Software Engineer III - Java, Spring, AWS cloud, and Kafka

JPMorganChase; Telangana; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

JPMorgan Chase in India (Telangana) seeks a Software Engineer III to join an agile team delivering secure, scalable market-leading fintech products.

You will design, develop, and troubleshoot across microservices, cloud, and data pipelines, applying AI-assisted tools with peer review to ensure quality and security. Strong CI/CD and resiliency practices are required.

Qualifications

• Formal training or certification on software engineering concepts.
• Experience with distributed systems and cloud technologies.
• Hands-on practice in system design, development, testing, and operational stability.

Responsibilities

• Executes software solutions, design, development, and troubleshooting with ability to solve complex problems.
• Produces secure, high-quality production code and artifacts for complex apps with architecture focus.
• Analyzes large data sets to derive insights and improve software systems.
• Identifies hidden data patterns to drive improvements in code quality and architecture.
• Engages with engineering communities and uses AI-assisted tools with peer review and secure coding practices.
• Leverages SDLC tools including AI-assisted development to improve automation and value.

Skills

Java

Springboot

Distributed systems

Cloud technologies

CI/CD

AI-assisted development

Agile methodologies

Education

Software engineering certification

Tools

AWS

GCP

Azure

Kafka

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 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, and 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, and 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
• 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 practical experience in system design, application development, testing, and operational stability using Java, Springboot and Kafka in 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
• 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

• Familiarity with modern front-end technologies
• Exposure to cloud technologies