Lead reliability, performance, and operational excellence for Linux-based colocated trading compute platforms. Build and automate OS lifecycle management, tune kernel/CPU/IRQ/NUMA/NIC for low latency, improve observability, lead incident response, manage hardware-adjacent colo tasks, enforce secure access and secrets handling, contribute to capacity planning and resiliency, and adopt AI-assisted SRE workflows with proper guardrails.
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.
As a Lead Site Reliability Engineer at JPMorgan Chase within the Infrastructure Platforms, Electronic Trading Services, you hold a leadership role in your team, demonstrate strong knowledge across multiple technical domains, and advise others on the technical and business issues facing them. 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. You will combine strong Linux systems administration skills with a production engineering mindset and the ability to work closely with 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 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.
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.
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.
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 Singapore, Singapore, SGP Office
One@Changi City, Changi Business Park Central 1, Singapore, Singapore, 486036
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