Software Engineer II, Java/Python , SQL

About the Role

As a Software Engineer II at JPMorganChase, you will be part of an agile team that enhances, designs, and delivers software components for the firm's technology products in a secure, stable, and scalable manner. You will execute software solutions through design, development, and technical troubleshooting of multiple components within a technical product, application, or system.

Key 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 with limited guidance.
• Leverages enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity, 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 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.

Requirements & Tech Stack

• Proficient in coding (Java or Python).
• Strong knowledge of relational databases/ Transact SQL and caching technologies (Oracle/Postgres/SQL Server/elastic etc.).
• Overall knowledge of the Software Development Life Cycle.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Qualifications

• 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.

Preferred qualifications, capabilities, and skills:

• Exposure to cloud technologies (e.g., AWS, Databricks, Snowflake).
• Business Intelligence Tools (Tableau/Business Objects/ThoughtSpot).
• Kafka Messaging.
• Knowledge of Databricks.
• Scala, Apache Spark.