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Software Engineer II-Java,Python, AI

JPMorganChaseNoida, Uttar PradeshIndiaPosted 16 Jul 2026

Why This Role Stands Out

Advance your career at a globally recognized leader by designing, developing, and enhancing cutting-edge technology products in a secure and scalable environment. You'll thrive in this hybrid role if you are eager to grow your skills in AI, Java, and Python, contributing to a reputable firm with a focus on continuous learning and development. Apply now to join an agile team and make a significant impact.

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

hackajob is collaborating with JPMorganChase to connect them with exceptional professionals for this role.

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 JPMorgan Chase within the Commercial & Investment Bank, 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 solutions, design, development, and technical troubleshooting
  • Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
  • 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 to improve the value realized by automation
  • Applies technical troubleshooting to break down 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
  • 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.
  • 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 2+ years applied experience
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Hands-on in Python, Java and AI frameworks/tools
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Demonstrable ability to code in one or more languages
  • Experience across the whole Software Development Life Cycle
  • Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
  • Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • 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.


Preferred qualifications, capabilities, and skills

  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies
ABOUT US

Skills

Machine Learning
Agile
Java
Python

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