Java Lead Software Engineer - AWM at JPMC Candidate Experience page

City of London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

02 Oct, 26

Salary

0.0

Posted On

04 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Spring Framework, Distributed Systems, Low-latency Backend Services, Kafka, Object-Oriented Design, AI-assisted Engineering, Secure Coding, Automated Testing, Event-driven Design, Performance Engineering, Observability, Python, CI/CD, Cloud Platforms, Concurrency Tuning

Industry

Financial Services

Description

Build the next generation of liquidity trading on Morgan Money—joining a hands-on Java engineering team at JPMorganChase in Asset & Wealth Management where you’ll partner with trading stakeholders, ship frequently, and use enterprise-authorized AI-assisted practices to improve reliability, speed, and client outcomes. As a Lead Software Engineer (Java) at JPMorganChase within Morgan Money in Asset & Wealth Management, you will advance next-generation liquidity trading capabilities for corporate clients across regions. You will be a hands-on engineer building resilient, secure, high-performing Java services while partnering closely with investment and trading stakeholders to deliver measurable business outcomes. You will help strengthen engineering practices and reliability in a fast-paced environment with frequent production releases. Job responsibilities * Partner with investment and trading teams to translate business objectives into durable, measurable technical outcomes * Design, build, and operate low-latency backend services in Java with a focus on scalability, resiliency, and secure-by-design engineering * Own end-to-end delivery of features from design through production release, ensuring operational readiness and strong customer outcomes * Drive architecture and engineering decisions that improve performance, reliability, and long-term maintainability across services * Establish and uphold disciplined engineering practices, including automated testing, code review, and continuous integration and delivery * Improve observability and incident readiness through effective logging, metrics, tracing, and production diagnostics to reduce time to detect and recover * 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 applied experience * Hands-on experience delivering production-grade backend services using Java, with strong object-oriented design and debugging skills * Experience building scalable distributed systems with a focus on low-latency performance, resiliency patterns, and failure-mode thinking * Proficiency with modern Java frameworks (e.g., Spring) and dependency injection patterns to build maintainable services * Demonstrated experience implementing strong testing practices (e.g., unit, integration, and contract testing) and using automated quality gates * Experience with messaging and streaming technologies (e.g., Kafka or enterprise messaging platforms) and event-driven design patterns * Strong understanding of secure coding practices and the ability to design and implement controls that reduce operational and technology risk * 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 Preferred qualifications, capabilities and skills * Experience building and operating services on cloud platforms, including reliability and cost-aware engineering practices * Proficiency in performance engineering (profiling, latency analysis, concurrency tuning) for high-throughput Java services * Experience with observability platforms and practices (metrics, tracing, alerting strategy) to improve service health and incident response * Familiarity with liquidity, trading, or capital markets concepts and the ability to partner effectively with front-office stakeholders * Proficiency in Python for automation, tooling, or data analysis to support engineering productivity and reliability outcomes 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 [https://careers.jpmorgan.com/us/en/how-we-hire/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.

Responsibilities

Design and build low-latency, resilient Java backend services to power liquidity trading for corporate clients. Lead the adoption of AI-assisted engineering practices and partner with trading stakeholders to deliver measurable business outcomes.