Senior Observability Engineer - Datadog SME

📌 Senior Observability Engineer – Datadog SME (LATAM)

We are looking for a Senior Observability Engineer with deep expertise in Datadog to join our Digital Ops team. This role is focused on owning and evolving the observability strategy for a large-scale, cloud-native environment supporting 150+ production services across multiple regions.

As a Datadog Subject Matter Expert, you will be responsible for designing, operating, and continuously improving observability capabilities, enabling engineering teams to build reliable, performant, and cost-efficient systems. You will work closely with DevOps, SRE, and development teams in an agile environment, acting as a technical reference for observability best practices.

🗓 Start date: ASAP

📆 Contract type: Full-Time, Remote, Contractor

🌐 Work hours and location: 8.00 am to 4.00 PM MST

🛠️ What You’ll Be Doing

• Own and lead the observability architecture and strategy across cloud-native services running in multiple environments and regions.
• Act as the Datadog Subject Matter Expert, owning configuration, governance, and best practices.
• Design, implement, and maintain Datadog dashboards, monitors, alerts, SLOs, and service health views.
• Operate and optimize Datadog APM, Logs, Metrics, Synthetic Monitoring, and RUM.
• Drive alert quality improvements, signal-to-noise reduction, and proactive detection of operational issues.
• Lead Datadog cost management and usage optimization initiatives in collaboration with engineering and finance stakeholders.
• Partner with development teams to embed observability into the SDLC and production readiness processes.
• Define and document runbooks, operational procedures, and observability standards.
• Eventually participate in a shared on-call rotation, triaging and resolving production incidents, acting as incident commander when needed, and leading post-incident reviews.
• Continuously identify opportunities for automation and toil reduction across observability and operational workflows.
• Set, track, and report on operational excellence metrics including reliability, performance, availability, security, and cost.
  
  

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✅ What You Need to Succeed

Must-haves

• 3+ years of deep, hands-on experience with Datadog as an observability platform in production environments.
• 5+ years of experience in DevOps, SRE, or Cloud Engineering roles supporting customer-facing systems.
• Strong practical experience with Datadog APM, Logs, Metrics, dashboards, monitors, alerts, and SLOs.
• Hands-on experience with Azure, Kubernetes, Terraform, Docker, and GitOps-based workflows.
• Proven experience operating 24x7 production environments, including incident response, root cause analysis, and post-mortems.
• Solid understanding of cloud-native architectures, distributed systems, and modern observability principles.
• Ability to work independently in a fully remote, distributed team, with strong communication and collaboration skills.
  
  

Nice to have

• Experience with ArgoCD, Azure DevOps CI/CD pipelines, and infrastructure automation.
• Exposure to Databricks, SQL-based systems, or data-intensive platforms.
• Hands-on experience building or extending custom DevOps/SRE tooling to reduce operational toil.
• Relevant certifications (e.g. Datadog, Azure, Cloud Architecture, ITIL).
  
  

🧭 Our Recruitment Process

Here’s what to expect from our candidate-friendly interview process:

• Initial Interview – 60 minutes with our Talent Acquisition Specialist
• Culture Fit – 30 minutes with our Team Engagement Manager
• Technical Assessment – Online Challenge/Multiple Choice Questionnaire
• Final Stage – 60 minutes with the Hiring Manager
  
  

🌟 Why Join Launchpad?

We believe that great work starts with great people. At Launchpad, we offer:

• People first culture
• Excellent compensation
• Hardware setup for working from home
• Agile methodologies
• Diverse and multicultural work environment
• Training allowances …and more!
  
  

✨ Ready to make your mark? Apply now and be part of something exciting.