JPMorganChase Logo

JPMorganChase

Senior Lead Site Reliability Engineer, Electronic Colo Trading

Reposted 11 Hours Ago
Be an Early Applicant
Hybrid
Tokyo
Senior level
Hybrid
Tokyo
Senior level
Lead reliability, performance, and lifecycle management of Linux server fleets supporting colocated, low-latency trading. Build automation for OS deployment, configuration management, observability, and incident response; optimize kernel/CPU/NUMA/NIC tuning; manage hardware-adjacent colo operations; enforce secure access and AI-assisted reliability workflows; produce runbooks, post-incident analysis, and capacity/resiliency planning.
The summary above was generated by AI

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 Principal Site Reliability Engineer at JPMorgan Chase within the Infrastructure Platforms, Electronic Trading Services, 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 be responsible for the reliability, performance, and operational excellence of Linux-based compute platforms that support electronic, colocated (colo) trading. This role will focus 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. The ideal candidate combines strong Linux systems administration skills with a production engineering mindset and comfort working close to hardware and networks in a high-availability environment.

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 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.
  • 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., testing/validation automation and production 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 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.
 
Preferred qualifications, capabilities, and skills
  • 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.

About UsJ.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. 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. Visit our FAQs for more information about requesting an accommodation.
About the Team Our Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you’ll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You’ll work in a stable, resilient and secure operating environment where you—and the products you deliver—will thrive.

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.


JPMorganChase San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

6 Hours Ago
In-Office or Remote
USA
116K-193K Annually
Senior level
116K-193K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads strategic feasibility analytics for global clinical trials, developing evidence-based country, site, enrollment, and protocol optimization strategies. Partners with cross-functional teams to assess recruitment assumptions, competitive intelligence, real-world data, site performance, and clinical trial technologies. Oversees feasibility outreach, site selection, scenario planning, portfolio intelligence, and KPI delivery while improving study startup and recruitment processes. Provides senior-level recommendations and influences stakeholders across Pfizer’s clinical development organization.
Top Skills: Decentralized Clinical Trial (Dct) TechnologiesProtocol SimulationsReal-World Data AnalyticsSite Predictability Engine
13 Hours Ago
Hybrid
20M-25M Annually
Senior level
20M-25M Annually
Senior level
Fintech • Mobile • Payments • Software • Financial Services
Lead internal audit activities for Wise entities in Japan, including audit planning, risk assessment, engagement delivery, team supervision, continuous monitoring, and recommendation tracking. Develop data-driven and technology-enabled assurance practices, collaborate with internal and external stakeholders, and liaise with Japanese regulators and auditors. The role requires expertise in Japanese financial regulations, leadership of complex audits, and strong Japanese and English communication skills.
Top Skills: Automated Audit RoutinesContinuous MonitoringData Analytics
15 Hours Ago
Easy Apply
Hybrid
Easy Apply
Senior level
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Provide technical expertise and strategic advice to enterprise customers, own technical sales processes, and deliver sales pitches, demonstrations, and whiteboard presentations. The role requires pre-sales experience selling security or networking solutions, proficiency in HTTP and web technologies, Japanese fluency, and foundational AI/ML knowledge. Preferred experience includes routing and switching, SaaS technologies, network security frameworks, and administration of macOS, UNIX/Linux, and Windows systems.
Top Skills: Ai/MlHTTPmacOSNetwork Security FrameworksRouting And SwitchingSaaSSaseUnix/LinuxWeb TechnologiesWindowsZero Trust

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account