Software Engineer III, Electronic Colo Trading

JPMORGAN CHASE BANK, N.A.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

JPMorganChase Bank, N.A. in Singapore seeks a seasoned Software Engineer III to design and deliver trusted market-leading technology products within Infrastructure Platforms, Electronic Trading Services.

You will support Linux server fleets, automate deployments, and participate in incident response while advancing observability and secure coding practices. The role emphasizes collaboration with network, data center, and trading technology teams to optimize latency and stability, including

Qualifications

• Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines.
• Formal training or certification on software engineering concepts and 3+ years applied experience
• Professional experience administering Linux in production (e.g., RHEL-derived, Debian/Ubuntu) in a mission-critical or high-availability environment.
• Working competency troubleshooting performance and reliability issues across OS, hardware, and basic networking layers.
• Familiarity with Linux performance and troubleshooting tools and concepts (e.g., CPU/memory/disk/network analysis, process/thread behavior, system logs).
• Scripting proficiency in Bash and Python and experience automating repetitive operational tasks.
• Exposure to configuration management, CI/CD practices, monitoring/alerting, and structured root-cause analysis (direct ownership not required, but hands-on participation expected).
• Experience participating in incident management processes, including documenting events and contributing to post-incident reviews.
• Clear communication skills with the ability to explain technical issues, status, and risk to both engineering and non-engineering stakeholders.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.

Responsibilities

• Support the build, configuration, and lifecycle management of Linux server fleets supporting colo trading workloads, including provisioning, patching, hardening, and performance tuning, with guidance from senior engineers.
• Contribute to and maintain automation for OS deployment, configuration management, and continuous compliance, reducing manual effort and improving repeatability.
• Partner with network, trading technology, and data center teams to help optimize latency, throughput, and stability, including assisting with kernel and host-level tuning activities where appropriate (e.g., IRQ handling, CPU isolation, NUMA awareness, NIC settings) under established standards.
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Operate and improve observability (metrics, logs, tracing where applicable, and alerting); help translate signals into actionable runbooks and reliability improvements.
• Participate in incident response for Linux/compute-related events, including triage, mitigation, escalation, root-cause investigation support, and corrective/preventative actions; contribute to measurable reduction in recurring incidents.
• Assist with colo hardware-adjacent responsibilities as needed, including break/fix coordination, remote hands engagement, firmware alignment, and standardized rack-level practices, following approved procedures.
• Follow and help maintain secure access patterns, secrets handling, and least-privilege controls aligned with enterprise security and audit expectations.
• Contribute to capacity and reliability activities such as maintenance planning, upgrade execution, resiliency testing support, and failure-mode reviews.
• Produce clear operational documentation (runbooks, build notes, incident timelines, environment-specific procedures), and keep documentation current for colo constraints.

Skills

Linux administration

Bash

Python

CI/CD

Incident management

Automation

Security concepts

Observability

Communication

AI-assisted development

Education

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

Tools

AI-assisted development tools

Configuration management tools

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Infrastructure Platforms, Electronic Trading Services, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Support the build, configuration, and lifecycle management of Linux server fleets supporting colo trading workloads, including provisioning, patching, hardening, and performance tuning, with guidance from senior engineers.
• Contribute to and maintain automation for OS deployment, configuration management, and continuous compliance, reducing manual effort and improving repeatability.
• Partner with network, trading technology, and data center teams to help optimize latency, throughput, and stability, including assisting with kernel and host-level tuning activities where appropriate (e.g., IRQ handling, CPU isolation, NUMA awareness, NIC settings) under established standards.
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Operate and improve observability (metrics, logs, tracing where applicable, and alerting); help translate signals into actionable runbooks and reliability improvements.
• Participate in incident response for Linux/compute-related events, including triage, mitigation, escalation, root-cause investigation support, and corrective/preventative actions; contribute to measurable reduction in recurring incidents.
• Assist with colo hardware-adjacent responsibilities as needed, including break/fix coordination, remote hands engagement, firmware alignment, and standardized rack-level practices, following approved procedures.
• Follow and help maintain secure access patterns, secrets handling, and least-privilege controls aligned with enterprise security and audit expectations.
• Contribute to capacity and reliability activities such as maintenance planning, upgrade execution, resiliency testing support, and failure-mode reviews.
• Produce clear operational documentation (runbooks, build notes, incident timelines, environment-specific procedures), and keep documentation current for colo constraints.

Required qualifications, capabilities, and skills

• Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines
• Formal training or certification on software engineering concepts and 3+ years applied experience
• Professional experience administering Linux in production (e.g., RHEL-derived, Debian/Ubuntu) in a mission-critical or high-availability environment.
• Working competency troubleshooting performance and reliability issues across OS, hardware, and basic networking layers.
• Familiarity with Linux performance and troubleshooting tools and concepts (e.g., CPU/memory/disk/network analysis, process/thread behavior, system logs).
• Scripting proficiency in Bash and Python and experience automating repetitive operational tasks.
• Exposure to configuration management, CI/CD practices, monitoring/alerting, and structured root-cause analysis (direct ownership not required, but hands-on participation expected).
• Experience participating in incident management processes, including documenting events and contributing to post-incident reviews.
• Clear communication skills with the ability to explain technical issues, status, and risk to both engineering and non-engineering stakeholders.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.

Preferred qualifications, capabilities, and skills

• Experience supporting electronic trading, market connectivity platforms, or similarly latency-sensitive, high-availability environments.
• Exposure to colocation data centers, remote hands workflows, controlled maintenance windows, and strict change discipline.
• Familiarity with low-latency Linux tuning concepts (e.g., CPU pinning, interrupt tuning, time synchronization discipline), even if applied under guidance.
• Experience with infrastructure-as-code patterns and standardized golden server builds.
• Exposure to fleet management practices: automation-driven patching, configuration drift control, and compliance reporting.