Python Java AWS Lead Software Engineer

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

As a Java/Python/AWS Lead Software Engineer at JPMorgan Chase within the Asset and Wealth Management Technology Team you will be an innovative critical-thinking engineering leader with a proven track record of delivering secure high-quality production software at scale collaborating directly with business and technology teams to bridge communication and promote decisions across product design application functionality and operational processes.

Job responsibilities

• 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 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
• Strong hands on programming experience in Core Java and Python
• Implement TDD and BDD techniques with a focus on leveraging mocking frameworks for effective testing
• Demonstrate an understanding of IoC frameworks in Java such as native Spring
• Understand next generation messaging and streaming technologies such as Kafka SNS Event bridge

• Proficiency in automation and continuous delivery methods and

  in all aspects of the Software Development Life Cycle

• Advanced understanding of agile methodologies such as CI/CD Application Resiliency and Security
• Overall knowledge of the Software Development Life Cycle
• Demonstrate knowledge on SQL database like oracle PostgreSQL

• Demonstrated working knowledge of cache techniques Amazon S3 and AWS

• Exposure AI assisted development