JPMorgan Lead Software Engineer 

United States, New Jersey, Jersey City 

899537880

Job responsibilities

• Develops secure and high-quality production code using reusable patterns/frameworks for cloud solutions.
• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• 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 applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) like Python, Terraform, Java.
• 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
• Experience with development and application of Cloud well architected frameworks.
• Experience in solution enablement of complex multi-tenant and multi-cloud solution.
• Knowledge of Data & AI/ML application of industry standards for regulatory compliance.
• Experience with implementing security best practices in cloud environments, particularly in financial services.
• Knowledge of regulatory compliance standards relevant to AI and cloud computing in the banking industry (e.g., GDPR, PCI DSS).

Preferred qualifications, capabilities, and skills

• Financial Services Industry experience is preferred.
• Expert in Data & AI/ML cloud solution stacks on AWS, Azure and/or GCP.
• Expert in AWS, Azure and/or GCP Well Architected Frameworks.
• Experience in building cloud infrastructure using Terraform.
• Experience in building AI-driven solutions, particularly using Generative AI, encompassing data collection and processing to model development, training, fine-tuning and evaluation.