Manager, Development

Overview: Job Purpose

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.

Responsibilities

• 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 ServiceNow (SNOW) ticketing workflows for incident management, change requests, and service requests, ensuring SLA adherence and timely resolution
• Administers and maintains Azure DevOps (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 DevOps 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

Knowledge and Experience

• 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 Services, Mortgage, Banking, Insurance, or Healthcare
• Proven track record of delivering AI/ML applications to production including predictive AI, Generative AI, or Agentic AI solutions
• Experience managing operational responsibilities including release management, environment operations (on-premises and cloud), observability/alerting, and incident management
• Experience with ServiceNow (SNOW) for ticketing, change management, and incident workflows
• Experience with Azure DevOps (ADO) for project management including Features, Stories, sprint management, and release tracking
• Experience working with development technologies including Python, .NET or Java/Spring, JavaScript
• Experience with OAuth2, JWT, JWS, JWE, JWKS/certificates, signing and encryption
• Experience with Open API Specifications 3.0 (OAS or Swagger)
• Experience working with OpenShift container platform and developing microservices
• Experience with API documentation tools and formats, such as Swagger and Postman, to create API documentation that is comprehensive, accurate, and up to date
• Experience with modern front-end technologies such as React or Angular a plus
• Experience with RESTful services and SOAP Web services development
• Experience working with applications in the cloud such as AWS or Azure a plus
• Experience with Continuous Integration and Continuous Delivery (CI/CD) pipelines
• Experience with source code management tools such as Azure DevOps, TFS, Jira or Git
• Experience interacting with relational databases, such as MySQL, PostgreSQL, Oracle, or SQL Server
• Proficiency with development techniques such as Test-Driven Development, Unit Tests, Component Tests and/or Scenario Tests a plus
• Familiarity working in a Software Development Life Cycle (SDLC) leveraging Agile principles and AI Tools such as GitHub Copilot, Claude Code or Cursor
• Experience working with software security platforms such as Snyk, and remediating security vulnerabilities
• Excellent analytical, decision-making and problem-solving skills
• Must be able to multitask in a fast-paced environment with focus on timeliness, documentation, and communications with peers and business users alike
• Ability to communicate well both verbally and in writing to technical and non-technical audiences of various levels within ICE or outside the organization (executives, regulators, clients, etc.)
• AI/ML & Agents
  • 3+ years of experience managing or directly contributing to teams delivering AI/ML solutions to production environments
  • Strong understanding of agent systems built using modern LLM frameworks (Ex: LangChain, LangGraph, Semantic Kernel) and foundation models from AWS Bedrock, OpenAI, or Azure OpenAI platforms
  • Familiarity with Model Context Protocol (MCP) for server/client integrations, prompt engineering, and function/tool calling workflows in production environments
  • Understanding of RAG patterns, vector database implementations, semantic search optimization, and autonomous agent architecture design
  • Experience managing delivery of multi-agent systems with awareness of patterns for orchestration, coordination, and memory management (short-term and long-term)
  • Ability to evaluate, test, and monitor AI agent performance using established frameworks and methodologies for non-deterministic systems
  • Understanding of LLM security best practices including prompt injection prevention, data leakage mitigation, and responsible AI governance
• Operational & Delivery Management
  • Demonstrated experience managing release cycles for enterprise SaaS applications including coordination of on-premises and cloud (AWS) deployments
  • Experience establishing and managing observability and alerting frameworks using tools such as Datadog, CloudWatch, Grafana, New Relic, or similar
  • Proven ability to manage environment operations across multiple tiers (development, QA, staging, production) in both on-premises and cloud infrastructure
  • Experience with incident management processes including triage, root cause analysis, post-mortem documentation, and corrective action tracking
  • Track record of managing cross-functional coordination with Operations, Infrastructure, Security, and Client Services teams
  • Experience managing teams through regulatory and compliance-driven release processes typical of financial services environments

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-: Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.