Software Engineer III PythonJavaSQL

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank 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 firms business objectives.

Job responsibilities

• Executes software solutions designs develops and troubleshoots software solutions applying innovative thinking to solve complex technical challenges
• Write secure high-quality production code and maintain robust algorithms that integrate seamlessly with enterprise systems using Python Java Spark
• Produce architecture and design artifacts for complex applications ensuring all design constraints are met throughout software development
• Gather analyze and synthesize large diverse data sets to develop visualizations and reporting to enable data-driven decision-making
• Proactively identify hidden issues and patterns in data using insights to enhance coding practices and system architecture
• Design and implement robust data ingestion & curation pipelines to bring diverse datasets into the cloud / Databricks
• Contribute to software engineering communities of practice and participate in events exploring new and emerging technologies
• Foster a team culture of diversity equity inclusion and respect

Required qualifications capabilities and skills

• Formal training or certification on Software Engineering concepts and 3 years applied experience
• Practical experience in system design application development testing and ensuring operational stability
• Strong in one or more programming languages including Python. Spark and Java
• Strong SQL skills
• Experience developing debugging and maintaining code in a large corporate environment using modern programming and database querying languages
• Comprehensive understanding of the Software Development Life Cycle (SDLC)
• Solid grasp of agile methodologies including CI/CD application resiliency and security best practices
• Demonstrated expertise in software applications and technical processes within disciplines such as data platforms cloud Agentic AI frameworks and AI/ML

Preferred qualifications capabilities and skills

• Experience in data engineering with a strong understanding of data modeling and ETL processes
• Working knowledge of Databricks
• Familiarity with CockroachDB Apache Iceberg Trino and AWS
• Experience with Spring frameworks Kafka and RESTful APIs