Assume a critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers in site reliability.
Job responsibilities
- Own the build, configuration, and lifecycle management of Linux server fleets supporting colo trading workloads, including provisioning, patching, hardening, and performance tuning.
- Engineer and maintain automation for OS deployment, configuration management, and continuous compliance, with a bias toward reducing manual touch and improving repeatability.
- Partner with network, trading technology, and data center teams to optimize latency, throughput, and stability, including kernel, IRQ, CPU isolation, NUMA, and NIC tuning where appropriate.
- Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
- Operate and improve observability across the stack, including metrics, logs, and alerting, and translate signals into actionable runbooks and service-level improvements.
- Lead incident response for Linux/compute-related events, including rapid triage, mitigation, root-cause analysis, and corrective/preventative actions; drive measurable reduction in recurring incidents.
- Manage hardware-adjacent responsibilities typical of colo environments, including server break/fix coordination, remote hands engagement, firmware alignment, and standardized rack-level practices.
- Implement and maintain secure access patterns, secrets handling, and least-privilege controls aligned to enterprise security and audit expectations.
- Contribute to capacity planning and reliability engineering, including failure-mode thinking, maintenance windows, upgrade strategies, and resiliency testing.
- Produce clear operational documentation, including build standards, runbooks, incident reports, and environment-specific procedures for colo constraints.
- Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls.
Required qualifications, capabilities, and skills
- 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
- 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, with the ability to identify and resolve complex reliability and latency issues in production environments.
- 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 to drive operational excellence and service reliability.
- Demonstrated experience automating system administration tasks using scripting and/or configuration management.
- Hands-on incident management experience, including participation in on-call rotations and executing structured post-incident reviews.
- Ability to communicate clearly with both engineering and non-engineering stakeholders, including translating technical issues into business impact.
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity.
- 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.
- Experience supporting electronic trading, market connectivity platforms, or similarly latency-sensitive, high-availability environments.
- Exposure to colocation data centers, including working with remote hands, controlled maintenance windows, and strict change discipline.
- Experience with performance tuning for low-latency Linux environments (e.g., kernel/CPU pinning strategies, interrupt tuning, time sync discipline).
- Familiarity with infrastructure-as-code patterns and building standardized “golden” server builds.
- Experience operating at scale, including fleet management practices, automation-driven patching, and configuration drift control.
High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.
Skills Required
- Bachelor's degree in Computer Science, Cybersecurity, Data Science, or related discipline
- Formal training or certification on site reliability engineering concepts and 5+ years applied experience
- Professional experience administering Linux in production (RHEL-derived, Debian/Ubuntu) in a mission-critical environment
- Strong operational competency 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
- Hands-on experience with configuration management, CI/CD practices, monitoring, observability, and root-cause analysis
- Demonstrated experience automating system administration tasks using scripting and/or configuration management
- Hands-on incident management experience, including on-call rotations and executing post-incident reviews
- Demonstrated experience using enterprise-authorized AI capabilities to improve SRE workflows with strong validation and data sensitivity awareness
- Ability to evaluate AI-assisted operational recommendations, define guardrails, and ensure resiliency and security alignment
- Ability to communicate clearly with engineering and non-engineering stakeholders, translating technical issues into business impact
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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