Senior Lead Software Engineer- Platform / Linux Engineering

About the role

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer- Platform / Linux Engineering at JPMorganChase within the Corporate Sector- Infrastructure Platforms, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

Responsibilities

• Design, build, and operate high-performance Linux platforms for low-latency electronic trading, engineering from the hardware and kernel level up
• Architect new system designs and next-generation deployment models — including immutable infrastructure, containerization, and automated provisioning pipelines
• Perform deep performance engineering and latency optimization: kernel tuning, CPU isolation/pinning, NUMA awareness, IRQ affinity, kernel-bypass networking, and precision time synchronization
• Write production-quality code and automation to build tooling, eliminate manual toil, and improve platform reliability and speed
• Leverage Agentic AI tools and workflows to accelerate engineering tasks, automate research and remediation, and deliver against goals faster
• Harness modern Agentic AI tooling to accelerate engineering tasks, automate research and remediation, and deliver against goals faster
• Interface with hardware and software vendors on product roadmaps and to define the next generation of Electronic Trading Platform infrastructure
• Make decisions that influence teams' resources, budget, tactical operations, and the execution of processes and procedures
• Carry governance accountability for engineering decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
• Deliver reusable technical solutions that can be leveraged across multiple businesses and domains and mentor and influence SRE, peer engineers, and senior stakeholders across business, product, and technology teams

Requirements

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Strong programming skills with the ability to build production-grade tooling and automation (e.g., Python, Go, Bash)
• Deep, hands-on Linux engineering expertise — administration, internals, performance tuning, and benchmarking, in areas such as Red Hat Enterprise Linux and proven experience engineering for low-latency, high-throughput environments (kernel tuning, CPU/NUMA optimization, precision timing)
• Hands-on experience with kernel-bypass networking, specifically Solarflare Onload and extensive experience with configuration management, in areas such as Chef or Ansible
• Hands-on experience applying Agentic AI tools (e.g., AI coding assistants and agent-based workflows) to accelerate engineering and operational tasks
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Solid understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls
• Strong understanding of IPv4 networking, including the OSI model, unicast/broadcast/multicast, routing, and network segregation mechanisms
• Practical cloud-native and container/orchestration experience (e.g., Docker, Kubernetes)
• Experience leading cross-functional teams of technologists, and hiring, developing, and recognizing talent

Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Strong programming skills with the ability to build production-grade tooling and automation (e.g., Python, Go, Bash)
• Deep, hands-on Linux engineering expertise — administration, internals, performance tuning, and benchmarking, in areas such as Red Hat Enterprise Linux and proven experience engineering for low-latency, high-throughput environments (kernel tuning, CPU/NUMA optimization, precision timing)
• Hands-on experience with kernel-bypass networking, specifically Solarflare Onload and extensive experience with configuration management, in areas such as Chef or Ansible
• Hands-on experience applying Agentic AI tools (e.g., AI coding assistants and agent-based workflows) to accelerate engineering and operational tasks
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Solid understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls
• Strong understanding of IPv4 networking, including the OSI model, unicast/broadcast/multicast, routing, and network segregation mechanisms
• Practical cloud-native and container/orchestration experience (e.g., Docker, Kubernetes)
• Experience leading cross-functional teams of technologists, and hiring, developing, and recognizing talent

Benefits

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.

Pay

Our total compensation package includes base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, awarded in recognition of individual achievements and contributions.

Schedule

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, awarded in recognition of individual achievements and contributions.