About this role
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 Employee Platforms Team, 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 • 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
• Formal training or certification on software engineering concepts and 3+ years applied experience in developing data ingestion from on premise applications to private cloud AWS using related services like S3, Lambda, SQS, Event Bridge, Glue/Glue workflows/Glue Data Catalogue, Cloud watch, Aurora MySQL/PostgreSQL databases, and Pyspark • 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 • Required Development skills for more than one Cloud and Traditional Data Engineering technology including AWS Services like Glue, EMR, data warehouse • 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. • Good understanding of KMS and IAM services. • Experience in comprehensive analysis and design experience with demonstrated knowledge of RDMS systems like Oracle, good in writing and understanding SQL, PL/SQL constructs. • Hands-on experience with AI-powered coding IDEs such as ClaudeCode, Copilot, Windsurf, or similar tools. • Experience in CI/CD process in AWS Cloud environments, has hands on experience on any of the Infrastructure as Code service (Iac) like Terraform, Cloud Formation etc. Preferred qualifications, capabilities, and skills
• Working with streaming services like Kafka/AWS MSK/Confluent Kafka or equivalent services. • Experience in developing software solutions leveraging Test Driven Development (TDD) • Experience in Oracle HCM/ICM and data ingestion to Oracle ICM