Senior Lead Software Engineer - Fullstack
JPMorgan
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This role on the market
782 open fullstack roles across 166 companies are on ApplySarthi right now, most of them in Bengaluru (23), Hyderabad (14), Pune (3).
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What fullstack roles keep asking for: React (32%), TypeScript (24%), Java (20%), Agile (19%), Python (17%), JavaScript (17%), CI/CD (17%), Docker (16%) — counted across their open postings here.
Software Engineer jobs in the United States · Remote Software Engineer jobs · CI/CD jobs · Java jobs · JavaScript jobs · Jenkins 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.
Preparing for this interview
Interviews for fullstack roles keep coming back to React, TypeScript, Java, Agile. Practise those questions before you sit with JPMorgan.
Questions you are likely to be asked
- Why do you want to join JPMorgan?
- What is your experience with Agile? Tell me one thing you learned the hard way.
- 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?
- How would you design an API for a feature you have worked on?
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Practise the Senior Lead Software Engineer - Fullstack at JPMorgan interview free →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 Senior Lead Software Engineer at JPMorganChase within the Global Finance Technology , 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job responsibilities: Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Coach and develop a high-performing team both locally and remotely 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 Collaborate with end users and product teams to ensure timely alignment of technical deliverables. Escalate project delivery risks to senior stakeholders across technology, product, and business, along with a mitigation plan. Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Required qualifications, capabilities, and skills: Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise. 10+ Years of building enterprise grade software products Expertise in Java, Spring Core, Spring Boot, REST APIs, JPA (OR) Python and relevant microservices framework. Expertise in JavaScript, Typescript, React and popular test framework for UI Proficiency in Object-Oriented Design (OOD) and Test Driven Development (TTD), with hands-on experience in test automation frameworks like Junit, Mockito, Playwright and Cucumber. Strong understanding of security standards such as OAuth, TLS, and Kerberos. Familiarity with log/metric collection and monitoring technologies like ELK stack, Prometheus, Grafana, AppDynamics, and Splunk. Proficiency in using Agentic AI Coding assistance such as Copilot, Claude, Windsurf, Gemini. Experience with event-driven processing using Kafka, and other AMQP framework. Hands-on experience with building CI/CD pipelines using Git, Maven, Jenkins, SonarQube, and Fortify. 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 Preferred qualifications, capabilities, and skills: Agile software development experience adhering to a product operating model. Experience in building enterprise solution focused on Data Analytics will be beneficial Experience in Finance Reporting will be beneficial Experience in building cloud-native web applications. Exposure to NoSQL databases such as Cassandra Experience in LLM based implementations will be beneficial Knowledge of Domain Driven Design, microservices patterns, and modern architectures.
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Listed on oraclehcm · posted 2026-09-03. ApplySarthi collects openings and links to application pages; the role is advertised by JPMorgan, not by us.