Lead technical design and deliver secure, high-quality Java-based systems. Develop, review, and troubleshoot code; drive automation, CI/CD, resiliency, and AI-assisted engineering adoption; mentor teams and evaluate vendor architectures to support financial services platforms.
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 & 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 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
- 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
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Adds to team culture of diversity, opportunity, inclusion, and respect
- 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 practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s)
- Proficiency in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- In-depth knowledge of the financial services industry and their IT systems. Practical cloud native experience
- Hands on experience with Core Java / Design Patterns: Java 8 +, Multi-threading, Exception Handling, Defensive Programming, Microservices, Java Design Patterns. Software Frameworks: Spring Core Framework, Spring Boot, Spring Integration, Apache Camel, Log4j 2.x / Logback. Testing Frameworks: JUnit, Powermock / Mockito, Cucumber, Mutation Testing, Selenium. Messaging Protocols: Kafka, IBM MQ' Active MQ, RESTful HTTP. Database: Oracle, MySQL and Distributed Cache: Hazelcast, Redis, Memcached, Gemfire
- 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
- Agile Scrum experience will be an added consideration along with the technical skills set.
- Knowledge of Payments in Banking domain, AWS/Private Cloud, Docker/Kubernetes will be a plus.
JPMorganChase Bengaluru, Karnataka, IND Office
Devarabeesanahalli, Bellandur, Outer Ring Road, Bengaluru, Karnataka, India, 560103
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