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As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Banking - Markets Tech - Trading / Derivatives Execution Tech team, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
This position will support the reliability, performance, and operational integrity of electronic and equities trading systems, with a specific focus on FIX protocol connectivity. This role is hands-on and operations-oriented, partnering closely with trading, technology, and development teams to ensure stable order flow, rapid incident response, and disciplined change execution. The position emphasizes Python automation, Linux troubleshooting, and Grafana-based observability, with C++ exposure used primarily to investigate issues and collaborate effectively with Application
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Provide daily production support for electronic trading platforms, including FIX sessions/protocols, connectivity health, and order/trade workflow stability
- Monitor system health and trading-impacting signals using Grafana dashboards and alerting to improve visibility with latency, errors, throughput, and availability
- Lead incident triage and restoration activities during service degradation, including structured troubleshooting, stakeholder communications, and post-incident follow-up
- Perform root cause analysis on recurring issues and implement durable remediation, including runbook improvements, alert tuning, and operational automation
- Develops secure high-quality production code with reviewing and debugging code by using Python scripts and tools for health checks, operational workflows, reporting, and environment validation (per user-provided role intent)
- Operate and support Kafka on AWS (e.g., Amazon MSK or equivalent) with topic/partition design, consumer groups, throughput/latency tuning, security/permissions, and production troubleshooting
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automaton capabilities, to improve the value realized by automation
- Troubleshoot Linux based systems using logs, process and resource diagnostics, and network-level checks relevant to connectivity and application behavior (per user-provided role intent)
- Partner with development teams to investigate complex issues in trading components with read logs, traces, diagnostic output and the ability to interpret and discuss findings in contexts where components are implemented in C++
Required qualifications, capabilities, and skills
- Formal training or certification on Software engineering concepts and 5+ years applied experience
- Advanced in one or more programming language(s), framework(s) and tools (e.g., Python, C++, Bash Scripting, Grafana, etc.)
- Demonstrated experience in DevOps and or SRE in a mission-critical, low-latency environment, with accountability for uptime and incident execution
- Practical understanding of the FIX protocol
- Strong Linux troubleshooting capability, including log analysis, process/resource diagnostics, and command-line proficiency
Ability to collaborate effectively across trading, operations, and engineering teams, including clear incident communications under time pressure
- Proficiency in automation and continuous delivery methods, with advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Knowledge in electronic trading or equities trading environments, including familiarity with order lifecycle concepts and trading-impacting incident patterns
- Exposure to C++ sufficient to assist with investigation (e.g., reading stack traces, understanding logs and component behavior), without being a primary feature developer
- Familiarity with ATLAS (or similar internal platform/tooling used for production operations/engineering enablement).
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Familiarity with incident management disciplines, including runbooks, post-incident reviews, alert quality management, and operational readiness practices
- Basic networking knowledge relevant to troubleshooting connectivity and performance (e.g., TCP/IP behavior, port connectivity, latency sensitivity)
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
- Formal training or certification in software engineering and 5+ years applied experience
- Advanced proficiency in Python
- Experience with C++ (for reading stack traces and investigating issues)
- Bash scripting proficiency
- Strong Linux troubleshooting capability (logs, process/resource diagnostics, networking)
- Demonstrated DevOps or SRE experience in mission-critical, low-latency environments
- Practical understanding of the FIX protocol
- Experience operating and supporting Kafka on AWS (e.g., Amazon MSK)
- Experience with Grafana-based observability and alerting
- Proficiency in automation, continuous delivery (CI/CD), and application resiliency/security practices
- Demonstrated experience leading approved AI-assisted software development practices and enforcing validation/security
- Knowledge of electronic or equities trading environments and order lifecycle concepts
- Familiarity with ATLAS or similar internal production operations tooling
- Familiarity with incident management disciplines (runbooks, post-incident reviews, alert quality)
- Basic networking knowledge relevant to connectivity and performance (TCP/IP, ports, latency)
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 comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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