As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking Technical 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
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, equity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years of applied experience
Demonstrated and strong hands on Python/Java Enterprise Web Development; developing in all tiers (middleware, integration and database) of the application and proven experience with design patterns
Experience in design and Architecture
Experience in AWS (EKS, EC2, S3,EventBridge,StepFunction, SNS/SQS,Lambda) is must
Experience in Design and develop scalable, high-performance applications using AWS-native event-driven services, including API Gateway
Experience in AWS cloud monitoring tools like Datadog, Cloud watch, Lambda is needed
Deep hands-on experience in Django, Flask & Object Oriented methodology of design and development
Experience with databases like Amazon RDS, caching and performance tuning, REST APIs, with Messaging (Kafka)
Hands on with development and test automation tools/frameworks (e.g. BDD and Cucumber)
Experience in best practices for Data Pipeline design, Data architecture and processing of structured and unstructured data.
Ability to plan, prioritize and follow through on their work and meet deadlines in a fast-paced environment, while also clearly articulating both technical and non-technical issues with stake holders & partners like Dev Ops, Architects, QA testers & Product Owners
Preferred qualifications, capabilities, and skills
Experience in Micro services
Experience in financial domain is preferred
Exposure to artificial intelligence, machine learning, mobile
Exposure to agile methodologies such as CI/CD, Applicant Resiliency, and Security
Hands-on practical experience in system design, application development, testing, and operational stability
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