Software Engineer II - Python, FastAPI/Django, Spark/Pyspark,Cloud, AI/ML - Mumbai/Bengaluru

JPMorgan Chase & Co.; Mumbai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

JPMorgan Chase & Co. in Mumbai invites a Software Engineer II to join an agile team delivering secure, scalable software components for key financial technology products.

You will design, develop, and troubleshoot across multiple components while gaining experience in modern cloud and data technologies. The role emphasizes writing high-quality code, applying enterprise AI-assisted development tools, and working within the SDLC and CI/CD pipelines to drive reliable software delivery.

Qualifications

• Formal training or certification in software engineering concepts and 2+ years applied experience.
• Hands-on experience in system design, application development, testing, and operational stability.
• Experience coding 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 with ability to evaluate outputs.
• Understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs.

Responsibilities

• Executes standard software solutions, design, development, and 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 SDLC toolchain to improve 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 inform decisions
• Leverages AI coding tools to improve code quality, delivery speed, and productivity while validating outputs
• Learns and applies system processes, methodologies, and skills for secure, stable code and systems
• Adds to team culture of diversity, opportunity, inclusion and respect

Skills

Python

AI-assisted development tools

CI/CD

Secure coding practices

Agile methodologies

Education

Formal training or certification in software engineering concepts

Tools

Python

Airflow

Spark

Cloud technologies

GenAI/LLMs

Job description

• Job Identification 210775240
• Job Category Software Engineering
• Business Unit Commercial & Investment Bank
• Posting Date 08/25/2026, 10:09 AM
• Locations Nirlon Knowledge Park, Western Express Highway, Goregaon (East), Mumbai, IN-MH, 400063, IN
• Apply Before 08/31/2026, 04:00 AM
• Job Schedule Full time
• Job Shift Day

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, 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
• 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
• 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

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
• 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
• 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 of Python, data backbones (Airflow, Spark), core database concepts (relational and document), cloud technologies, and AI/ML technologies (GenAI/LLMs, agentic AI, etc.), with a strong understanding of algorithms.

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies