As a Lead Software Engineer at JPMorganChase within the Consumer & community 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. 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.
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus
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Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Excellent experience in Java, platform engineering, AWS, systems & solutions design, proficiency matching to frameworks/cloud design patterns developed/ test harness development, SQL/NoSQL database design, migrations. Thought leadership in engineering and engineering operations excellence in SRE & Observability, high level design, and Low-level design reviews, code reviews, test case reviews messaging systems expertise, live application/data migrations, high scale, and production support from product and platform organizations. Migration of services, APIs, systems, databases in live production. Data and metrics based results and outcomes.
- AI agents creations, Skills, RAG with MCP, Context engineering, Automated generation of full stack/backend java code/APIs, designs, code, database, test cases, and assembling solutions in real time shortening the SDLC to significantly lesser timelines and lesser workforce capacity, using prompt engineering with LLM tools such as Gemini, Claude, CoPilot and assembling solution to result in production grade services/APIs using coding and performance best practices.
- Platform engineering experience with production support of microservices focused on key performance metrics, Self-Service feature creation, Observability, and SRE experience. Secure Development life cycle, complete service ownership in DevOps model. CI/CD tooling, Static and Dynamic Code review tools usage such as SonarQube, CheckMarx. Java 17+ Spring, Spring boot, Spring Cloud microservices.
- QA/Test automation writing automated unit tests, functional tests, and end‑to‑end test automation various testing tools and frameworks such as PlayWright, Selenium, java and RPA tools. Metrics based product feature delivery for functional and non-functional requirements.
- Kafka, Rest APIs, Splunk, Dynatrace, strong SQL, NoSQL Database such as Cassandra, React based front end UI development.
- Thought leadership, Insist on High Standards, Simplify and Invent, Do the Right Things, Disagree and Commit, Earn Trust, Bias for action, Customer focus, Learn and curiosity, Mentoring, Deep Dive, Ownership, Deliver Results, Positive mindset/attitude, team working, consensus building, excellent written and oral communication skills.
- Leading small teams, but influencing broader divisions with tech assets created, owning estimations & timelines.
- 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.
- Practical cloud native experience
Skills Required
- Formal training or certification in software engineering concepts
- At least 5 years of applied software engineering experience
- Expertise in Java, including Java 17 or later
- Platform engineering and practical cloud-native experience, including AWS
- Systems and solutions design, high-level and low-level design reviews
- SQL and NoSQL database design and migrations, including Cassandra
- Software development life cycle, DevOps, CI/CD, secure development, SRE, and observability experience
- Java Spring, Spring Boot, Spring Cloud, and microservices experience
- Production support, service ownership, live application and data migrations, and high-scale systems experience
- Experience with AI agents, RAG, MCP, context engineering, prompt engineering, and LLM-assisted software development
- Experience using enterprise-authorized AI tools such as Gemini, Claude, or Copilot
- Responsible AI practices, including secure handling of inputs and outputs and validation of AI-generated results
- Automated unit, functional, and end-to-end testing experience
- Experience with Playwright, Selenium, Java testing frameworks, or RPA tools
- Kafka, REST APIs, Splunk, and Dynatrace experience
- Experience with static and dynamic code analysis tools such as SonarQube and Checkmarx
- React-based front-end UI development experience
- Experience leading small teams, mentoring engineers, and influencing broader technical organizations
- Strong written, oral, collaboration, consensus-building, and communication skills
- Ability to own technical estimations and timelines
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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