Job Description
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 JPMorgan Chase 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
- Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using Agentic/GenAI frameworks in a fast-paced environment.
- Conduct research on prompt and context engineering techniques to enhance the performance of LLM-based solutions.
- Design and implement scalable and reliable data processing pipelines, performing analysis and deriving insights to optimize business outcomes.
- Build and maintain Data Lakes and data processing workflows using Databricks to support machine learning operations.
- Communicate technical concepts and results effectively to both technical and non-technical stakeholders.
- 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.
- Utilize AWS services including S3, Lambda, Redshift, Athena, Step Functions, MSK, EKS, and Data Lake architectures.
- Collaborate with data scientists, engineers, and business stakeholders to deliver high-quality data solutions.
- Act as a self-starter, independently taking initiative in driving assignments to completion and solving problems without the need for escalation.
Required Qualifications, Capabilities, And Skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Advanced degree in Computer Science, Data Science, Mathematics, or related field.
- 3+ years of applied experience in data science, machine learning, or related areas.
- Strong Python skills with PySpark, Spark SQL, and Datagrams for large-scale data processing.
- Proficiency with GenAI models (e.g., OpenAI) to solve business problems, including RAG/fine-tuning when appropriate.
- Experience with LLM orchestration, building AI agents, agentic frameworks, and MCP servers.
- 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.
- Databricks expertise building and managing data lakes and end-to-end data processing workflows.
- Strong problem-solving, troubleshooting, clear stakeholder communication, rapid POC-to-production delivery, and mentoring abilities.
Preferred Qualifications, Capabilities, And Skills
- Proficiency in all other AWS components—preferably AWS certified.
- Experience integrating AI/ML models into data pipelines is a plus.
- Experience with version control (Git) and CI/CD pipelines.
