indeed
Lead Site Reliability Engineer + AWS
JPMorganChase
Karnataka, IND
Full-time
Onsite
Discovered 2 weeks ago
Site reliability engineeringReliability, scalability, and performance engineeringEnterprise system architectureProgramming language fluencyObservability, monitoring, and telemetrySLOs, SLIs, alerting, and error budgets
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Site reliability engineeringReliability, scalability, and performance engineeringEnterprise system architecture
Role Overview
Lead Site Reliability Engineer role within the Commercial and Investment Bank’s Global Banking Technology team.
The role provides technical leadership, resiliency expertise, mentoring, and advice on technical and business issues.
Key Skills for This Role
Site reliability engineeringReliability, scalability, and performance engineeringEnterprise system architectureProgramming language fluencyObservability, monitoring, and telemetrySLOs, SLIs, alerting, and error budgets
Full Job Posting
Role Overview
Lead Site Reliability Engineer role within the Commercial and Investment Bank’s Global Banking Technology team.
The role provides technical leadership, resiliency expertise, mentoring, and advice on technical and business issues.
Core Responsibilities
- Champion site reliability culture and practices across the team.
- Improve application and platform reliability and stability using data-driven analytics.
- Define service-level indicators, service-level objectives, and error budgets with stakeholders and customers.
- Conduct resiliency design reviews and lead technical work for medium- to large-sized products.
- Identify and resolve technology bottlenecks across relevant technical domains.
- Act as the main point of contact during major incidents and resolve issues quickly to avoid financial losses.
- Document and share knowledge through internal forums and communities of practice.
AI-Assisted Reliability
- Use enterprise-authorized AI capabilities for major-incident triage, troubleshooting, post-incident analysis, and knowledge capture.
- Lead reuse-first adoption of AI-assisted reliability workflows across CI/CD quality checks, test automation, validation, and operational readiness.
- Validate AI outputs, evaluate operational recommendations for correctness and risk, and establish usage guardrails.
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