JPMorgan Cloud Platform Lead Software Engineer 

United States, California, San Francisco 

564582742

Make an impact as a leader in strategic initiative which focuses on building highly scalable and resilient applications. As a lead software engineer, you will use Java, Spring Boot, Kafka, Oracle, and cloud technologies to implement the Photon microservices framework that helps implement apps using modern software architectures.

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
• Use Java, Spring Boot, kafka, Oracle to build event driven, cloud native Microservices.
• 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 scalable, distributed systems, application development, testing, and operational stability.
• Proficiency in Java (Core & EE, Spring Framework) and able to create Java based Microservices.
• Use Java, Spring Boot, Kafka, Oracle to build event driven, cloud native Microservices.
• Practical cloud native experience in AWS and AWS tools (RDS, Lambda)
• Notable experience with cloud-based data platforms and patterns for compute, storage, analytics, and data science use cases
• Excellent verbal and written communication skills to work effectively with cross-functional teams and stakeholders.
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight.

Preferred qualifications, capabilities, and skills

• Proficiency in Python, JavaScript, or React
• Strong understanding of OOP & SOA principles, design patterns, industry best practices
• Experience with event-driven architectures and tools, data mesh architecture, data ingestion pipelines, workflow orchestration, containerization.
• Ability to drive requirement refinement with product and stakeholders.