Lead Software Engineer
JPMorgan
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What software roles keep asking for: Python (37%), Java (30%), AWS (29%), System design (26%), C++ (25%), CI/CD (23%), Observability (22%), Kubernetes (20%) — counted across their open postings here.
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Counted across 14 company job boards, updated as roles open and close.
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- Why do you want to join JPMorgan?
- What is your experience with Java? Tell me one thing you learned the hard way.
- Walk me through a system you built. How was it designed, and what would you change now?
- Tell me about a hard bug you tracked down. How did you find the cause?
- How do you decide what to test, and what does good code review look like to you?
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Practise the Lead Software Engineer at JPMorgan interview free →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 Community and Consumer Banking, 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 Applies depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders daily to stay focused on common goals Work in a collaborative, trusting, thought-provoking environment—one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. Develops using Test Driven Development and is familiar with working in a Continual Integration environment on a shared code base. 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 Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Applies technical experience will allow you to take the lead on feature design and development, as well as allowing you to identify new features and help form the strategy and direction of the program. Provides technical leadership and mentoring while being open and inclusive, encouraging the whole team to participate in design and development Prototype and deliver AI-enabled/agentic workflows (e.g., tool-using agents, orchestration patterns, evaluation and guardrails) and translate stakeholder needs into technical designs Mentor engineers and partner with application teams to drive best practices across reliability, performance, risk, cybersecurity, and legal/compliance requirements Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Advanced knowledge of application, data and infrastructure architecture disciplines Extensive core Java (version 8 or higher) development experience with Spring or similar framework Test Driven Development using Junit Expert understanding of data structures, algorithms & multi-threaded programming Experience working on multi-threaded, high throughput mission critical high-performance platforms Experience in designing and building reusable services Experience with data security and encryption in an enterprise setting Experience with Java Spring Boot, Hibernate, Kafka, Cassandra, , Kubernetes, PowerMock, JMeter, Splunk, Grafana, Dynatrace, Jenkins, Sonar, Fortify, Black Duck, Bitbucket, JIRA, Confluence 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 with cloud native applications development (e.g. AWS, GCP, private cloud, etc.) Ability to influence architecture and design across distributed systems Knowledge of industry-wide technology trends and best practices Ability to work in large, collaborative teams to achieve organizational goals
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Listed on oraclehcm · posted 2026-09-08. ApplySarthi collects openings and links to application pages; the role is advertised by JPMorgan, not by us.