at J.P. Morgan
Bulge Bracket Investment BanksPosted 6 days ago
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**Senior Lead Site Reliability Engineer** - Guide team to design high-quality systems ensuring non-functional requirements (NFRs) and availability targets are met - Mentor technologists, drive observability improvements, and champion site reliability adoption; collaborate to create robust, stable systems without additional toil or technical debt - Utilize enterprise-authorized AI capabilities to accelerate reliability design, decision-making, and improve operational efficiency - Leverage AI for automation and production readiness, while maintaining traceability, resiliency, and security controls - Bring advanced knowledge of site reliability principles, observability, software applications, and technical processes; contribute to the engineering community - 5+ years of experience in site reliability engineering; certification in the field preferred - Strong communication skills, stakeholder management, and mentoring capabilities
- Compensation
- Not specified USD
- City
- Plano
- Country
- United States
Currency: $ (USD)
Full Job Description
Location: Plano, TX, United States
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)
- 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 JPMorganChases 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.
- 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
- 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
