Software Engineer, Observability

Responsibilities:
Proven ability to champion observability best practices, acting as an educator who can effectively correct anti-patterns and teach other engineering teams how to build robust, standardized instrumentation.
Be an expert in running services in production environments
Contribute to the process of designing services for high growth and high availability.
Provision, configure, and monitor cloud-native infrastructure and services
Design, build, and maintain scalable observability infrastructure using tools like Terraform.
Troubleshoot performance issues and operational issues.
Automating operational tasks and improving scripts.
Assisting with and providing feedback for performance testing and automation
Actively participate in major incident response to diagnose root causes and identify critical gaps in our current telemetry tooling.
Act as a technical leader, driving cross-team initiatives to improve instrumentation and observability standards across the broader engineering organization.

Qualifications:
3+ years of platform engineering, SRE, or DevOps experience
Experience with cloud infrastructure like AWS, Google Cloud, or Azure
Expertise in the Datadog ecosystem (Metrics, Logs, Traces, and Error Tracking), including establishing alerting standards, implementing tagging taxonomies, and managing Datadog configurations via Terraform.
Strong coding skills in Node.js or Golang
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
A data-driven approach to debugging complex, cross-service performance bottlenecks.
Deep understanding of microservice architecture and best practices.
Experience in coaching and mentoring more junior engineers.
Proven ability to lead cross-functional technical initiatives and collaborate seamlessly with multiple engineering teams.
Hands-on experience with OpenTelemetry (OTel), Vector, or similar frameworks for instrumenting applications.