Engineering Manager, Document Management

OverviewJob PurposeIntercontinental Exchange’s (ICE) technology teams design, build and operate digital networks that connect global markets to opportunity. The Document Management Engineering team owns the platforms and workflows that ensure financial services customers can access, manage and rely on critical documents — with the precision and compliance posture that regulated markets demand.The Engineering Manager, Document Management is responsible for the end-to-end delivery of document management systems and intelligent automation solutions that support our financial services customers. This role combines hands-on technical leadership with operational excellence, overseeing release management, environment operations, team delivery and cross-functional coordination to ensure the platform is built, deployed and maintained at production scale.The role leads a team of mid and senior engineers across the full document management stack: backend services in Java and .NET, RESTful APIs and microservices, front-end integrations, cloud infrastructure on AWS and Azure, and CI/CD pipelines. It also owns the near-term roadmap for intelligent automation — AI-assisted classification, automated retention workflows and search capabilities — and is accountable for the people leadership, architecture decisions and operational rigor that keep the platform running at pace.ResponsibilitiesManages day-to-day delivery of document management engineering initiatives, ensuring on-time, high-quality releases aligned with business objectives and roadmap commitmentsOwns document platform architecture end to end: platform selection, API design, data models, document lifecycle workflows and compliance controlsMakes architectural decisions across the backend stack (Java, .NET) and front-end integrations (React, Angular, Node.js) — not just reviews what the team producesDesigns and governs RESTful API and microservices architecture for document services consumed across the organizationSets and enforces engineering standards for cloud infrastructure on AWS and Azure: availability, scalability, security and costOwns CI/CD pipeline strategy — ensures the team ships with speed and confidence, not just correctnessOwns end-to-end release management: coordinates deployments across on-premises and AWS environments, manages change requests and enforces release quality gatesMaintains environment health across development, staging and production tiers — provisioning, observability, alerting and incident triageManages incident response: triage, root cause analysis, post-mortem documentation and corrective action trackingCoordinates with Operations, Infrastructure and Security teams on environment changes, deployment activities and production escalationsDrives the near-term AI roadmap: intelligent document classification, AI-assisted search and automated retention workflowsGuides the team in adopting best practices for AI/ML development and deployment, including LLM integration patterns and agent frameworksApplies secure AI development practices — prompt injection prevention, data leakage controls and responsible AI governance — with specific attention to NPI and PII handled by the document platformEnforces secure development practices across coding, testing, access control and deployment, with emphasis on protecting Non-Public Information (NPI) and Personally Identifiable Information (PII)Ensures compliance with data privacy and security standards applicable to financial services and regulated document management environmentsOversees front-end application development in close coordination with the UX team, ensuring responsiveness and qualityOversees 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 emphasis on automated unit, component and scenario testsEstablishes and tracks engineering KPIs: velocity, deployment frequency, mean time to recovery and quality metricsProvides technical leadership and people management to a team of software engineers, ensuring professional growth, skill development and alignment with organizational goalsConducts regular 1:1s, code reviews and performance assessments; manages capacity planning and hiring to support team growth and delivery commitmentsStays current on industry standards in software engineering, document management and AI/ML operationsPerforms additional related duties as assignedKnowledge and experienceA Bachelor’s or Master’s degree in Computer Engineering, Computer Science or a related discipline; or equivalent combination of education and experience7+ years managing software engineering teams, with a demonstrated record of developing engineers and raising team performance5+ years working in document management or a related content, records or information management domainHands-on proficiency with Java and/or .NET backend development — able to review code, evaluate design decisions and identify problems without relying on the team to surface themExperience designing and owning RESTful APIs and microservices architecture in production environmentsProven ability to own architectural decisions in a document management context — not just implement against a specificationExperience deploying and operating applications on AWS or Azure, including availability, security and cost considerationsExperience owning or governing CI/CD pipelines: tooling, standards and release qualityExperience managing release cycles and environment operations across multiple tiers, including incident management and post-mortem processesFamiliarity with AI/ML development and deployment — including LLM integration, agent frameworks or intelligent automation — sufficient to guide a team building these capabilitiesExperience with modern front-end technologies such as React or AngularExperience with source code management tools such as Azure DevOps, Git or JiraExperience with OpenShift container platform and developing microservicesFamiliarity with AI-assisted development tools such as GitHub Copilot or Claude CodeProficiency with development techniques such as Test-Driven Development, unit tests, component tests and scenario testsExperience working in a regulated financial services environment with working knowledge of compliance requirements around data privacy, access controls, audit trails and records retentionExperience in a Software Development Life Cycle (SDLC) using Agile principlesAbility to communicate well both verbally and in writing to technical and non-technical audiences at all levels, including executives, regulators and clientsExcellent analytical, decision-making and problem-solving skills with the ability to multitask in a fast-paced environment Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.