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The Role
Leads development of high-performance, latency-sensitive trading systems using Java and Python. Oversees architecture, coding, testing, APIs, integration strategies, observability, resilience, security, incident response, and operational readiness. Guides agile delivery through technical planning, code reviews, retrospectives, and mentoring. Establishes responsible use of AI-assisted engineering tools and validates outputs for correctness, performance, and security in a regulated financial environment.
Summary Generated by Built In
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 Lead Software Engineer at JPMorganChase within Digital Markets Execution Technology, Execute, 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.
Job responsibilities
As a Lead Software Engineer at JPMorganChase within Digital Markets Execution Technology, Execute, 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.
Job responsibilities
- Executes and oversees end-to-end software solutions, engineering standards, architecture, and technical troubleshooting for trading systems
- Designs and builds high-performance, latency-sensitive services with awareness of upstream/downstream system dependencies
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Leads technical analysis, estimation, planning, code reviews, architecture sessions, and retrospectives to drive delivery outcomes
- Establishes reliability goals and implements observability, resilience patterns, and operational readiness practices
- Leads incident response and post-incident reviews to improve production stability and performance; identifies recurring issues and drives automation/remediation
- Upholds secure-by-default engineering practices and risk/control standards across the SDLC
- Guides integration contracts, API/versioning strategies, and deprecation paths for platform services
- Drives team adoption of enterprise-authorized AI-assisted engineering practices across the SDLC toolchain to improve code quality, delivery speed, and operational outcomes, while setting validation standards for correctness, performance, and security
- Mentors engineers and contributes to a culture of inclusion, respectful collaboration, and continuous improvement aligned to measurable outcomes
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and advanced applied experience in Java / Python
- Hands-on practical experience delivering system design, application development, testing, and operational stability for mission-critical platforms
- Advanced in one or more programming language(s), with deep hands-on expertise in Java (17+), including concurrency, memory management, and object-oriented design
- Demonstrated experience designing clean APIs and rollout strategies for distributed systems (including integration and backward compatibility considerations)
- Practical experience with Spring/Spring Boot, microservices, Kubernetes, Linux, and core networking/messaging concepts
- Proficient in all aspects of the Software Development Life Cycle, including CI/CD, automated testing practices, application resiliency, and security
- Demonstrated experience leading effective use of enterprise-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 and secure handling of inputs/outputs, aligned to resiliency and security expectations
- Effective communication with technical and non-technical audiences; ability to operate in globally distributed teams
Preferred qualifications, capabilities, and skills
- Exposure to messaging systems and market protocols (e.g., MQ/Kafka; familiarity with FIX and Solace)
- Experience with observability stacks and resilience engineering for low-latency / latency-sensitive platforms
- Familiarity with Python
Experience operating services in regulated environments with strong auditability and controls
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.
Skills Required
- Formal training or certification in software engineering concepts
- Advanced applied experience with Java and Python
- Experience delivering system design, application development, testing, and operational stability for mission-critical platforms
- Deep hands-on expertise in Java 17+, including concurrency, memory management, and object-oriented design
- Experience designing clean APIs and rollout strategies for distributed systems
- Experience with Spring or Spring Boot, microservices, Kubernetes, Linux, and networking or messaging concepts
- Proficiency across the software development lifecycle, including CI/CD, automated testing, resiliency, and security
- Experience leading enterprise-approved AI-assisted software development tools and validating AI outputs
- Understanding of responsible AI use, data sensitivity, and secure handling of inputs and outputs
- Effective communication with technical and non-technical audiences and ability to work in globally distributed teams
- Exposure to messaging systems and market protocols such as MQ, Kafka, FIX, or Solace
- Experience with observability stacks and resilience engineering for low-latency platforms
- Familiarity with Python
- Experience operating services in regulated environments with strong auditability and controls
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.
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The Company
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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