What are the responsibilities and job description for the Lead Software Engineer - Python, AWS, Big Data position at JPMorgan Chase?
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As a Lead Software Engineer-Python, AWS, Big Data at JPMorgan Chase within the Corporate Technology-Digital Workflows team, you will be a seasoned member of an agile team, tasked with designing and delivering reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. Your responsibilities will include developing, testing, and maintaining essential data pipelines and architectures across diverse technical areas, supporting various business functions to achieve the firm's business objectives.
Job responsibilities
- Builds data processing pipeline and deploys applications in production
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture - Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on Software Engineering concepts and 5 years applied experience
- Experience on Bigdata, Data platforms and Data Engineering concepts
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- End to end understanding and hands on experience with Developing Data Pipeline Processes
- Programming experience in Python, FAST API, Spark
- Technically competent in various AWS Services – Lambda, Glue, Step Function, ECS, AWS Infrastructure provisioning through Terraform
- Experience across the data lifecycle and Advanced at SQL (e.g., joins and aggregations) along with working knowledge of OLAP & OLTP databases
- Proficient in all aspects of the Software Development Life Cycle. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Ability to tackle design and functionality problems independently with little to no oversight
- Training in Generative AI solutions like NLP & LLM Models
Preferred qualifications, capabilities, and skills
Training and Work experience in implementation of Generative AI solutions like NLP solutions involving – LLM Models, RAG, Prompt Engineering, AWS Bedrock
Previous experience with Snowflake