Python Backend Developer with AWS and SQL (Software Engineer II)

Aumni; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

JPMorganChase seeks a Software Engineer II in Bengaluru to join an agile team delivering secure, scalable software components within Asset and Wealth Management. You will design, develop, and troubleshoot multiple components, applying AI-assisted tools and secure coding standards.

You will gain experience across the SDLC, emphasize CI/CD, application resiliency, and security, and work in a collaborative, performance-driven environment.

Qualifications

• Experience in system design and application development across the Software Development Life Cycle.
• Proficient coding in Python/Java with secure coding practices.
• Familiarity with AI-assisted development tools and code validation.

Responsibilities

• Executes standard software solution design, development, and troubleshooting.
• Writes secure, high-quality code in Python or Java with limited guidance.
• Leverages enterprise AI coding assist tools to improve code quality, speed, and productivity with peer review.
• Designs and troubleshoots with consideration of upstream/downstream systems.
• Supports automated testing, documentation, and secure coding standards.
• Gathers and analyzes data to inform decisions for secure, stable applications.

Skills

System design

Application development

CI/CD

Secure coding

AI-assisted development

Tools

Python

Java

SQL

Kafka

Redis

TimescaleDB

Hypertables

AWS

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 Asset and Wealth Management ,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 (Python / Java) 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

• 3+ years of 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
• 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

• Knowledge around High Performance Python (Polars and PyArrow), Redis, Apache kafka, Columnar Timeseries Databases (TimescaleDB, Hypertables, Columnar Compression), AWS Ecosystem are plus.

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