We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Python and AWS Software Engineer II at JPMorgan Chase within the Corporate Investment Bank, Macro Data Analytics team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Develop business logic and data transformations in distributed frameworks to create curated datasets for specific business needs.
- Take full ownership of the software delivery lifecycle, from requirement gathering to coding, testing, deployment, support, and ongoing maintenance.
- Demonstrate self-motivation, ambition, and the ability to work independently while driving projects to successful completion.
- Exhibit intellectual curiosity and a desire to understand trends and patterns in the data you work with.
- 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.
- 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
- Bachelor's degree in Computer Science or equivalent
- Formal training or certification on software engineering concepts and 2+ years applied experience in software development, with a strong focus on data pipeline solutions
- Strong experience in Python and Spark or equivalent such as Flink or Beam
- Experience in AWS technologies, including AWS Glue, Kinesis, and Redshift - or similar from other cloud provider
- Strong problem-solving skills and a passion for innovation
- Excellent communication and collaboration skills, with the ability to work effectively with diverse teams
- Commitment to continuous learning and improvement
- Proficient in relational databases and SQL
- 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
- Understanding of data management (e.g., permissions, recovery, security, and monitoring)
- Adapt to changing project requirements and technologies
- Experience working in the FICC technology space
- Prior experience in SecDB/Athena/Quartz
- Experience in Cloud Certifications and prior Data Engineering
- Experience working in a Markets trading environment is highly desirable especially in the areas of Currencies, Rates, Emerging Markets, Commodities and Options
JPMorganChase Singapore, Singapore, SGP Office
One@Changi City, Changi Business Park Central 1, Singapore, Singapore, 486036

