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 at JPMorgan Chase within the Consumer & Community Banking Technology Team, 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. 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 firm’s business objectives.

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 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 systemsLeads 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 architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds to team culture of diversity, opportunity, inclusion, and respect

 

Required qualifications, capabilities, and skills

Formal training or certification on Java concepts and 5+ years applied experienceHands-on practical experience in system design, application development, testing, and operational stability.Experience in developing highly scalable micro-services based Java applications.Hands on experience in high throughput, low latency micro service development leveraging AWS services such EKS, ECS, Fargate, ELB etc.Hands on experience in high throughput near real time stream processing with services such Kafka, Kinesis, Flink, ECS, EKS etc. Experience with Source Code Control Systems such as Git, bitbucket, SVN, etc.Experience with development and build tools (or similar): IntelliJ /Eclipse, Maven, Gradle, Sprint Boot, MVC, Spring, Cloud.

Experienced in agile methodologies.

 

Preferred qualifications, capabilities, and skillsIn-depth knowledge of software applications and technical processes with practical knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).Hands on experience in high volume feature engineering with services such as EMR.Experience leveraging trained model artifacts in newer model architectures and approaches such as neural networks, embeddings, multi arm bandits, etc.Proficiency with relational DBs, SQL, RDS.Experience with recommendation and personalization systems.Interest in problems related to the financial services domain.