J.P. Morgan
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 and Community Banking's Personalization and Insights team, 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.
Our product, Personalization and Insights, builds and supports high throughput, low latency applications which leverage state of the art, machine learning models hosted on AWS. These applications power personalized experiences across Chase Consumer and Community Banking channels, to help weave a user experience that includes traditional banking services with other services in the Travel, Merchant Offer Shopping, and Dining spaces.
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
Advanced in one or more programming language(s): Java, C++, python
Requires in-depth of knowledge and experience in any two of the following areas, with developing knowledge in the others.
- High-throughput, low-latency micro service development using public cloud services.
- High throughput stream processing using Kinesis, Flink
- High volume data processing using tools such as DuckDB, Spark EMR etc.
Proficiency in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle 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.). Experience with agile methodologies and knowledge of SDLC including CI/CD, Application Resiliency, and Security is needed. Experience in containers (docker ecosystem), container orchestration systems [Kubernetes, ECS], DAG orchestration [Airflow, Kubeflow etc] Preferred qualifications, capabilities, and skills Hands-on experience with AWS managed services such as EKS, ECS ECS2, ECS Fargate Experience with recommendation and personalization systems Developing software in a well-managed Software development environment such as Banking
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Proficiency in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle 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.). Experience with agile methodologies and knowledge of SDLC including CI/CD, Application Resiliency, and Security is needed. Experience in containers (docker ecosystem), container orchestration systems [Kubernetes, ECS], DAG orchestration [Airflow, Kubeflow etc] Preferred qualifications, capabilities, and skills Hands-on experience with AWS managed services such as EKS, ECS ECS2, ECS Fargate Experience with recommendation and personalization systems Developing software in a well-managed Software development environment such as Banking
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