Leads development of secure, scalable Java backend services for wealth management. Designs, builds, tests, reviews, debugs, deploys, and operates production software using Spring Boot, microservices, messaging, databases, Kubernetes, Redis, and AWS. Drives automation, operational stability, monitoring, documentation, and secure AI-assisted engineering practices. Evaluates vendor and architectural solutions while independently resolving complex technical problems and coaching engineering teams on responsible AI usage.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Asset & Wealth Management, Wealth Management Investments Platform, 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 the Asset & Wealth Management, Wealth Management Investments Platform, 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 creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Develops secure and high-quality production code, and reviews and debugs code written by others
- 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.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Proven hands-on experience delivering system design, application development, testing, and operational stability in production environments
- Advanced proficiency in Java (enterprise backend development), with strong practical experience building services using Spring Boot (or equivalent Java frameworks)
- Working knowledge of microservices, REST APIs, SQL and NoSQL databases
- Hands-on experience with Kafka, IBM MQ, Kubernetes (K8s), Redis, Amazon MSK, and AWS services to deliver scalable, efficient systems.
- Contribute to technical documentation and service APIs (Swagger/OpenAPI), ensuring strong logging, auditability, security, and monitoring.
- Hands-on cloud-native experience (AWS), including building/deploying/operating services in a cloud environment
- 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.
- Ability to tackle design and functionality problems independently with little to no oversight
Preferred qualifications, capabilities, and skills
- JavaScript / Typescript experience is a plus
- Familiarity with trading systems; exposure to the FIX protocol is a plus
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
Our Asset and Wealth Management division is driven by innovators like you who are driven to create technology solutions that make us work more efficiently and help our businesses grow. It’s our mission to efficiently take care of our clients’ wealth, helping them get, and remain properly invested. Our team of agile technologists thrive in a cloud-native environment that values continuous learning using a data-centric approach in developing innovative technology solutions.
Similar Jobs
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Leads a software engineering team responsible for designing, developing, operating, and reliably delivering core cloud-scale SailPoint products. Owns technical direction, architecture reviews, code quality, sprint execution, resource allocation, risk mitigation, and delivery metrics. Partners with Product Management and architecture leaders on roadmaps, coaches engineers, drives operational excellence, and promotes AI-assisted development. The team uses AWS, event-driven microservices, and distributed systems to build enterprise-grade identity security products.
Top Skills:
AgileAmazon BedrockAWSClaude CodeCursorDistributed SystemsEvent-Driven MicroservicesJavaNumpyPandasPythonPyTorchScikit-LearnScrumVertex Ai
Enterprise Web • Hardware • Internet of Things • Software
Provides strategic and tactical technical guidance to customers using Tulip’s no-code manufacturing platform. Responsibilities include developing technical success plans, advising on architecture and integrations, leading workshops and training, supporting implementations, driving platform adoption, establishing governance, communicating customer requirements to Product and Engineering, and supporting renewals and expansion. The role requires strong manufacturing, MES, Industry 4.0, SaaS, cloud, API, database, and customer-facing technical expertise.
Top Skills:
AIAPIsCloudDatabase SystemsIiotLow-Code PlatformsMesNo-Code PlatformsSaaSTulip
Financial Services
Supports financial planning and analysis for Risk Management and Compliance, including forecasting expenses and headcount, annual planning, financial close, variance analysis, and general ledger investigations. Partners with business and finance leaders to identify risks, trends, and opportunities. Builds automated reporting workflows, executive dashboards, and analytics solutions using SQL, Python, Alteryx, Databricks, Tableau, and planning platforms while improving controls, standardization, and process efficiency.
Top Skills:
AlteryxAnaplan XlAtotiDatabricksEssbaseHyperionExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft WordPythonSAPSQLTableau
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
