Lead Software Engineer - Java/AWS

This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions. As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking Team, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres to compliance standards, business requirements, and tactical best practices. Job responsibilities - Provides guidance to immediate team of software engineers on daily tasks and activities - Sets the overall guidance and expectations for team output, practices, and collaboration - Anticipates dependencies with other teams to deliver products and applications in line with business requirements - Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements - Creates a culture of diversity, opportunity, inclusion, and respect for the team members and prioritizes diverse representation - Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team - Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required qualifications, capabilities, and skills - Formal training or certification on Java concepts and 8+ years applied experience. In addition, demonstrated coaching and mentoring experience - Hands-on practical experience delivering system design, application development, testing, and operational stability - Proficiency with programming languages like Java is a must, SQL and experience in Spring boot, Micro services, AWS - Hands-on experience in RDBMS; Oracle or PostgresSQL - Proficiency in automation and continuous delivery methods - Hands-on experience in AWS EC2, AWS Lambda, AWS KMS, AWS ECS, AWS EKS, AWS S3, EMR, Athena, SQS, EventBridge, PostgresSQL - Hands-on experience with Cloud Infrastructure Provisioning Tools like Terraform & Cloud Formation etc - 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.) - Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security - Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices Preferred qualifications, capabilities, and skills - Experience in AI driven development and transformation - Practical cloud native experience - In-depth knowledge of the financial services industry and their IT system