Lead Site Reliability Engineer, Electronic Colo Trading
JPMorgan Chase · Tokyo +1 · 23d ago
Staff / Lead / PrincipalOn-siteDevOps, SRE & Infrastructure
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.
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 Lead 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
- Consistently models and champions site reliability culture and practices, documents and shares knowledge within your organization via internal forums and communities of practice
- Leads initiatives to improve the reliability and stability of your team’s applications and platforms using data-driven analytics to improve service levels, proactively identifying and solving technology-related bottlenecks in areas of expertise
- 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.
- Drives collaboration with your team to identify comprehensive service level indicators and the stakeholder partners to establish reasonable service level objectives and error budgets with your customers
- 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.
- 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.
- Serves as the main point of contact during major incidents for your application and has the skills to identify and solve the issue quickly to avoid financial loss to the business
- Offers a high level of technical expertise within one or more technical domains and provides advice and mentorship to other engineers
- 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
- 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, 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.
- 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.
- 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
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.