Software Engineer III

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 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
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Formal training and/or certification in RPA (UiPath) and Azure concepts, with 3+ years of applied hands-on experience.
• Hands-on experience in system design, application development, testing, and production operational stability.
• Proficiency in modern programming languages plus database querying (e.g., SQL); proven ability to develop, debug, and maintain enterprise codebases.
• Strong understanding of the Software Development Life Cycle (SDLC) and Agile delivery, including CI/CD, application resiliency, and security.
• Strong Data Engineering experience, including ETL/ELT, data lake architecture, and an understanding of data governance, data quality, and metadata management.
• Strong programming skills in Python + PySpark (or Java/Spark), with a track record of building and optimizing scalable data pipelines.

Required qualifications, capabilities, and skills

• Formal training and/or certification in RPA (UiPath) and Azure concepts, with 3+ years of applied hands-on experience.
• Hands-on experience in system design, application development, testing, and production operational stability.
• Proficiency in modern programming languages plus database querying (e.g., SQL); proven ability to develop, debug, and maintain enterprise codebases.
• Strong understanding of the Software Development Life Cycle (SDLC) and Agile delivery, including CI/CD, application resiliency, and security.
• Strong Data Engineering experience, including ETL/ELT, data lake architecture, and an understanding of data governance, data quality, and metadata management.
• Strong programming skills in Python + PySpark (or Java/Spark), with a track record of building and optimizing scalable data pipelines.
• 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.

• Hands-on expertise with AWS data lake services (e.g., S3, Glue, Lake Formation, EMR) and experience with microservices/containerization (Docker, Kubernetes); demonstrated breadth across technical domains (e.g., cloud, AI/ML, mobile).

  Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies
• Exposure to Generative AI and Agentic AI concepts and tools (e.g., AWS Bedrock, SageMaker, OpenAI, LangChain, etc.). is an added adavantage