Software Engineer II - Java - Springboot, React, RDBMS, Kubernetes

Aumni

Mumbai

On-site

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

Full time

11 days ago

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Job summary

JPMorganChase in Mumbai seeks a Software Engineer II to join a fast-paced agile team, delivering secure, scalable software components and collaborating across product and technology teams.

You will design, develop, and troubleshoot software solutions, leveraging Java, Springboot, and React, while embracing AI-assisted tooling and secure coding standards to enhance delivery quality.

Qualifications

  • Formal training or certification in software engineering with 2+ years of applied experience.
  • Hands-on experience in Java, Springboot, React, RDBMS, and Kubernetes.
  • Experience with enterprise‑authorized AI-assisted development tools and secure coding practices.
  • Understanding of secure AI usage and data sensitivity in engineering workflows.

Responsibilities

  • Execute standard software design, development, and troubleshooting.
  • Write secure, high-quality code in at least one language with limited guidance.
  • Leverage enterprise AI coding assist tools to improve code quality and speed.
  • Design and troubleshoot with awareness of upstream/downstream systems.
  • Use SDLC tools including AI-assisted development and automation.
  • Perform technical troubleshooting for basic complexity and analyze data to inform decisions.
  • Learn and apply software development processes for secure, stable code.

Skills

Java
Springboot
React
RDBMS
Kubernetes

Tools

Terraform
AWS ECS
AWS EC2

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 - Global Banking Technology, 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, Springboot, React, RDBMS, Kubernetes
  • 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
  • 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)

Serve as an emerging member of an agile team to design and deliver market‑leading technology products in a secure and scalable way

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