Lead Software Engineer Big Data & AWS

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

As a Lead Software Engineer at JPMorganChase within COMMERCIAL & INVESTMENT BANK youare an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. As a core technical contributor you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

• Creates and executes 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 startups and internal teams to drive outcomes-oriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• 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
• Hands-on practical experience delivering system design application development testing and operational stability
• Advanced in one or more programming language(s)
• Processing and analyzing large datasets using Big Data technologies including Apache Spark across data platforms comprising of Redshift SQL DB RDS and Databricks.
• Setup and Configuration of AWS services such as S3 Databricks Step Functions EMR Glue Lambda RDS Step-Functions and API Gateway for scripting automation and orchestration of data workflows.
• Development of semantic layer for data consumption using Iceberg tables and APIs.
• Advanced understanding of agile methodologies such as CI/CD Application Resiliency and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)

• Identifying implementing and optimizing AI-driven automation opportunities within technology lifecycle management.
• Well versed with AI and emerging technologies.