oracle
Lead Site Reliability Engineer
JPMorgan Chase
Bengaluru, IND
Full-time
Senior · 5+ years experience
Onsite
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- Engineer reliability into enterprise-scale platforms by writing production software: automation, control loops, self-healing, and tooling that remove manual operations rather than institutionalise them
- Build systems around declarative, intent-based design: model the desired state as data in a trusted source of truth and let automation continuously reconcile reality to it, rather than driving change through imperative, one-off scripts
- Treat data as a first-class reliability asset: instrument, collect, and reason over telemetry and state data to drive detection, diagnosis, and closed-loop remediation
- Define and operationalize SLIs and SLOs with stakeholders; implement SLO-based alerting, telemetry standards, and actionable observability
- Own services end-to-end, taking accountability for reliability, performance, security, and cost, and building operability and observability in from the start
- Share an on-call rotation and act as a technical leader during major incidents: drive triage, mitigation, communications, and blameless post-incident reviews, then engineer the durable fix
- Drive down toil measurably through automation and better engineering; treat repeated manual work as a bug to be coded out
- Work AI-native across the SDLC (AI-assisted development, code review, test generation, incident and root-cause analysis) with clear validation standards (secure coding, peer review, automated testing), so speed never compromises correctness
- Decompose ambiguous reliability problems into clear, executable work for yourself and for AI agents, and integrate the results into coherent, production-ready systems; set reliability standards and raise the engineering bar across your team and partner organizations; apply security and operational-risk judgment throughout the engineering lifecycle
- Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls.
- Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
- Formal training or certification on site reliability engineering concepts and 5+ years applied experience
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