Lead Software Engineer JavaSpring BootAWSBig Data

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 JPMorgan Chase within Commercial & Community Risk Technology you are 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.

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 and 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.
• 10 years proven hands-on Java J2ee Front End (React) based technical skills.
• Experience with development of microservices and REST API using Spring Boot experience with Kubernetes/Containers
• Hands-on experience with AWS including Amazon ECS (Fargate) API Gateway AWS Lambda Step Functions EventBridge AuroraDB and its related services such as SQS/SNS CloudWatch IAM VPC and S3.
• Experience with Cloud Computing Spring boot Spring cloud.
• Knowledge on Big Data technical stack
• Experience with Relational Databases & SQL
• Hands-on practical experience delivering system design application development testing and operational stability
• Advanced in one or more programming language(s)
• 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.)

Preferred qualifications capabilities and skills:

• Experience with Scala and Spark is a valuable asset.
• Familiarity with AI/ML concepts is an added advantage.
• Proficiency in Unix shell scripting and Python is considered a plus.
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle