Software Engineer III - Java with AWS

Software Engineer III - Java with AWS

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 Consumer and Community Banking, 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 creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
• Build Micro services that will run on the bank’s internal cloud and the public cloud platform (AWS)
• Collaborate with teams in multiple regions and time zones.
• Participate in scrum team stand-ups, code reviews and other ceremonies, contribute to task completion and blocker resolution within your team.
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• 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

 

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Professional hands-on software development work experience on Java and related technologies 
• Hands on experience of the technologies like Java 11/17, Spring/Spring Boot, Kafka, Relational/Non-Relational Databases like (Oracle, Cassandra, Dynamo, Postgres)
• Hands on experience on Pubic Cloud platform using AWS for building secure Micro Services
• Hands on experience on the AWS services like EKS, Fargate, SQS/SNS/Eventbridge, Lamda, S3, EBS, Dynamo/Aurora Postgres DB to name few
• Hands on experience of Terraform scripts
• Experience with DevOps concepts for automated build and deployment 
• Overall knowledge of the Software Development Life Cycle
• Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering or related field or equivalent relevant work experience.
• 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.

 

 

Preferred qualifications, capabilities, and skills

 

• AWS Developer/Solution Architect Certification
• Understanding of Design Patterns for building Micro Services and Database designs
• Knowledge of tools like JMeter, Dynatrace, Splunk, Wiremock, Hoverfly, Jenkins, Spinnaker

Experience Level

Senior Level