Delivers secure, scalable tech solutions using Java/Python, AWS, DevOps, and cloud-native practices; expert in agile, automation, and financial services IT.
As a Lead Software Engineer at JPMorgan Chase within the Consumer & Commercial Banking area, you play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted, market-leaading technology products in a secure, stable, and scalable manner. As a core technical contributor, you are tasked with implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve 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
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 or Python
- Advanced in AWS tools (EKS, ECS, RDS, Dynamo, Lambda, Glue) infrastructure.
- Service Oriented Architect experience as well as Containerization experience (Docker/Kubernetes)
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Proficient in DevOps
- 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.)
- In-depth knowledge of the financial services industry and their IT systems
Preferred qualifications, capabilities, and skills
- Teradata experience
- Data Lakes experience
- AI/ML usage and implementation, design and techniques
- Strong problem solving skills, working on complex enterprise organizational projects
- Practical cloud native experience
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