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About the Role

As a Lead Site Reliability Engineer at JPMorgan Chase within the Infrastructure Platforms, Electronic Trading Services, you will work with stakeholders to define non-functional requirements and availability targets for services. You will be responsible for the reliability, performance, and operational excellence of Linux-based compute platforms supporting electronic, colocated trading. This role focuses on building and operating highly resilient, low-latency infrastructure in data centers where milliseconds matter, with an emphasis on automation, standardization, and disciplined incident management.

Responsibilities

Consistently model and champion site reliability culture and practices, documenting and sharing knowledge within your organization.
Lead initiatives to improve the reliability and stability of applications and platforms using data-driven analytics.
Partner with network, trading technology, and data center teams to optimize latency, throughput, and stability.
Drive collaboration to identify service level indicators and establish service level objectives and error budgets with customers.
Operate and improve observability across the stack, including metrics, logs, and alerting, and translate signals into actionable runbooks.
Lead incident response for Linux/compute-related events, including triage, mitigation, root-cause analysis, and corrective actions.
Manage hardware-adjacent responsibilities typical of colo environments, including server break/fix coordination and firmware alignment.
Use enterprise-authorized AI capabilities to accelerate major-incident triage, troubleshooting, and post-incident analysis.
Serve as the main point of contact during major incidents for your application and quickly identify and solve issues.
Offer a high level of technical expertise and provide advice and mentorship to other engineers.
Lead reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices.

Requirements

Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines.
Formal training or certification on site reliability engineering concepts and 5+ years applied experience.
Demonstrated proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices.
Professional experience administering Linux in production (e.g., RHEL-derived, Debian/Ubuntu) in a mission-critical environment.
Strong operational competency in troubleshooting performance and reliability issues across OS, hardware, and basic networking layers.
Strong expertise in Linux internals, performance tuning, and troubleshooting using enterprise-standard diagnostic tools.
Proficiency in infrastructure automation using Bash and Python or Go, with hands-on experience in configuration management, CI/CD practices, monitoring, observability, and root-cause analysis.
Demonstrated experience automating system administration tasks using scripting and/or configuration management.
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows.
Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations.
Advanced knowledge of software applications and technical processes with emerging depth in one or more technical disciplines, and actively self-educates to evaluate and recommend suitable new technologies.

Skills

Linux systems administration
Production engineering
High-availability environments
Automation
Standardization
Incident management
Kernel tuning
IRQ tuning
CPU isolation
NUMA tuning
NIC tuning
Metrics
Logging
Alerting
Runbooks
Incident response
Triage
Mitigation
Root-cause analysis
Corrective actions
Preventative actions
Server break/fix coordination
Remote hands engagement
Firmware alignment
Standardized rack-level practices
AI capabilities
Troubleshooting
Bash
Python
Go
Configuration management
CI/CD practices
Monitoring
Observability
Performance tuning
Low-latency environments
Infrastructure-as-code
Fleet management
Patching
Configuration drift control

Location

Data centers

Work Type

Onsite

Experience Level

5+ years applied experience
Lead

Education Level

Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines

About the Company

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors.
Our first-class business in a first-class way approach to serving clients drives everything we do.
We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing.
Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Equal Opportunity

We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.
We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.