Manager, Development

Overview

ICE Mortgage Technology is digitizing and automating the entire real estate and housing finance lifecycle so critical data can flow seamlessly from one process to the next creating a better experience for the homeowner, lender and servicer. We are providing configurable technology, extensive data and comprehensive analytics that span the entire loan life cycle.

The Development Manager - AI Agent & Full Stack Development will be responsible for managing the end-to-end delivery of AI-powered agent systems and intelligent automation solutions that enhance our mortgage servicing capabilities. This role combines hands-on technical leadership with operational excellence, overseeing release management, environment operations, team delivery, and cross-functional coordination to ensure our next-generation intelligent applications are built, deployed, and maintained at production scale across multi-tenant SaaS environments.

• Manages day-to-day delivery of AI agent and full stack development initiatives, ensuring on-time, high-quality releases aligned with business objectives and quarterly roadmap commitments
• Owns and drives operational excellence including release management, environment provisioning and maintenance (on-premises and AWS), observability and alerting setup, and incident triage across development, staging, and production environments
• Coordinates with Operations teams on environment setups, infrastructure changes, deployment activities, and production support escalations
• Manages Service Now (SNOW) ticketing workflows for incident management, change requests, and service requests, ensuring SLA adherence and timely resolution
• Administers and maintains Azure Dev Ops (ADO) for project management including Features, Stories, Tasks, sprint planning, backlog grooming, and release tracking
• Provides technical leadership and people management to a team of software engineers, ensuring professional growth, skill development, and alignment with organizational goals
• Keeps up to date with trends in AI as it relates to solving business problems and guides the team in adopting best practices for AI/ML development and deployment
• Partners with Product Management, Architecture, QA, and Dev Ops teams to translate business requirements into actionable engineering plans with clear milestones and deliverables
• Designs and oversees the development of APIs necessary to affect front end functionality and/or be consumed by other partners
• Ensures full stack design and development quality across projects involving application development, migrations, and additions to existing applications
• Oversees front end application development utilizing React, Angular, Node.js, etc. in close accord with a UX team and ensures the responsiveness of those applications
• Oversees development of code libraries and APIs using Python and Java (Spring Boot)
• Manages delivery of AI solutions using AWS Bedrock and related services
• Enforces secure development practices which encompass secure coding, testing, access control, and secure deployment to build robust and resilient applications, with particular emphasis on protecting Non-Public Information (NPI) and Personally Identifiable Information (PII)
• Ensures compliance with data privacy regulations and security standards applicable to financial services and mortgage industry (e.g., GLBA, SOC 2, PCI-DSS)
• Oversees the design and creation of data models for applications and databases
• Facilitates software design meetings and analyzes user needs to determine technical requirements
• Reviews technical specifications based on conceptual design and stated business requirements
• Ensures development and execution of test protocols with an emphasis on automated Unit Tests, Component Tests, and Scenario Tests
• Manages documentation and procedures for installation, maintenance, and operational runbooks
• Mentors and guides software development staff, conducting regular code reviews, 1:1s, and performance assessments
• Manages capacity planning, resource allocation, and hiring activities to support team growth and delivery commitments
• Establishes and tracks engineering KPIs including velocity, quality metrics, deployment frequency, mean time to recovery (MTTR), and AI-specific metrics such as LLM token usage, agent response times, and tool call success rates
• Remains current on industry standards in web development and AI/ML operations
• Performs additional related duties as assigned

• A Bachelor s or Master s degree in Computer Engineering, Computer Science, or other related discipline; or equivalent combination of education and experience
• 10+ years of experience in Software Development with 3+ years in a people management or team lead capacity
• Demonstrated experience managing engineering teams in a SaaS provider environment delivering multi-tenant applications at scale
• Prior experience working in industries that handle Non-Public Information (NPI) and Personally Identifiable Information (PII) such as Financial…