Lead Software Engineer - Cloud Runtime Compute

As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank Runtime Compute Team, part of Cloud Success, you play a crucial role in an agile team. You collaborate closely with stakeholders and customers across Infrastructure Platforms technology partners, and Cybersecurity & Technology Controls to enhance, develop, and deliver firm-wide cloud runtime compute products and features. Your efforts focus on reducing runtime compute costs, improving reliability and performance, and enabling broader runtime compute strategies and solutions.
Job Responsibilities
Cloud Runtime Compute Engineering: Develop and engineer cloud runtime compute products and solutions with a security-first approach. Ensure compliance with the firm's security control policies and procedures throughout the product lifecycle, utilizing technologies such as Terraform, Rego, Sentinel, GoLang, Python, and other languages as required.
Cross-Functional Collaboration: Work collaboratively with engineers and architects in Infrastructure Platform teams, engage with Runtime Compute Product Security for threat modelling, and partner with Commercial & Investment Bank SRE, Architecture, and application teams for investigations and solution design.
Teamwork and Support: Actively participate in team activities, communicate effectively, and support team members as needed. Work towards aligning on project goals and timelines, fostering a cooperative and positive work environment.
Documentation: Create and maintain user guides, architecture and design records, and other essential documentation to support product development and usage.
Cultural Contribution: Actively contribute to a team culture that values diversity, opportunity, inclusion, and respect, fostering a positive and collaborative organizational environment.
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
Computer Science degree or equivalent expertise
Practical cloud native experience
Hands-on experience in system design, application development, testing, and maintaining operational stability throughout the software development lifecycle, incorporating agile methodologies and practices.
Strong experience with more than one programming language
Good understanding of agile methodologies/practices
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
Proven ability to navigate complex organizational structures.
Preferably experience owning and operating a complex containerized runtime compute solution, e.g. AWS EKS
Knowledge of networking and routing in cloud environments, including the ability to create and manage network policies effectively
Experience with cloud roles, permissions, and role-based access control, particularly within a containerized cloud environment
Certified Kubernetes Application Developer (CKAD) certification, or a strong interest in obtaining it, demonstrating proficiency in Kubernetes application development
Knowledge of the financial services industry and IT systems