Design and implement metrics and observability frameworks with a strong focus on service level objectives (SLOs)
Manage error budgets effectively, collaborating with development teams to balance reliability and feature delivery
Design and implement comprehensive monitoring solutions to provide real-time visibility into system health
Architect, design, and implement scalable cloud infrastructure capable of supporting multiple business applications
Develop and implement automated quality gates that ensure all releases meet defined reliability and performance standards
Assist in incident response efforts by providing insights from metrics and monitoring tools
Use AI to surface what changed / what’s abnormal / next best action from metrics, logs, and traces
Apply GenAI to speed triage and RCA with fast signal summarization and guided investigation paths
Monitor AI workloads for quality, safety, cost, latency, reliability with end-to-end tracing

10+ years of experience in Software Engineering, Platform Engineering, or SRE
7+ years of experience with observability practices, including SLIs/SLOs/SLAs, alerting, and incident management
7+ years building production-grade backend services in Java/python
7+ years implementing and operating OpenTelemetry, including OTLP, semantic conventions, and instrumentation patterns
7+ years with cloud-native and containerized platforms (Docker, Kubernetes, Argo CD)
7+ years working with public cloud platforms (AWS, GCP, or Azure)
5+ years designing and scaling distributed, high-volume data pipelines
5+ years working with Grafana OSS or comparable observability backends (e.g., Grafana, Loki, Tempo, Prometheus)
5+ years with relational databases (PostgreSQL, MySQL)

medical, dental, and vision coverage
paid time off
retirement savings options
wellness programs
comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families

Staff Observability Platform Engineer – SRE

Key skills