Key skills
PythonRPASplunkCloudWatchDynatraceAppDynamics
About this role
Role Overview
- evaluate applications, platforms, and vendors to assess resiliency, reliability, and operational risk
- design and implement processes that enforce enterprise resiliency and reliability standards
- lead blameless post‑incident reviews for high‑severity incidents
- partner with product and platform teams to proactively identify and remediate reliability risks
- develop, communicate, and evangelize new standards, tools, and frameworks across subdivisions
- troubleshoot complex production issues and implement durable solutions
- participate in a periodic on‑call rotation to support production stability
- evaluate and onboard resiliency and reliability tooling
- actively participate in reliability engineering and resilience communities of practice
Requirements
- experience with modern observability and monitoring tools, such as Splunk, Honeycomb, CloudWatch, Dynatrace, or AppDynamics
- strong understanding of SLIs, SLOs, and SLAs
- experience with alert design, anomaly detection, predictive alerting, and synthetic monitoring
- experience with automation and resilience practices such as Python-based automation, RPA platforms (e.g., Blue Prism, UiPath), chaos engineering, and failure analysis techniques (e.g., FMEA)
Tech Stack
- Python
- RPA
- Splunk
Benefits
- hybrid working model
- professional development opportunities