Engineering Manager, Document Management
Core
Lead end-to-end delivery of document management systems and intelligent automation solutions for financial services customers, ensuring compliance and production-scale reliability.
Role type
Senior Engineering Manager (Document Management & AI Automation)
Builds
Document management platforms, intelligent automation workflows (AI classification, retention), and cloud infrastructure on AWS/Azure.
Domain
Financial Services / Document Management / Cloud Infrastructure / AI/ML
Deliverable
production ML models
Required skills
Team leadership, Java/.NET architecture, RESTful API design, AWS/Azure operations, CI/CD strategy, Incident management, AI/ML roadmap planning, Secure AI development, Compliance governance, Front-end oversight (React/Angular), Data modeling
Preferred skills
Experience with OpenShift, LLM integration patterns, Agent frameworks, TDD practices, Agile SDLC
Technologies
Java, .NET, React, Angular, Node.js, AWS, Azure, OpenShift, Git, Azure DevOps, Jira, GitHub Copilot, Claude Code
Responsibilities
Manage day-to-day delivery of engineering initiatives; Own document platform architecture end-to-end; Make architectural decisions across backend and front-end stacks; Design and govern RESTful API and microservices architecture; Set and enforce engineering standards for cloud infrastructure; Own CI/CD pipeline strategy; Manage incident response and environment health; Drive the near-term AI roadmap for intelligent automation; Guide team adoption of best practices for AI/ML development; Enforce secure development practices and compliance standards; Provide technical leadership and people management to software engineers.
Seniority
Senior, hands-on IC with people management