Lead Software Engineer - AI Suggestions
Lead Software Engineer - AI Suggestions
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1 Vacancy
Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Java/Python Lead Software Engineer at JPMorgan Chase within the Consumer Community Banking Machine Learning & Intelligence Operations (MLIO) technology group youare an integral part of an agile team that works to enhance build and deliver trusted marketleading 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.
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 highquality 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 outcomesoriented 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 leadingedge technologies
- Adds to team culture of diversity equity inclusion and respect
Required qualifications capabilities and skills
- Formal training or certification onsoftware engineeringconcepts and 5 years applied experience.
- Handson practical experience delivering system design application development testing and operational stability
- Advanced in one or more programming language(s) such as Java and Python
- 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 in building enterprise applications with high availability and performance using Spring FastAPI ORM Kafka Elastic Search Distributed Cache.
- Hand on experience in UI Frameworks like React
- Proficiency in SQL and Database development.
- Experience managing technologists building large enterprise applications beyond exposing REST endpoints on database and cloud native applications based on 12 factor methodology.
Preferred qualifications capabilities and skills
- Extensive experience with Amazon Web Services (AWS) including deploying managing and scaling applications using services such as EC2 S3 Lambda and RDS
- Proficiency in AWS security best practices and cost optimization strategies.
Employment Type
Full-Time
