Site Reliability Engineer (GCP & Agentic AI)
UST (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end reliability initiatives for multiple production applications on Google Cloud Platform (GCP), including issue detection, root-cause analysis, and remediation.
- Leverage agentic AI to enhance observability, operational workflows, and incident investigations, while validating AI-generated artifacts before production deployment.
- Identify reliability gaps and threats proactively, ensure observability and human-in-the-loop escalation for AI/ML systems, and lead incident management with collaboration across teams.
Minimum Requirements
- Proficient-level expertise in Google Cloud Platform (GCP).
- Experience applying agentic AI capabilities in production operational workflows or reliability contexts.
- Work Experience Required: Not explicitly mentioned in the JD.
- Not explicitly mentioned: mandatory degree, notice period, or location requirements.
Ideal Candidate Profile
- Experienced in managing reliability for complex systems including batch, streaming, microservices, AI/ML model serving, and LLMOps pipelines.
- Skilled in responsible evaluation and validation of AI-generated operational artifacts with accountability for production outcomes.
- Capable of leading reliability improvement initiatives and mentoring junior SREs while collaborating effectively with platform, ML, and data teams.