Senior DevOps Engineer

Summary

Join Natera as a Senior DevOps Engineer focused on Observability, where you will establish observability standards, lead automation efforts, and mentor engineers. You will design and manage a code-driven Datadog observability platform, ensuring end-to-end visibility into applications and infrastructure. This role demands expertise in Datadog and cost-effective observability at scale. You will collaborate with various teams to standardize monitoring and logging practices. This hands-on position requires managing all configurations through Terraform, APIs, and CI/CD workflows. Mentorship and internal training program development are also key responsibilities.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics or a related technical field
• 5+ years of experience in DevOps, Site Reliability Engineering, or related roles with a strong focus on observability and infrastructure as code
• Hands-on experience managing and scaling Datadog programmatically using code-based workflows (e.g. Terraform, APIs, CI/CD)
• Deep expertise in Datadog including APM, logs, metrics, tracing, dashboards and audit trails
• Proven experience integrating Datadog observability into CI/CD pipelines (e.g. GitLab CI, AWS CodePipeline, GitHub Actions)
• Solid understanding of AWS services and best practices for monitoring services on Kubernetes infrastructure

Responsibilities

• Own and define observability standards for Java applications, Kubernetes workloads and cloud infrastructure
• Configure and manage the Datadog platform using Terraform and Infrastructure-as-Code (IaC) best practices
• Drive adoption of structured JSON logging, distributed tracing and custom metrics across Java and Python services
• Optimize Datadog usage through cost governance, log filtering, sampling strategies and automated reporting
• Collaborate closely with Java developers and platform engineers to standardize instrumentation and alerting
• Troubleshoot and resolve issues with missing or misconfigured logs, metrics and traces, working with developers to ensure proper instrumentation and data flow into Datadog
• Lead incident response efforts using Datadog insights for actionable alerting, root cause analysis (RCA) and reliability improvements
• Serve as the primary point of contact for Datadog-related requests, supporting internal teams with onboarding, integration and usage questions
• Continuously audit and tune monitors for alert quality, reducing false positives and improving actionable signal detection
• Maintain clear internal documentation on Datadog usage, standards, integrations and IaC workflows
• Evaluate and propose improvements to the observability stack, including new Datadog features, OpenTelemetry adoption and future architecture changes
• Mentor engineers and develop internal training programs on Datadog, observability-as-code and modern log pipeline architecture

Preferred Qualifications

• Strong background in Java or Python application development is preferred
• Familiarity with other observability and monitoring tools (e.g., ELK, Prometheus, Grafana, OpenTelemetry, New Relic, Dynatrace, Splunk, Sysdig) is a plus

Benefits

• Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents
• Free testing in addition to fertility care benefits
• Pregnancy and baby bonding leave
• 401k benefits
• Commuter benefits
• A generous employee referral program