We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

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 productionExecutes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsDevelops secure high-quality production code, and reviews and debugs code written by othersIdentifies 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 architectureAdds 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 experienceExperience on Bigdata, Data platforms and Data Engineering conceptsHands-on practical experience delivering system design, application development, testing, and operational stabilityEnd to end understanding and hands on experience with Developing Data Pipeline ProcessesProgramming experience in Python, FAST API, SparkTechnically competent in various AWS Services – Lambda, Glue, Step Function, ECS, AWS Infrastructure provisioning through TerraformExperience across the data lifecycle and Advanced at SQL (e.g., joins and aggregations) along  with working knowledge of OLAP & OLTP databasesProficient in all aspects of the Software Development Life Cycle. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityAbility to tackle design and functionality problems independently with little to no oversightTraining 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