Fullstack Java Software Engineer III

As a Software Engineer III at JPMorgan Chase within the COMMERCIAL & INVESTMENT BANK - Global 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. Full stack Java developer on public cloud platforms with DevOps background.

Job Responsibilities 

• Participates in, design and develop scalable and resilient systems using Java to contribute to continual, iterative improvements for product teams
• Executes software solutions, design, development, and technical troubleshooting
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces or contributes to architecture and design artifacts for applications while 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
• Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Participate on Observability and Chaos Engineering initiatives to test tools integration and automate deployment
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect
• 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

• Hands-on practical experience in system design, application development, testing and operational stability
• Proficient in coding in Java languages, as full-stack developer and experienced in using Terraform for automating infrastructure
• Experience in managing AWS RDS instances, along with proficiency in SQL and other querying languages for efficient data retrieval and manipulation
• Proficient in using Chaos Testing (i.e Gremlin) and application monitoring tools like Dynatrace for performance analysis and troubleshooting
• Hands-on practical experience in system design, application development, testing, and operational stability using AWS tech stack
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning)
• Good understanding on Public cloud compute technologies e.g. AWS
• Good understanding and hands-on experience of containerization technologies like Kubernetes.
• Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, copilot, etc.)
• 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

• Familiarity with modern front-end technologies
• Exposure to cloud technologies
• Familiar with observability, such as Grafana, Dynatrace, Prometheus, and Splunk
• Proficiency in designing and implementing experiments to test system resilience

• Ability to identify weaknesses using Chaos Engineering principles

   

 To be eligible for this opportunity, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this position.  Likewise, JPMorgan Chase & Co., will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).