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 JPMorganChase within 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 software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Designs, builds, and supports batch processing systems and data pipelines (e.g., scheduled/triggered workflows, ETL/ELT processing, backfills/reprocessing), including operational monitoring, alerting, and incident triage
• Implements and enforces data management concepts such as data quality, validation, metadata, lineage, access controls, retention, and auditability aligned to platform standards
• Builds and maintains APIs and backend services using Spring Boot, including integration patterns, service contracts, error handling, authentication/authorization integration, and documentation
• Leverages AWS cloud services to deliver scalable, resilient, and cost-aware solutions; applies security best practices such as IAM least privilege, encryption, secrets management, and logging
• 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
• 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

• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

  
  

Required qualifications, capabilities, and skills

• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Strong coding ability in Java and/or Python, with production experience building reliable services and data processing components
• Hands-on experience building and operating batch processing systems and associated data workflows in production environments
• Strong knowledge of AWS cloud services and cloud-native engineering practices (security, scalability, resiliency, observability, cost awareness)
• Practical experience building APIs using Spring Boot (REST services, validation, testing, performance tuning, documentation)
• 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
• Overall knowledge of the Software Development Life Cycle

• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

  
  

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies and Exposure to cloud technologies
• Experience with data platform patterns (data lake/warehouse, distributed processing frameworks, orchestration) and implementing data quality/metadata/lineage capabilities at scale
• Experience with infrastructure-as-code and automated environment provisioning (e.g., Terraform/CloudFormation or equivalent), and strong observability practices (metrics/logging/tracing)