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

Fairygodboss; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

JPMorganChase in Bengaluru seeks a Software Engineer III to join the Fraud Risk Team, delivering trusted, scalable tech products in a secure environment.

You will design, develop, and troubleshoot across multiple areas, produce architecture artefacts, and leverage AI-assisted tools while ensuring code quality and security. The role emphasizes CI/CD, resiliency, and data-driven improvements.

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 modern programming languages and database querying languages.
• Hands-on experience using enterprise-authorized AI-assisted software development tools with ability to evaluate, validate, and refine outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Experience with latest DevOps practices and tools.

Responsibilities

• Executes software solutions, design, development, and 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

Skills

Java

Spring

Kafka

CI/CD

Agile

Security

AI-assisted development

Data analysis

RESTful services

Education

Software engineering certification

Tools

RDBMS

NoSQL

Prometheus

Grafana

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.