JP Morgan Chase

Runs a consumer bank and an investment bank

Software Engineer 3 - Java Developer + AWS

Backend EngineeringConfirmed live in the last 24 hours

Full-timeMumbai, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts and at least 3 years of applied experience.
Hands-on practical experience in system design, application development, testing, and operational stability.
Hands-on experience with Java, Spring, AWS, Terraform, Kafka or Streams, Oracle Database, and microservices architecture.
Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database querying languages.
Hands-on experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, with the ability to evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective use within team practices.
Overall knowledge of the Software Development Life Cycle.
Solid understanding of agile methodologies, including continuous integration and continuous delivery, application resiliency, and security.

Responsibilities

Execute software solutions, design, development, and technical troubleshooting, using approaches beyond routine methods to build solutions or break down technical problems.
Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
Use enterprise-authorized AI coding-assistance tools to improve code quality, delivery speed, and productivity on complex deliverables, validating outputs through peer review, automated testing, and secure coding standards; contribute learnings and reusable patterns to improve team effectiveness.
Apply knowledge of Software Development Life Cycle tools, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized through automation.
Produce architecture and design artifacts for complex applications and ensure design constraints are met during software development.
Gather, analyze, synthesize, and create visualizations and reports from large, diverse data sets to support continuous improvement of software applications and systems.
Identify hidden problems and patterns in data and use insights to improve coding hygiene and system architecture.
Apply practical understanding of large language model orchestration, retrieval-augmented generation, tool calling, prompt engineering, and dynamic reasoning.

Desired Qualifications

Familiarity with modern front-end technologies.
Exposure to cloud technologies.
Experience with Spring Boot, Java, and AWS.
Knowledge of API security best practices and SDK integration patterns.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III - Java Developer + AWS at JPMorgan Chase within the Commercial & Investment Bank - Payments Technology team, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable.

Job responsibilities

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
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.
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
Practical understanding of LLM orchestration, RAG, tool calling, prompt engineering, and dynamic reasoning

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
Hands-on experience in JAVA, Spring, AWS, Terraform, Kafka/Streams, Oracle DB, Microservices-architecture
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
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.
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies
Exposure to cloud technologies
Has experience Spring boot, Java, AWS experience
Knowledge of API security best practices and SDK integration patterns

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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