Manager, Development

OverviewJob PurposeICE 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.ResponsibilitiesManages 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 commitmentsOwns 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 environmentsCoordinates with Operations teams on environment setups, infrastructure changes, deployment activities, and production support escalationsManages ServiceNow (SNOW) ticketing workflows for incident management, change requests, and service requests, ensuring SLA adherence and timely resolutionAdministers and maintains Azure DevOps (ADO) for project management including Features, Stories, Tasks, sprint planning, backlog grooming, and release trackingProvides technical leadership and people management to a team of software engineers, ensuring professional growth, skill development, and alignment with organizational goalsKeeps 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 deploymentPartners with Product Management, Architecture, QA, and DevOps teams to translate business requirements into actionable engineering plans with clear milestones and deliverablesDesigns and oversees the development of APIs necessary to affect front end functionality and/or be consumed by other partnersEnsures full stack design and development quality across projects involving application development, migrations, and additions to existing applicationsOversees front end application development utilizing React, Angular, Node.js, etc. in close accord with a UX team and ensures the responsiveness of those applicationsOversees development of code libraries and APIs using Python and Java (Spring Boot)Manages delivery of AI solutions using AWS Bedrock and related servicesEnforces 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 databasesFacilitates software design meetings and analyzes user needs to determine technical requirementsReviews technical specifications based on conceptual design and stated business requirementsEnsures development and execution of test protocols with an emphasis on automated Unit Tests, Component Tests, and Scenario TestsManages documentation and procedures for installation, maintenance, and operational runbooksMentors and guides software development staff, conducting regular code reviews, 1:1s, and performance assessmentsManages capacity planning, resource allocation, and hiring activities to support team growth and delivery commitmentsEstablishes 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 ratesRemains current on industry standards in web development and AI/ML operationsPerforms additional related duties as assignedKnowledge and ExperienceA Bachelor's or Master's degree in Computer Engineering, Computer Science, or other related discipline; or equivalent combination of education and experience10+ years of experience in Software Development with 3+ years in a people management or team lead capacityDemonstrated experience managing engineering teams in a SaaS provider environment delivering multi-tenant applications at scalePrior experience working in industries that handle Non-Public Information (NPI) and Personally Identifiable Information (PII) such as Financial Services, Mortgage, Banking, Insurance, or HealthcareProven track record of delivering AI/ML applications to production including predictive AI, Generative AI, or Agentic AI solutionsExperience managing operational responsibilities including release management, environment operations (on-premises and cloud), observability/alerting, and incident managementExperience with ServiceNow (SNOW) for ticketing, change management, and incident workflowsExperience with Azure DevOps (ADO) for project management including Features, Stories, sprint management, and release trackingExperience working with development technologies including Python, .NET or Java/Spring, JavaScriptExperience with OAuth2, JWT, JWS, JWE, JWKS/certificates, signing and encryptionExperience with Open API Specifications 3.0 (OAS or Swagger)Experience working with OpenShift container platform and developing microservicesExperience with API documentation tools and formats, such as Swagger and Postman, to create API documentation that is comprehensive, accurate, and up to dateExperience with modern front-end technologies such as React or Angular a plusExperience with RESTful services and SOAP Web services developmentExperience working with applications in the cloud such as AWS or Azure a plusExperience with Continuous Integration and Continuous Delivery (CI/CD) pipelinesExperience with source code management tools such as Azure DevOps, TFS, Jira or GitExperience interacting with relational databases, such as MySQL, PostgreSQL, Oracle, or SQL ServerProficiency with development techniques such as Test-Driven Development, Unit Tests, Component Tests and/or Scenario Tests a plusFamiliarity working in a Software Development Life Cycle (SDLC) leveraging Agile principles and AI Tools such as GitHub Copilot, Claude Code or CursorExperience working with software security platforms such as Snyk, and remediating security vulnerabilitiesExcellent analytical, decision-making and problem-solving skillsMust be able to multitask in a fast-paced environment with focus on timeliness, documentation, and communications with peers and business users alikeAbility 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 & Agents3+ years of experience managing or directly contributing to teams delivering AI/ML solutions to production environmentsStrong understanding of agent systems built using modern LLM frameworks (Ex: LangChain, LangGraph, Semantic Kernel) and foundation models from AWS Bedrock, OpenAI, or Azure OpenAI platformsFamiliarity with Model Context Protocol (MCP) for server/client integrations, prompt engineering, and function/tool calling workflows in production environmentsUnderstanding of RAG patterns, vector database implementations, semantic search optimization, and autonomous agent architecture designExperience 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 systemsUnderstanding of LLM security best practices including prompt injection prevention, data leakage mitigation, and responsible AI governanceOperational & Delivery ManagementDemonstrated experience managing release cycles for enterprise SaaS applications including coordination of on-premises and cloud (AWS) deploymentsExperience establishing and managing observability and alerting frameworks using tools such as Datadog, CloudWatch, Grafana, New Relic, or similarProven ability to manage environment operations across multiple tiers (development, QA, staging, production) in both on-premises and cloud infrastructureExperience with incident management processes including triage, root cause analysis, post-mortem documentation, and corrective action trackingTrack record of managing cross-functional coordination with Operations, Infrastructure, Security, and Client Services teamsExperience managing teams through regulatory and compliance-driven release processes typical of financial services environments#LI-MA1 Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.