Software Engineer II - Backend Python, AIML at JPMC Candidate Experience page

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

24 Sep, 26

Salary

0.0

Posted On

26 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AI/ML, Generative AI, LLMs, Agentic AI, System Design, Relational Databases, Document Databases, Cloud Technologies, CI/CD, Agile Methodologies, Software Development Life Cycle, Application Resiliency, Security, Debugging, Algorithms

Industry

Financial Services

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, 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 * 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 (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 * 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.) * Strong Expertise and Hands-on knowledge on Python, Core Database concepts (Relational & Document), Cloud technologies and AI/ML technologies (Gen AI/LLMs, Agentic AI 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. * Strong understanding of algorithms

Responsibilities

Design, develop, and troubleshoot secure and scalable software components within an agile team. Leverage AI-assisted coding tools to improve productivity and code quality while ensuring stability and security.