Senior Lead Site Reliability Engineer

JPMorgan Chase & Co.; Plano (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Senior Lead Site Reliability Engineer to define non-functional requirements and availability targets for services across the Payments Technology team.

You will ensure NFRs are reflected in design and testing, and set service level indicators and objectives with stakeholders for production readiness. The role emphasizes AI-enabled reliability practices, incident analysis, and governance across SDLC while mentoring engineers and driving adoption of reliable, secure

Qualifications

• Formal training or certification in site reliability engineering.
• 5+ years of applied SRE experience.
• Advanced knowledge of observability, SLOs, alerting, and telemetry collection.
• Experience using enterprise AI capabilities to improve reliability workflows.
• Ability to set team practices for safe AI usage with governance and auditability.

Responsibilities

• Creates and delivers high quality designs, roadmaps, and program charters alongside the engineering team.
• Mentors technologists, acts as culture carrier and SRE adoption champion.
• Collaborates on observability and reliability designs for robust systems with minimal toil.
• Leads AI-assisted reliability workflows with traceability and security controls.

Skills

SRE principles

Observability

AI for reliability

Incident management

Job description

Elevate your engineering prowess to unprecedented levels by joining a team of exceptionally gifted professionals and position yourself among the top echelon in site reliability.
As a Senior Lead Site Reliability Engineer at JPMorgan Chase within the Corporate and Investment Bank (CIB) Management and Support Functions, Payments Technology team, you work with your fellow stakeholders to define non-functional requirements (NFRs) and availability targets for the services in your application and product lines. You will ensure those NFRs are accounted for in your products’ design and test phases, that your service level indicators are effectively measuring customer experience, and that service level objectives are defined with stakeholders and implemented in production.

Job Responsibilities

• Creates and delivers high quality designs, roadmaps, and program charters alongside the engineering team
• Acts as a key resource and mentor for technologists in your area seeking advice on technical and business issues, and serves as a culture carrier and site reliability adoption champion for your team
• Collaborates with others to create and implement observability and reliability designs for complex systems which are robust, stable, and do not incur additional toil or technical debt
• Uses enterprise-authorized AI capabilities within the work environment to accelerate reliability design and operational decisioning (e.g., incident/post-incident analysis and requirements traceability), validating outputs and handling operational data according to sensitivity and security requirements.
• Drives evolution and debugging of critical components by understanding application and platform interdependencies and limitations
• Provides comprehensive and ongoing guidance, tools, and solutions to support the firms’ growth
• Make significant contributions to JPMorganChase’s site reliability community via internal forums, communities of practice, guilds, and conferences
• Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., testing/validation automation and production readiness), ensuring traceability/auditability, resiliency, and security controls.

Required qualifications, capabilities, and skills

• Formal training or certification on site reliability engineering concepts and 5+ years applied experience
• Brings an advanced understanding of site reliability culture and principles and a track record of demonstrating how to implement site reliability within an application or platform
• Advanced knowledge and experience in observability such as white and black box monitoring, service level objectives, alerting, and telemetry collection
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve reliability engineering workflows with strong validation habits and awareness of data sensitivity.
• Ability to set team practices for safe AI usage in operations (e.g., review/approval expectations and escalation paths) while maintaining resiliency, security, and auditability outcomes.

• Advanced knowledge of software applications and technical processes with considerable depth in one or more technical disciplines

Preferred qualifications, capabilities, and skills

• Demonstrated ability to communicate data-based solutions with complex reporting and visualization methods
• Recognized as an active contributor of the engineering community
• Strong communication skills and a desire to mentor and educate others on site reliability engineering principles and practices