We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Corporate Global Tax Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

Job responsibilities

• Design, develop, and implement cloud-based applications and services.
• Collaborate with architects and engineers to ensure design solutions are aligned with business goals.
• Optimize applications for performance, scalability, and security.
• Participate in code reviews and provide constructive feedback to peers.
• Stay up to date with emerging Cloud and AI/ML technologies and industry trends to drive innovation and continuous improvement
• Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading-edge technologies
• 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
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and applied experience
• Experienced in cloud development (AWS), with a focus on application design and development.
• Experience with AI/ML model integration, Prompt engineering, LLM APIs (OpenAI, Bedrock) and Generative AI
• Advanced in Java and Python
• Strong experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
• Experience building RESTful APIs and working with event-driven or serverless architectures.
• 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.
• 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 in Infrastructure as code (IAC) such as Terraform or equivalent

• Experience in automation in any scripting languages.
• Relevant certifications such as AWS Certified Developer, Microsoft Certified: Azure Developer, or Google Professional Cloud Developer
• Familiarity with database technologies such as SQL, NoSQL, and cloud-native databases.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Experience with building out loosely coupled software and familiarity with SOA/Microservice architectures