Java Lead Software Engineer
JPMorgan
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14,242 open software roles across 1,176 companies are on ApplySarthi right now, most of them in Bengaluru (893), Hyderabad (290), Pune (177).
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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.
AWS jobs · Java jobs · Jenkins jobs · Kafka jobs
JPMorgan has 7,039 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
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Questions you are likely to be asked
- Why do you want to join JPMorgan?
- What is your experience with Kubernetes? Tell me one thing you learned the hard way.
- 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?
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
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Practise the Java 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 JPMorgan Chase within the Commercial and Investment Bank, 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 in software engineering concepts with 5 plus years of applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced level design skills required for this role Advanced proficiency in one or more programming languages, including Java, Spring, AWS, Kubernetes, Kafka, MQ, Cassandra, Oracle, , Kubernetes, PowerMock, JMeter, Splunk, Grafana, Dynatrace, Jenkins and etc. Proficiency in automation and continuous delivery methods Advanced understanding of agile methodologies, including continuous integration and delivery, application resiliency, and security Demonstrated proficiency in cloud-native technologies, including experience with Amazon Web Services and Kubernetes Experience with data streaming technologies such as Apache Kafka and message queuing systems Demonstrated experience leading effective use of enterprise-authorized, AI-assisted software development tools — including coding, code review, test acceleration, and 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 and outputs, and adherence to resiliency and security expectations, with experience coaching engineers on safe and compliant adoption Preferred qualifications, capabilities, and skills Experience with distributed caching platform such as Gemfire or Redis Experience with behavior-driven development using Cucumber and continuous integration using Jenkins and Spinnaker Experience with database technologies such as Postgres, Oracle, Mongo DB Exceptional client relationship skills, including the ability to uncover true requirements underlying feature requests, recommend alternative technical approaches, and drive efforts to meet committed timelines Hands-on AI experience with coding and understanding core concepts Ability to self-drive delivery and take ownership end to end
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Listed on oraclehcm · posted 2026-09-11. ApplySarthi collects openings and links to application pages; the role is advertised by JPMorgan, not by us.