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 JPMorgan Chase, 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 delivering critical technology solutions supporting the Equities Broker Dealer and Prime Finance platform, including securities lending, trade lifecycle, and clearing & settlement capabilities, in alignment with the firm’s business objectives. You will also integrate AI/ML and GenAI capabilities into core platforms in a way that is secure, governable, and operable at enterprise scale.
Job Responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with the ability to solve complex problems and deliver scalable solutions across distributed systems and microservices architectures
- Develops secure, high-quality production code, and reviews and debugs code written by others to ensure engineering excellence
- Build and integrate AI/ML and GenAI into production platforms—LLMs, RAG, embeddings, vector databases, and MLOps for lifecycle management, monitoring, and governance.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability, resiliency, and performance of applications
- Drives architecture and design decisions influencing system scalability, performance, and long-term platform evolution
- Leads evaluation sessions with internal teams and stakeholders to assess architectural designs and ensure alignment with enterprise technology strategies
- Contributes to platform modernization through adoption of cloud-native, event-driven, and microservices-based architectures
- Partners with business, product, and operations teams to translate Prime Finance and Broker Dealer requirements into scalable technical solutions
- Ensures robust delivery across environments with strong focus on SDLC, testing (unit, SIT, UAT), and production stability
- 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 automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years of applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability in large-scale enterprise environments
- Advanced proficiency in Java, Spring Boot and REST APIs programming language within microservices in a distributed systems architecture
- Strong experience withRelational databases (Oracle/DB2) and/or NoSQL (MongoDB) and CI/CD pipelines, DevOps, and automation practices
- Proficient in all aspects of the Software Development Life Cycle (SDLC)
- Strong problem-solving, analytical, and stakeholder communication skills
- Demonstrated proficiency in building high-volume, low-latency, mission-critical financial systems
- Hands-on experience integrating AI/ML and GenAI into enterprise applications, including LLMs, RAG pipelines, embeddings, vector stores/databases, model evaluation, and production monitoring (MLOps).
- 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
- Practical experience working across cross-functional teams in complex enterprise organizations
Preferred qualifications, skills, and capabilities
- Cloud-native development (AWS or equivalent)
- Exposure to Prime Finance, Securities Lending, or Broker Dealer platforms
- Experience with event-driven architectures (Kafka, MQ) and messaging systems
- Familiarity with modern front-end technologies (React, UI frameworks)
- Exposure to domain-driven design, full-stack development, and modern architectural patterns
- Experience with observability tools (Splunk, Grafana, Prometheus, ELK)
- Interest in adopting emerging technologies (AI-assisted development, automation, advanced analytics)
About Us
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 on software engineering concepts and 5+ years of applied experience
- Hands-on experience with system design, application development, testing, and operational stability in large-scale enterprise environments
- Advanced proficiency in Java, Spring Boot and REST APIs within microservices/distributed systems
- Experience with relational databases (Oracle/DB2) and/or NoSQL (MongoDB), CI/CD pipelines, DevOps, and automation practices
- Proficiency in all aspects of the Software Development Life Cycle (SDLC)
- Strong problem-solving, analytical, and stakeholder communication skills
- Proven experience building high-volume, low-latency, mission-critical financial systems
- Hands-on experience integrating AI/ML and GenAI into enterprise applications (LLMs, RAG pipelines, embeddings, vector stores, model evaluation, MLOps)
- Experience leading adoption and validation of AI-assisted software development tools and practices
- Strong understanding of responsible AI use, data sensitivity, secure handling, and coaching engineers on safe adoption
- Practical experience working across cross-functional teams in complex enterprise organizations
- Cloud-native development (AWS or equivalent)
- Exposure to Prime Finance, Securities Lending, or Broker Dealer platforms
- Experience with event-driven architectures and messaging systems (Kafka, MQ)
- Familiarity with modern front-end technologies (React) and full-stack development
- Experience with observability tools (Splunk, Grafana, Prometheus, ELK)
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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