Software Engineer III - Java AWS - Payments Technology

JPMorganChase; Mumbai; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

JPMorganChase in Mumbai seeks a Software Engineer III to join the Payments Technology team. You will design and deliver secure, scalable software in an agile setting, focusing on reliable production-grade code and data-driven improvements.

The role requires hands-on Java/Spring development, REST APIs, and modern tooling including Kubernetes, Kafka, and cloud services. You will apply AI-assisted coding tools to boost quality while maintaining secure coding standards.

Qualifications

• Proven experience in Java and Spring Boot development.
• Hands-on skills in building RESTful APIs and scalable services.
• Experience with Kubernetes, Kafka, Elasticsearch, and Spark.
• Knowledge of cloud services (AWS/GCP/Azure) and data tooling.
• Experience using AI-assisted development tools with secure coding practices.

Responsibilities

• Design, develop, test, and troubleshoot software solutions in an agile setting.
• Create secure production code and maintain algorithms for reliable operation.
• Leverage AI coding tools to accelerate quality and delivery while ensuring correctness.
• Contribute to SDLC artifacts and improve tooling through automation and data insights.
• Identify data patterns to drive improvements in code hygiene and architecture.

Skills

Java

Spring Boot

REST APIs

Kubernetes

Kafka

Elasticsearch

Spark

Cloud platforms

AI-assisted coding

Secure coding

Data analysis

Tools

ECS

S3

Lambda

OpenSearch

MongoDB Atlas

Snowflake

Athena

Glue

Job description

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 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

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
• Strong development background in Java, Spring Boot, RESTful APIs, Kubernetes, Kafka, Elasticsearch, Spark
• Experience with Public Cloud & related Technologies (ECS, S3, Lambda, OpenSearch, MongoDB Atlas, Snowflake, Athena, Glue)
• 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
• Familiarity with Agentic AI, ML
• Familiarity with Python