Software Engineer III - Java Spring Boot Microservices AWS

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role.

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking (CCB) Line of Business, you will play a vital role in an agile team dedicated to enhancing, building, and delivering trusted technology products. This position offers a unique opportunity to push the limits of whats possible in a secure, stable, and scalable environment. You will be a core technical contributor, responsible for developing critical technology solutions across various technical areas, aligning with the firm’s business objectives.

Job Responsibilities

• Design and develop secure, high-quality production code.
• Review and debug code written by others.
• Identify and automate remediation of recurring issues to enhance operational stability.
• Collaborate with cross-functional teams to execute creative software solutions and troubleshoot complex technical problems.
• Own projects and drive them to closure with accountability.
• Contribute to communities of practice to promote awareness of new technologies.
• Foster a culture of diversity, opportunity, inclusion, and respect within the team.
• Build self-directed investment products that empower customers to manage their investments effectively.
  
  

• Formal training or certification on software engineering concepts and 9+ years applied experience
• Hands-on experience in system design, application development, and operational stability.
• Advanced knowledge on Spring boot framework.
• Proficient in Java (including version 17 features like Streams).
• Ability to identify and automate opportunities using relevant tools.
• Strong understanding of the Software Development Life Cycle (SDLC).
• Advanced knowledge of agile methodologies, CI/CD, application resiliency, and security.
• Demonstrated proficiency in technical disciplines such as cloud, AI, and machine learning.
• Practical experience with cloud-native applications.