What You\'ll Do:Build observability solutions that actually work. This isn\'t a role where you monitor dashboards all day. You\'ll work directly with customers to understand their systems, then design, guide, and implement frameworks/solutions that give them the insights they actually need. Translating vague observability pain into observability gain.
- Work directly with customers to identify key operational needs, providing them with customized observability solutions that translate into business value.
- Build and nurture strong relationships with customers, ensuring clear and effective communication around technical requirements and deliverables.
- Interpret and refine abstract customer requests, working with our engineering team to develop clear, practical action items.
What You Must Bring: - Programming/Scripting Tools: Strong experience with Python, Go, or Bash (other languages welcome)
- Container Orchestration: Kubernetes and Docker (you\'ve debugged pods at 3 AM)
- Cloud Platforms: Hands-on knowledge of AWS, Azure, GCP, or physical data center architecture
- Log Parsing & Automation: Expertise in log processing and automation, with tools such as Ansible, Puppet, Chef, or Salt.
Observability Platform Experience: - Datadog: Preferred - expertise with APM, custom metrics, log pipelines, and platform integration
- OR equivalent hands-on experience with observability tools such as: Splunk, Dynatrace, New Relic, AppDynamics, Prometheus, Grafana, or any other open-source observability tech
- If you\'ve built complex observability solutions elsewhere and have a strong infrastructure/SRE background, we can bring you up to speed on Datadog
- Bonus: You\'ve worked across multiple platforms (migrations, integrations, or multi-tool environments) and can articulate the trade-offs between them
Nice to Have Experience: - OpenTelemetry: Proven experience implementing OTel for distributed tracing, metrics, and logging across complex application environments.
- You\'ve instrumented production systems, understand sampling strategies, and can debug why spans aren\'t propagating correctly
- Java: Experience working with: JVM internals, garbage collection, and performance characteristics
- Debugging memory leaks in production, knowing why that thread pool is sized exactly that way, or reading a heap dump and telling a story - to name a few...
Desired Characteristics: - A high tolerance for fast-paced, evolving environments and a preference for taking on new challenges.
- Insatiable desire to learn and grow with a strong commitment to continuous innovation in the observability and cloud monitoring space.
- Ability to communicate technical concepts clearly and directly... We practice \"Radical Best Intent\" here, which means addressing problems head-on without sugarcoating.
