Key Skills:
Full-stack development (Java, Spring, Python)
Google Cloud Platform / Azure Cloud
Software engineering leadership and team management
Software design patterns and best practices
API development and integration
End-user support and problem solving
Agile methodologies
Job Description:
Lead Software Engineer - Java, Azure/Google Cloud Platform
As a Lead Software Engineer at JPMorgan Chase within the Identity and Access Management (IAM) organization of the Chief Technology Office, you play a vital role in an agile team
dedicated to enhancing, building, and delivering reliable, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you are tasked with implementing essential technology solutions across diverse technical domains, supporting various business functions to achieve the firm's strategic goals.
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, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Proven experience (8+ years) in full-stack software development, specifically using Java, spring based technologies or Python in Google Cloud Platform / Azure Cloud environment
Demonstrable success in leading and managing software engineering teams, with a focus on team member growth and overall team performance
Strong knowledge of software engineering principles, design patterns, and best practices
Strong background in working with APIs, ensuring efficient communication and integration between different systems
Proven record of providing end-user support with excellent problem-solving abilities
Proficiency in Agile methodologies
Excellent intercultural, verbal, and written communication skills, with an emphasis on tactful delivery of opinions and feedback
Strong infrastructure knowledge required including Unix, Windows, networking
Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines
Preferred qualifications, capabilities, and skills
Experience in Identity and access management and working at code level
Enthusiasm for learning new technologies, with a focus on public cloud platforms like Google Cloud Platform, or Azure and Gen AI
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