We are looking for a hands-on Site Reliability Engineer responsible for ensuring production services are reliable, observable, and continuously improving. This role focuses on services including batch, streaming, microservices, AI/ML model serving, LLMOps pipelines, and agentic systems.
The ideal candidate brings Proficient-level expertise in GCP and agentic AI, using AI and agent-based capabilities responsibly to improve observability, incident investigation, operational workflows, and service reliability. The SRE remains accountable for validating AI-generated operational artifacts and production outcomes.
Key Responsibilities
- Own reliability initiatives end to end across multiple production applications on GCP, from issue detection and root-cause analysis through lasting remediation.
- Apply agentic AI to observability design, operational workflows, and incident investigations, including orchestrating agents and sub-agents.
- Use sound judgment when evaluating AI-generated runbooks, s, monitoring analysis, and operational recommendations.
- Validate AI-generated artifacts before they are introduced into production and maintain transparent accountability for operational outcomes.
- Identify reliability gaps, cascading failure risks, SLO burn threats, and observability blind spots proactively.
- Ensure AI/ML production systems have appropriate observability and human-in-the-loop escalation paths.
- Drive continuous improvement of production reliability and operational practices.
- Lead calmly and communicate clearly during incidents while collaborating effectively with Platform, ML, and Data teams.
- Guide junior SREs in responsible operational practices and help maintain high reliability standards across the team.