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Senior Lead Site Reliability Engineer- ETS Network

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: JPMorgan Chase
Full Time position
Listed on 2026-06-22
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing: Infrastructure & Operations, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below

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 enterprise technology, Electronic Trading Services 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
  • Apply technical expertise and problem‑solving methodologies to projects of moderate scope and drive work streams or projects involving one or more infrastructure engineering technologies
  • Provides comprehensive and ongoing guidance, tools, and solutions to support the firms' growth
  • Make significant contributions to JPMorgan

    Chase'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
  • Execute creative solutions for design, development, and technical troubleshooting for problems of moderate complexity
  • Consider upstream and downstream data, systems, and technical implications, advising on mitigation actions
  • Collaborate with other platforms to architect and implement changes that resolve issues and modernize technology processes
Required Qualifications , Capabilities, and Skills
  • Formal training or certification on site reliability engineering concepts and 5+ years applied experience (NAMR/APAC – India/LATAM/Hong Kong)
  • 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
  • Possess deep knowledge in one or more areas of infrastructure engineering, such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments
  • Demonstrate expertise in a specific infrastructure technology and scripting languages (e.g., Python)
  • 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
  • Show commitment to developing technical and cross‑functional knowledge beyond your product area
  • 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…
Position Requirements
10+ Years work experience
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