Java AWS Software Engineer III

About the role

As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank - Post Trade Technology Reporting team, you are an integral part of an agile team enhancing, building, and delivering trusted market-leading technology products in a secure, stable, and scalable way. This role involves contributing to a migration and modernization journey, designing products, owning the design end-to-end, building applications, and participating in testing activities.

Responsibilities

• Develop code that conforms to design, addresses non-functional requirements, and complies with coding standards and conventions.
• Create detailed unit test cases, perform unit testing, integration testing, support QA and user acceptance testing, and address ad hoc user queries.
• Practice test-driven development, automated testing, and continuous integration.
• Actively participate in peer review sessions by evaluating code quality, ensuring adherence to best practices, identifying defects, and providing constructive, actionable feedback.
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support). Establish consistent validation standards (secure coding, peer review, automated testing) and promote reuse of effective patterns.
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve automation value.
• Mentor and support junior developers by offering technical guidance, conducting knowledge-sharing sessions, reviewing their work, and fostering skill development.
• Analyze programs and troubleshoot production issues. Identify potential performance tuning improvement areas and implement tuning measures.
• Collaborate with regional and global team members from other regions.
• Maintain a good understanding of change management and release processes.

Requirements

• Formal training or certification on software engineering concepts and 3+ years of applied experience.
• Hands-on experience coding in one or more programming languages, including Java.
• Experience designing and implementing applications using Spring Boot.
• Hands-on experience with AWS Cloud technologies.
• Experience developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages.
• Overall knowledge of the Software Development Life Cycle.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong 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 coaching engineers on safe, compliant adoption within delivery practices.
• 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, mobile).

Preferred Qualifications

• Proven experience designing and building scalable big data warehouses using Apache Spark, including data ingestion, transformation, and optimization for large-scale datasets.
• Working knowledge of containerization and orchestration tools such as Kubernetes and Docker, along with experience leveraging Databricks for distributed data processes and analytics.
• Hands-on experience with AWS cloud services (e.g., S3, EC2, EMR), NoSQL databases such as MongoDB, and modern data lake technologies including Apache Iceberg for efficient data storage and management.

Benefits

• Competitive total rewards package including base salary determined based on role, experience, skill set, and location.
• Commission-based pay and/or discretionary incentive compensation for eligible roles, awarded in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.