As a Senior Lead Software Engineer at JPMorganChase within the Infrastructure Platforms, Electronic Trading Services, you will be a hands-on technical leader responsible for designing, building, and tuning the Linux-based compute and infrastructure platforms that power our low-latency electronic trading businesses. This is a deeply technical, engineering-first role: you will write code and automation, design new systems, architect novel deployment models, and drive latency out of the stack at the hardware, kernel, and network layers. You will also harness modern Agentic AI tooling to accelerate delivery and multiply your impact. You will work directly with the Electronic Trading Lines of Business to align technical strategy with business goals, solve complex compute and performance-engineering challenges, and mentor partner technical teams. You will serve as an expert, hands-on advisor to peers, leadership, and stakeholders.
Job 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
- Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain
- Apply knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
- 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
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 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
- 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
- Strong 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
- Solid understanding of IPv4 networking, including the OSI model, unicast/broadcast/multicast, routing, and network segregation mechanisms
- Experience designing CI/CD pipelines and infrastructure-as-code (e.g., Terraform) and practical cloud-native and container/orchestration experience (e.g., Docker, Kubernetes)
- Experience leading cross-functional teams of technologists, and hiring, developing, and recognizing talent
- 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 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, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Bachelor's degree in Computer Science, Cybersecurity, Data Science, or a related discipline
- Formal training or certification in software engineering concepts
- At least 5 years of applied software engineering experience
- Production-grade programming and automation experience with Python, Go, Bash, or similar languages
- Deep hands-on Linux engineering expertise, including administration, internals, performance tuning, and benchmarking
- Experience with Red Hat Enterprise Linux and low-latency, high-throughput environments
- Hands-on experience with kernel-bypass networking, specifically Solarflare Onload
- Extensive configuration management experience with Chef, Ansible, or similar tools
- Experience leading enterprise-authorized AI-assisted software development tools and validating outputs for correctness, performance, and security
- Understanding of responsible AI use, data sensitivity, secure input and output handling, resiliency, and security controls
- IPv4 networking knowledge, including the OSI model, unicast, broadcast, multicast, routing, and network segregation
- Experience designing CI/CD pipelines and infrastructure as code, including Terraform or similar tools
- Practical cloud-native and container orchestration experience with Docker, Kubernetes, or similar technologies
- Experience leading cross-functional technology teams and hiring, developing, and recognizing talent
- Experience supporting electronic trading, market connectivity platforms, or similarly latency-sensitive, high-availability environments
- Experience with colocation data centers, remote hands, controlled maintenance windows, and strict change discipline
- Low-latency Linux performance tuning experience, including kernel, CPU pinning, interrupt tuning, and time synchronization
- Familiarity with infrastructure-as-code patterns and standardized golden server builds
- Experience with fleet management, automated patching, and configuration drift control at scale
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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