SRE

We are looking for a Senior SRE / Production Reliability Engineer to improve the reliability, performance, and availability of critical production systems. The ideal candidate should have strong experience in SRE/DevOps, Incident Management, Observability, Kubernetes, Google Cloud Platform, and production monitoring , along with hands-on experience with time-series anomaly detection . What You’ll Do Own reliability and performance of critical production applications. Act as an Incident Commander (IC) during P1/P2 production incidents . Lead incident response, root-cause analysis, postmortems, and reliability improvements. Define and manage SLIs, SLOs, and error budgets . Build and improve monitoring, alerting, and observability solutions. Tune and validate time-series anomaly detection models for production monitoring. Develop automation and operational tools using Python, Java, and React . Troubleshoot Kubernetes, cloud, batch processing, and data pipeline issues. Work with engineering and operations teams to improve system reliability and reduce manual work. Support large-scale deployments and manage production risks such as configuration drift and blast radius. Must-Have Skills 8+ years of experience in SRE, DevOps, Platform Engineering, or Production Engineering . Hands-on experience as an Incident Commander for P1/P2 incidents . Strong experience with time-series anomaly detection models in production observability - mandatory . Strong production-level programming skills in: Python Java React Strong experience with SLI, SLO, and error budgets . Hands-on observability experience with: Prometheus Grafana OpenTelemetry At least 2 log platforms such as Loki, Splunk, or Elasticsearch Strong Google Cloud Platform experience. Strong Kubernetes operational experience. Experience with Rancher K3s . Experience troubleshooting Apache Airflow and Tidal workflows/batch jobs. Experience with production-scale distributed systems and on-call support. Preferred Skills Production Readiness Reviews / service launch experience. BigQuery and PostgreSQL . Chaos Engineering / fault injection. TIC/Technical Incident Commander certification. Healthcare, pharmacy, retail, or other high-availability environments. LLM/GenAI for incident management, alert summarization, or runbook recommendations. Kafka . Istio / Envoy . Terraform / Ansible . Important: The Incident Commander experience and production time-series anomaly detection should be treated as hard requirements. A candidate who only has general monitoring/observability experience but has never worked with anomaly detection models would not be a strong fit . For applications and inquiries, contact:hirings@openkyber.com