Lead Software Engineer – Pyspark – Aws
| Company | JP Morgan Chase |
|---|---|
| Location | Wilmington, DE, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Extensive hands-on experience with PySpark, and ETL/Streaming Pipelines
- Experience in AWS services such as SQS, Lambda, S3 and RDS
- Proficiency in Alteryx, Tableau, ThoughtSpot, and SQL
- Knowledge and deep understanding of AWS concepts, including glue and EMR
- Advanced in one or more programming language(s) like python
- Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Ability to tackle design and functionality problems independently with little to no oversight
- Practical cloud native experience
- Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
Responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Adds to the team culture of diversity, equity, inclusion, and respect
Preferred Qualifications
- Experience in software applications and technical processes within a technical discipline (e.g., cloud)
- Experience with Shell scripting, Unix
- Proficiency using Terraform
- Practical LLM use case development experience using OpenAI Azure
- Familiarity with modern LLM techniques