Software Engineer III - Java Full Stack

JPMorgan Chase & Co.; Bengaluru; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

JPMorgan Chase & Co. in Bengaluru is seeking a Software Engineer III to join the Asset and Wealth Management Technology team.

You will be a seasoned member of an agile team delivering trusted, secure, scalable technology products to support the firm’s objectives. You will design, build, and operate microservices and APIs in Java (primary) and Python, work with Kafka for streaming, and apply AI-assisted development tools under secure coding standards to improve quality and speed across complex

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Experience in system design, application development, testing, and operational stability.
• Experience in large corporate environments with modern programming languages and database querying languages.
• Proficiency in Java and React; microservices with Java; willingness to learn new tech.
• Hands-on experience with Kafka processing/streaming; delivery semantics and monitoring.
• Experience with Private Cloud and cloud platforms; RESTful APIs and JSON.
• Hands-on with enterprise AI-assisted development tools; maintain secure coding standards.
• Understanding of responsible AI use, data handling, resiliency, and security.
• Strong knowledge of CI/CD, resiliency, and security practices.

Responsibilities

• Executes software solutions, design, development, and troubleshooting with ability to go beyond routine approaches.
• Creates secure, high-quality production code; maintains algorithms interfacing with systems.
• Designs, builds, and operates microservices and APIs using Java and Python with testing and observability.
• Builds and supports event-driven/data streaming solutions using Kafka with monitoring.
• Leverages AI coding assist tools to improve code quality and productivity, with peer validation.
• Applies SDLC toolchain knowledge to improve automation and value realization.
• Produces architecture and design artifacts and ensures design constraints are met in code.
• Develops and operates services on Private Cloud platforms with deployment automation and resiliency.
• Identifies hidden data patterns to drive improvements in code hygiene and system architecture.

Skills

Agile methods

Code reviews

Unit testing

Software architecture

Security

Automation

CI/CD

Observability

Tools

Java

Python

React

Kafka

RESTful APIs

JSON

Private Cloud

Job 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 JPMorganChase within the Asset and Wealth Management Technology team, 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 breakdown technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Designs, builds, and operates microservices and APIs for Tax Platform capabilities using Java (primary) and Python (as needed), with strong engineering discipline across testing, code reviews, automation, and observability
• Builds and supports event-driven/data streaming solutions using Kafka (topic design, producers/consumers, schema management patterns, error handling/retries, idempotency, and operational monitoring)
• 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
• Develops and operates services on Private Cloud platforms, contributing to deployment automation, resiliency patterns, and platform reliability in production environments
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene, platform resiliency, and system architecture

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 in developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages
• Proficiency in Java and React, with experience building microservices-based applications; willingness to learn and adopt new technologies as needed
• Hands-on experience with Kafka processing/streaming (building and operating producers/consumers; understanding of delivery semantics, ordering, retries, and monitoring)
• Experience with Private Cloud and/or cloud platforms ,distributed systems, and web technologies including RESTful APIs, web services and JSON
• 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.
• Solid understanding of agile methodologies such as CI/CD, application resiliency, and security

Preferred qualifications, capabilities, and skills

• Working proficiency in Python
• Experience building platforms in regulated / controls-heavy environments requiring auditability and data governance
• Familiarity with LLM integration patterns (e.g., retrieval-augmented approaches, tool/function calling, prompt templates, evaluation frameworks)
• Familiarity with modern front-end technologies
• Exposure to cloud technologies