Software Engineer III - Java & Kafka Developer at JPMC Candidate Experience page

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

15 Sep, 26

Salary

0.0

Posted On

17 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Kafka, Spring Boot, Microservices, System Design, Oracle, MySQL, CI/CD, Agile, JUnit, Apache Camel, RESTful HTTP, Redis, Hazelcast, AI-assisted development, Multi-threading

Industry

Financial Services

Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities * Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems * Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems * Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development * Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems * Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture * Contributes to software engineering communities of practice and events that explore new and emerging technologies * Adds to team culture of diversity, opportunity, inclusion, and respect * Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. * 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 3+ years applied experience * Hands-on practical experience in system design, application development, testing, and operational stability * Experience with Core Java / Design Patterns: Java 8 +, Multi-threading, Exception Handling, Defensive Programming, Microservices, Java Design Patterns * Experience in 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. Distributed Cache: Hazelcast, Redis, Memcached, Gemfire * Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages * Overall knowledge of the Software Development Life Cycle * Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security * Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) * Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. * Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team 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

Responsibilities

Design and deliver secure, scalable technology products as part of an agile team within the Commercial & Investment Bank. Responsibilities include developing high-quality production code, creating architecture artifacts, and leveraging AI tools to improve productivity.