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Datadog Jobs (NOW HIRING)

Datadog SME Location: Frisco, TX JD: * Candidate should be a SME for Datadog application. * Candidate should be hands on large scale Datadog implementation. * Candidate should be to review current ...

DataDog Consultant Location: San Ramon, CA FACE TO FACE INTERVIEW Datadog - Key Responsibilities Design, implement, and manage observability solutions using Datadog (Logs, Metrics, APM, RUM ...

Role Summary A Senior Datadog Engineer and architect responsible for designing, developing, and maintaining complex enterprise software systems. This role involves leading technical projects ...

Privacy Counsel

New York, NY · On-site

$171K - $250K/yr

Datadog is seeking a Privacy Counsel to join our Privacy Legal team and play a key role in scaling Datadog's global data privacy and AI governance program. In this role, you will advise on a wide ...

Senior Software Engineer

Boston, MA · On-site

$130K - $300K/yr

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale-trillions of data ...

Billing Operations Analyst

Denver, CO · On-site

$71K - $103K/yr

Datadog's Finance team collaborates with teams across the organization, providing commercial, operational, and analytical support to ensure that Datadog's business continues to grow as rapidly and ...

Evangelize Datadog's security story to security leaders (CISO, Security Architects, SecOps) * Work cross-functionally with Datadog's partner, channel, and alliance teams to drive joint go-to-market ...

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can ...

As a Senior Product Manager for Serverless at Datadog, you will define and deliver products that help developers monitor and operate serverless applications at scale. You'll own the strategy and ...

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Datadog information

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How much do datadog jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for datadog in the United States is $21.11, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $21.15 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.
More about Datadog jobs
What cities are hiring for Datadog jobs? Cities with the most Datadog job openings:
What states have the most Datadog jobs? States with the most job openings for Datadog jobs include:
Infographic showing various Datadog job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution, with an average salary of $43,904 per year, or $21.1 per hour.
Datadog for Startups Founding Engineering Lead

Datadog for Startups Founding Engineering Lead

Datadog

San Francisco, CA • On-site

$205K - $240K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 27 days ago


Job description

The Datadog for Startups (DDFS) program helps the next generation of fast-scaling companies adopt best-in-class observability and security from day one. We're looking for the technical engine of this program - someone who can sit across from a startup CTO, earn credibility in the first five minutes, and help them see how Datadog fits into their stack before they've even finished describing it. You'll be the first technical member on a lean, five-person team, owning the technical motion end-to-end: discovery calls, demos, startup enablement, forward-deployed engineering projects, and representing Datadog at founder events across San Francisco. This isn't a traditional SE seat - it's part solutions architect, part technical consultant, part startup evangelist, and it requires someone adaptable, proactive, and ready to take initiative without being told what to do next.
At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You'll Do:
  • Run discovery calls with startup CTOs and engineering leads to identify quick wins, validate technical needs, and position Datadog against alternatives like Grafana, New Relic, Sentry, and Clickhouse
  • Deliver tailored Datadog demos and help startups get instrumented quickly - removing friction, showcasing value, and ensuring smooth technical onboarding, particularly around AI/ML observability, infrastructure scaling, and security
  • Manage forward-deployed engineering (FDE) projects embedded directly with client teams, translating their workflows and pain points into Datadog adoption and communicating customer needs back to product and engineering
  • Build automation to improve internal team workflows - EX: outreach, reporting, the application process, and website updates
  • Represent Datadog for Startups at accelerator demo days, hackathons, conferences, founder dinners, and workshops across San Francisco
  • Build relationships across SF's startup ecosystem - founders, VCs, accelerator partners, and technical communities - and develop thought leadership content for technical founder audiences

Who You Are:
  • 5-7+ years in solutions architecture, pre-sales engineering, technical consulting, or a similar customer-facing technical role at a SaaS or cloud company, with broad fluency across cloud infrastructure, containers, Kubernetes, CI/CD, and modern application frameworks
  • A tinkerer with genuine, personal interest in AI and emerging technologies - you've used tools like Claude, ChatGPT, Codex, or Cursor outside of work and follow what's happening with agentic workflows, vibe coding, and codegen because you find it interesting
  • Consultative mindset - you do the overview first, then go deep. You identify customer needs and quick wins in a first conversation, not just recite product features
  • Strong presence and communication skills - you can command a room of technical founders, run a compelling demo, and hold your own in an unscripted conversation with a CTO
  • Adaptable and flexible - comfortable shifting between contexts, priorities, and audiences quickly, and thrive in ambiguity on a small, lean team
  • Based in San Francisco and actively engaged in the local tech/startup community, with startup experience (founded a company, early-stage engineer, or consulting/advisory to founders) strongly preferred

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Intradepartmental mentor and buddy program for in-house networking
  • An inclusive company culture, ability to join our Community Guilds (Datadog Affinity Slacks)
  • Access to Inclusion Talks with a focus on Diversity, Equity, and Inclusion
  • Free, global mental health benefits for employees and dependents age 6+
  • Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
The reasonably estimated yearly salary for this role at Datadog is:
$205,000-$240,000 USD
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.