Lead Software Engineer

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 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

• Formal training or certification on Java concepts and 5+ years applied experience
• Hands-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.

• In-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.