Software Engineer III - Java Spring Boot Public Cloud

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

Job summary

JPMorganChase in Hyderabad, India is seeking a Software Engineer III to advance secure, scalable financial tech solutions within an agile team. You will design, develop, and troubleshoot complex software across multiple domains and contribute to architectural decisions.

You will work with cloud platforms (AWS, GCP, Azure), microservices, data streaming, and AI-assisted development tools, ensuring high quality code, security, and operational stability in fast-paced financial services environments.

Qualifications

• Formal training or certification in software engineering.
• 3+ years of applied software engineering experience.
• Hands-on experience in system design and application development.
• Experience with distributed systems and cloud technologies (AWS, GCP, Azure).
• Experience with microservices/RESTful APIs and data stores (SQL/NoSQL).
• Experience with data streaming and messaging (Kafka, Spark).
• Understanding of DI frameworks (Spring/Spring Boot) and containers (Docker, Kubernetes, Helm).
• Experience using AI-assisted development tools with secure coding practices.

Responsibilities

• Executes software solutions, design, development, and troubleshooting.
• Creates secure, high-quality production code and maintains algorithms.
• Produces architecture and design artifacts for complex applications.
• Gathers and analyzes data to support continuous improvement.
• Identifies hidden data patterns to improve code and system architecture.
• Contributes to engineering communities and explores new tech.
• Uses enterprise AI coding assist tools to improve speed and quality, with peer review.

Skills

Software engineering concepts

System design

Application development

Testing

Operational stability

Distributed systems

Cloud technologies

Microservices

RESTful APIs

Data modeling

Data ingestion frameworks

Data streaming

Messaging frameworks

Dependency injection (Spring/Spring-BO

Containers (Docker/Kubernetes/Helm)

AI-assisted development tools

Responsible AI practices

Education

Software engineering certification

Tools

AWS

GCP

Azure

Docker

Kubernetes

Helm

Kafka

Spark

Spring / Spring Boot

AI-assisted dev tools

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 JPMorganChase within the Consumer and Community Banking, 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
• 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
• Proficient in coding in one or more languages
• Experience with distributed systems and cloud technologies (AWS, GCP, Azure, etc.)
• Experience with micro services/RESTful API, relational/NoSQL databases, data modeling and data ingestion frameworks
• Hands-on experience with data streaming and messaging frameworks (Kafka, Spark, etc.)
• Understanding of dependency injection frameworks (Spring / Spring Boot, etc.)
• Understanding of containers (Dockers, Kubernetes, Helm, 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

• Cloud Certification
• Practical cloud native experience
• In-depth knowledge of the financial services industry and their IT systems