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.

Key Responsibilities

• Work with large-scale datasets, performing advanced queries and calculations to extract, transform, and analyze data.
• Design, develop, and optimize ETL pipelines using AWS Glue, Py Spark, and Databricks.
• Link and integrate processed data to downstream tables and systems via AWS Glue workflows.
• Utilize AWS services including S3, Lambda, Redshift, Athena, Step Functions and Data Lake architectures.
• Design and implement scalable data models and data lake solutions.
• Collaborate with data scientists, engineers, and business stakeholders to deliver high-quality data solutions.
• Build Python backed micro-services that can interact with the transformed data for visualization/analytics
• Create micro-frontends using React JS
• Use version control (Git) and CI/CD pipelines for efficient development and deployment.
• Leverage AI agents and tools (e.g., Co-Pilot) to enhance productivity, code quality, and problem-solving.

Required qualifications, capabilities and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Full Stack experience to create/deploy and maintain Python backed APIs and React UI.
• Hands on experience on LLM Engineering
• Hands-on experience with AWS Glue (ETL jobs, crawlers, workflows), including linking data to downstream tables.
• Advanced skills in writing and optimizing queries and calculations on large datasets.
• Experience with Py Spark and distributed data processing.
• Strong knowledge of AWS services: S3, Lambda, Redis, Athena, Step Functions and cloud architecture
• Experience integrating AI/ML models (Sage Maker or custom models) into data pipelines & Understanding of data modeling and data lake architectures.
• Experience with version control (Git) and CI/CD pipelines.
• Ability to leverage AI agents and tools, such as Co-Pilot, Claude Code to enhance productivity and code quality.

Preferred Qualifications, Skills, and Capabilities

• Prompt Engineering
• Exposure to RAG, Vector DB
• Agentic frameworks (Self-deterministic)
• Integrate AI/ML models into data workflows and production pipelines
• Tableau or Databricks for visualization and analytics