Sr Lead Infrastructure Engineer / Platform Engineer
Summary
Lead modernization of branch automation platforms using C#, .NET, PowerShell, and AI tools to re-architect Windows workflows at scale for JPMorgan Chase’s retail branches.
Become a member of a team where you can contribute significantly to shaping the future of a world-renowned and influential company. Among top performers, you can make a direct and meaningful impact.
Job responsibilities
- Applies deep technical expertise and problem-solving methodologies focused on analyzing complex data and systems, anticipating issues, and finding ways to mitigate risk
- Works with other platforms to architect and implement changes required to resolve issues and modernize the organization and its technology processes
- Be responsible for infrastructure engineering in accordance with business requirements
- Drives results and implements multiple complex programs
- Drives thought leadership within the product line
- Executes work according to compliance standards, risk and security, and business objectives
- Considers upstream/downstream system or technical implications and advises on mitigation actions
- Advises junior engineers and technologists
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on infrastructure engineering concepts and 5+ years applied experience
- Knowledge of one or more areas of infrastructure engineering such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
- Hands-on experience with AI-assisted development tools - VS Code, GitHub Copilot, Claude Code, or equivalent - and working knowledge of LLM integration or agentic tooling in a production context
- Ability to operate with autonomy, take technical ownership, and contribute at a high level within a small, senior team
- Minimum 7 years of deep working knowledge of C#, .NET, and PowerShell in production environments
- Experience with Windows platform engineering and automation workflows at scale
- Strong understanding of REST API design, relational database development, and system integration patterns
- Deep technical knowledge across multiple domains
- Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds
Preferred qualifications, capabilities, and skills
- Experience with front-end frameworks (React or equivalent) - the stack has a UI layer
- Experience with event-driven architecture or messaging platforms
- Familiarity with MCP (Model Context Protocol) or tools-first API design patterns
- Experience in financial services or a comparable enterprise environment
- Background in platform modernization or legacy system re-architecture