Software Engineer III-Java Full Stack

JPMorganChase

Bengaluru

On-site

INR 1,200,000 - 1,800,000

Full time

21 hours ago
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Job summary

JPMorgan Chase is seeking a Software Engineer III in Bengaluru. You will join an agile team to design and deliver secure, scalable technology products within Payments Technology.

You will contribute across the SDLC, implement cloud and AI-enabled tooling, and advance architecture with data-driven insights. We value strong Java EE, Spring Boot, Kafka, and Docker/Kubernetes experience, plus the ability to work with large data sets, ensure security, and support production systems in a fast-paced

Qualifications

  • 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 Java EE - Full Stack, Spring boot, SOLID Design Principles.
  • Experience in Messaging Channel: MQ/Kafka, Databases: Oracle/Cassandra/NoSQL - MongoDB.
  • Experience in Dockerization: Containerization concepts, Kubernetes, Testing frameworks - JUnit/Mockito/Cucumber/Playwright.
  • Proficient in coding in one or more languages.
  • Good understanding on AI models & usage of pair programming coding assistants like CoPilot.
  • Knowledge of SDLC and enterprise-authorized AI-assisted software development tools.
  • Understanding of responsible AI use in engineering workflows.

Responsibilities

  • Executes software solutions, design, development, and troubleshooting with ability to go beyond routine approaches.
  • Creates secure, high-quality production code and maintains algorithms with reliable systems.
  • Produces architecture and design artifacts for complex applications and ensures constraints are met.
  • Analyzes large data sets to visualize and report for continuous software improvement.
  • Identifies patterns in data to drive improvements in coding hygiene and system architecture.
  • Contributes to engineering communities and explores new technologies.
  • Fosters team culture of diversity, opportunity, inclusion, and respect.
  • Utilizes enterprise AI coding assist tools to improve quality, speed, and productivity with peer review.

Skills

Java EE
Spring Boot
SOLID Design Principles
MQ/Kafka
AI-assisted development
SDLC
Cloud technologies
React/JavaScript
Secure coding
Unit testing
Data analysis

Education

Bachelor's degree in Computer Science or related field

Tools

Docker
Kubernetes
Oracle
Cassandra
MongoDB

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 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
  • 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
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Proficient in coding in Java EE - Full Stack, Spring boot, SOLID Design Principles
  • Should have experience in Messaging Channel: MQ/Kafka, Databases : Oracle/Cassandra/NoSQL - MongoDB
  • Should have experience in Dockerization : Containerization concepts, Kunernetes, Testing frameworks - Junit/Mockito/Cucumber/Playwright
  • Proficient in coding in one or more languages
  • Good Understanding on AI models & usage of pair programming coding assistants like CoPilot
  • Overall knowledge of the Software Development Life Cycle
  • 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
  • Cloud Technologies - AWS offerings, Cloud agnositic app development & deployments
  • Front End - React / JavaScript
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