Software Engineer III - Python, LLM, AWS

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 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

• 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, PySpark, and Databricks.
• Link and integrate processed data to downstream tables and systems via AWS Glue workflows.
• Integrate AI/ML models (SageMaker or custom) into data workflows and production pipelines.
• Utilize AWS services including S3, Lambda, Redshift, Athena, Step Functions, MSK, EKS, and Data Lake architectures.
• Design and implement scalable data models, data warehousing, and data lake solutions.
• Collaborate with data scientists, engineers, and business stakeholders to deliver high-quality data solutions.
• 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
• 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 PySpark and distributed data processing & Strong programming skills in Python.
• Familiarity with AWS services: S3, Lambda, Redis, Athena, Step Functions.
• Experience with version control (Git) and CI/CD pipelines.
• Hands-on experience with AWS services and cloud-based data solutions & Strong hands-on coding capabilities in languages/platforms such as PySpark/Python/Databricks.
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
• Ability to leverage AI agents and tools, such as Co-Pilot, to enhance productivity and code quality.

Preferred qualifications, capabilities, and skills

• UI/UX – React
• Proficiency in all other AWS components - preferably AWS certified.
• Experience integrating AI/ML models (SageMaker or custom models) into data pipelines is a plus.