JPMorgan Lead Software Engineering 

United Kingdom, England, London 

253026625

As a

Job responsibilities

• Leads a team of high potential software engineers, delivering high quality software that achieves functional objectives
• Carries accountability for coding decisions and achieving measures of success
• Executes creative software solutions, design, development, and technical troubleshooting
• Develops secure high-quality code, reviews and debugs code written by the team
• Ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Identifies opportunities to eliminate or automate remediation of recurring issues
• Leads evaluation sessions with other internal teams to drive outcomes-oriented probing of architectural designs
• Mentors and coaches team members, with a focus on building and managing industry leading products exceeding business expectations
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on IT architecture concepts and proficient advanced experience
• Experience leading cross-functional teams of technologists
• Formal training or certification on software engineering concepts with 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced knowledge of front-end languages and frameworks (e.g. typescript/react)
• Advanced knowledge of server-side languages and frameworks (e.g. Java/SpringBoot)
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages
• Experience in Microservices architecture
• Proficient in Database technologies
• 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.)
• Practical cloud native experience – AWS preferred