Java-Spring Boot Software Engineer III

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 JPMorgan Chase within the Corporate Sector, 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

• 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 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

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Proficiency in back-end technologies such as Java, Spring Boot, Restful API and Micro-services base applications
• 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
• Demonstrated ability to independently solve design and functionality challenges with minimal supervision.
• Hands-on practical experience in system design, application development, testing, and operational stability
• Hands-on experience with event driven architecture and distributed messaging technologies (e.g. Kafka)

Preferred qualifications, capabilities, and skills

• Familiarity with AI tools, Vibe coding, and agentic development
• Cloud Certifications would be a plus (ex. AWS or Azure or GCP)
• Experience working with one or more monitoring and alerting tools like Grafana, Splunk, Dynatrace, Datadog, CloudWatch
• Experience with Terraform and Databricks