Software Engineer III - Java Backend, Kafka, AWS, DevOps

JPMorganChase; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer III in Bengaluru to join the Fraud Risk team. You will design and deliver trusted technology products in a secure, scalable way, supporting firm objectives.

You will work in an agile environment across multiple tech areas and contribute to crafting robust backend solutions. The role emphasizes secure coding, production quality code, and continuous improvement through data-driven insights and AI-assisted development tools.

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Hands-on experience building enterprise grade backend systems using Java, Spring, Kafka and DBMS (RDBMS or NoSQL) and experience in system design, application development, testing, and operational stability.
• 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 with demonstrated ability to evaluate, validate, and refine outputs for correctness, performance, and security.

Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine approaches to build solutions.
• 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 ensuring design constraints are met by software code development.
• Leverages AI-assisted development tools to improve code quality, delivery speed, and productivity with peer review and secure coding standards.
• Applies knowledge of SDLC toolchain, including AI-assisted development and automation capabilities, to improve value realized by automation.
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large data sets for continuous improvement of software applications.
• Identifies hidden problems and patterns in data to drive improvements in coding hygiene and system architecture.

Skills

Java

Spring

Kafka

DBMS

AI-assisted tools

CI/CD

DevOps

Agile

Education

Software engineering concepts training

Tools

AWS

Kubernetes

Prometheus

Grafana

Dynatrace

Datadog

Job description

Job Description

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

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 Consumer & Community Banking Fraud Risk 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 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
• 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.
• 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 experience building enterprise grade backend systems using Java, Spring, Kafka and DBMS (RDBMS or NoSQL) and experience in system design, application development, testing, and operational stability
• 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.
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Experience with latest DevOps practices and tools

Preferred Qualifications, Capabilities, And Skills

• Exposure to cloud platforms(AWS) & familiarity with Kafka
• Experience with deploying and managing containerized microservices in AWS
• Experience setting up active system monitoring, centralized logging, and alert configurations using Prometheus, Grafana, Dynatrace, or Datadog.

ABOUT US