





Tier-1 brand and metro location increase candidate density, while senior SRE specialization narrows the pool.
Requires enterprise SRE, observability, and security expertise, reducing cross-industry transferability.
Explicit 10+ years, mandatory SRE leadership, Python and observability tool requirements make screening highly stringent.
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Define and lead the multi-year SRE vision, strategy, and operating model for global Production Management, aligning with Commercial & Investment Bank and JPM Global Technology priorities.
Build and develop a high-impact SRE team and foster reliability engineering practices across production support and engineering teams, including implementing standards for SLO/SLI frameworks, incident response, resiliency, and observability.
Drive AI-enabled capabilities to automate operational workflows, improve incident response, and increase automation and reliability across SDLC and production environments with strong attention to risk and security controls.
10+ years of experience in technology support, production/application support, DevOps, or infrastructure management.
Demonstrated leadership experience in SRE/reliability or production engineering transformations in complex enterprise environments.
Expertise in Python programming and deep practical knowledge of SRE fundamentals such as SLO/SLI, error budgets, incident management, observability, resilience engineering, and capacity/performance management.
Experience working with telemetry collection tools/standards (e.g., Prometheus, OpenTelemetry, Datadog) and delivering automation at scale including CI/CD integration.
Experienced in leading SRE transformations in large, global financial or similarly complex enterprise technology settings with strong strategic and operational ownership.
Demonstrates strong leadership skills including coaching, influencing without authority, and community-building within distributed engineering and support teams.
Skilled in applying enterprise-authorized AI technologies responsibly in production workflows, balancing automation benefits with risk management, security, and data sensitivity awareness.