JPMorgan Chase & Co.

Software Engineer III - Java AWS

JPMorgan Chase & Co. Bengaluru, Karnataka, India

Financial Services · 10,001+ employees

5 h ago Closes in 1d
java Mid (2-5 yrs) Full-time India
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About the role

You will design and deliver secure, scalable technology products as a member of an agile team. Responsibilities include executing software solutions, creating high-quality production code, and leveraging AI-assisted tools to improve development productivity.

What they look for

Java Spring Boot Microservices AWS System Design Application Development Technical Troubleshooting CI/CD DevOps Kafka Prometheus Grafana Dynatrace Datadog Agile Methodologies AI Coding Assist Tools

Requirements

Candidates must have 3+ years of applied experience in software engineering with hands-on expertise in Java, Spring Boot, and AWS. Proficiency in building enterprise-grade backend systems and familiarity with modern DevOps practices are required.

Full 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
  • 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 boot, Microservices and AWS 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.

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