JPMorgan Lead Software Engineer Public Cloud Data Lake 

United States, Texas, Plano 

479968702

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 data engineering concepts and 5+ years applied experience, with addition 4+ Years of delivering hands-on Cloud Native solutions
• Experience building and deploying data services and solutions in cloud native environment such as AWS, Azure, GCP etc.,
• Expert level knowledge with AWS Data lake, Glue, AWS EMR, Java, Spring, Spring boot, Terraform and Python technologies
• Possess AWS Developer Associate, AWS Solution Architect Associate and Terraform associate or equivalent
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• 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.)
• In-depth knowledge of the financial services industry and their IT systems

• Hands-on experience building AWS lake formation based data lake platform
• Experience working with financial and banking services
• Experience with CI/CD implementation