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
