, observability, and proactive health checks using tools like Datadog, Grafana, or Prometheus.
  • Knowledge management: Build and maintain documentation, runbooks, and support playbooks that empower both onshore and offshore teams.
  • Compliance and security: Ensure all support operations adhere to HIPAA, SOC2, and internal audit requirements.
  • Team development: Mentor support engineers; foster a culture of accountability, continuous learning, and customer obsession.

What You'll Bring
  • 10-12 years of experience in application or production support for enterprise SaaS or AI/ML platforms.
  • 3-5 years in a lead or senior escalation role , preferably customer-facing.
  • Hands-on expertise with Azure or GCP cloud environments , Kubernetes , and CI/CD pipelines.
  • Strong experience with monitoring, alerting, and incident management tools (PagerDuty, Datadog, Grafana, Splunk, Jira Service Management).
  • Working knowledge of APIs, integrations, and data pipelines - able to trace issues across distributed systems.
  • Understanding of AI/ML or data-centric applications ; exposure to model serving or workflow orchestration is a plus.
  • Exceptional communication and crisis management skills - able to engage with both technical and non-technical executives.
  • Prior experience supporting regulated or mission-critical systems (healthcare, finance, defense) preferred.
  • Startup DNA: resourceful, systems thinker, comfortable building while running.

Why This Role Matters
  • You'll define the support operating model that will scale Autonomize's deployments across dozens of enterprise customers.
  • You'll act as the face of reliability for customers - ensuring they trust our AI to perform consistently in clinical and operational settings.
  • You'll mentor and shape a growing global team, embedding reliability and excellence into everything we deliver.

What we Offer
  • A chance to help shape one of the fastest-growing AI companies in healthcare.
  • Direct partnership with experienced founders and executive leaders.
  • High ownership with enormous opportunity for growth.
  • Competitive compensation and meaningful equity.
  • 100% employer-paid medical, dental, and vision insurance.
  • 401(k), disability insurance, and employee assistance programs.
  • The opportunity to build the People organization that powers the next generation of AI.

How to Apply
Send your resume and a brief note to careers@autonomize.ai explaining why you're excited to help transform the future of health plans through AI.

Apply