Software Engineer II - Java

JPMorganChase

Bengaluru

Hybrid

INR 1,200,000 - 2,100,000

Full time

27 hours ago
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Job summary

JPMorganChase is seeking a Software Engineer II to join the Commercial & Investment Bank - Payments Technology team in Bengaluru. You will contribute to designing, developing, and troubleshooting software components in a secure, scalable way within an agile setting.

Your role involves writing secure code, using Java/Spring, and applying enterprise AI-assisted development tools, while ensuring quality through reviews and testing. This position emphasizes growth and structured SDLC practices.

Qualifications

  • Hands-on practical experience in Java and Spring in a large corporate environment.
  • Experience using enterprise AI-assisted development tools for coding, testing, or documentation.

Responsibilities

  • Executes standard software solution design, development, and troubleshooting.
  • Writes secure, high-quality code with minimal guidance in at least one programming language.
  • Leverages AI coding assist tools to improve code quality, delivery speed, and productivity while peer review validates outputs.

Skills

Java
Spring
AI-assisted tools
SDLC
Agile methodologies

Job description

Job Description

You're ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorganChase within the Commercial & Investment Bank- Payments Technology team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job Responsibilities
  • Executes standard software solution, design, development, and technical troubleshooting
  • Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
  • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
  • 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
  • Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity
  • Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
  • Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
Required Qualifications, Capabilities, And Skills
  • Formal training or certification on software engineering concepts and 2+ years applied experience ( NAMR/APAC – India/ LATAM/ Hong Kong)
  • Hands‑on practical experience in Java, Spring
  • 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, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
  • Experience across the whole Software Development Life Cycle
  • Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred Qualifications, Capabilities, And Skills
  • Preferred qualifications, capabilities, and skills
  • Full stack Java developer experience in enterprise application development
  • Strong experience in SDLC delivery in Agile methodologies
  • At least two years experience in Java 17+
  • Experience developing microservices, packaged into AWS Elastic Kubernetes Service and/or Elastic Container Service, and deployed to EC2 instances
  • Experience writing Terraform scripts and deploying in AWS production environment
  • Experience in at least one relational database management system (preferably Oracle or PostgreSQL)
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