Job Purpose

Intercontinental 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.

Responsibilities

• Manages day-to-day delivery of document management engineering initiatives, ensuring on-time, high-quality releases aligned with business objectives and roadmap commitments
• Owns document platform architecture end to end: platform selection, API design, data models, document lifecycle workflows and compliance controls
• Makes architectural decisions across the backend stack (Java, .NET) and front-end integrations (React, Angular, Node.js) — not just reviews what the team produces
• Designs and governs RESTful API and microservices architecture for document services consumed across the organization
• Sets and enforces engineering standards for cloud infrastructure on AWS and Azure: availability, scalability, security and cost
• Owns CI/CD pipeline strategy — ensures the team ships with speed and confidence, not just correctness
• Owns end-to-end release management: coordinates deployments across on-premises and AWS environments, manages change requests and enforces release quality gates
• Maintains environment health across development, staging and production tiers — provisioning, observability, alerting and incident triage
• Manages incident response: triage, root cause analysis, post-mortem documentation and corrective action tracking
• Coordinates with Operations, Infrastructure and Security teams on environment changes, deployment activities and production escalations
• Drives the near-term AI roadmap: intelligent document classification, AI-assisted search and automated retention workflows
• Guides the team in adopting best practices for AI/ML development and deployment, including LLM integration patterns and agent frameworks
• Applies 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 platform
• Enforces 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 environments
• Oversees front-end application development in close coordination with the UX team, ensuring responsiveness and quality
• Oversees 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 emphasis on automated unit, component and scenario tests
• Establishes and tracks engineering KPIs: velocity, deployment frequency, mean time to recovery and quality metrics
• Provides technical leadership and people management to a team of software engineers, ensuring professional growth, skill development and alignment with organizational goals
• Conducts regular 1:1s, code reviews and performance assessments; manages capacity planning and hiring to support team growth and delivery commitments
• Stays current on industry standards in software engineering, document management 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 a related discipline; or equivalent combination of education and experience
• 7+ years managing software engineering teams, with a demonstrated record of developing engineers and raising team performance
• 5+ years working in document management or a related content, records or information management domain
• Hands-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 them
• Experience designing and owning RESTful APIs and microservices architecture in production environments
• Proven ability to own architectural decisions in a document management context — not just implement against a specification
• Experience deploying and operating applications on AWS or Azure, including availability, security and cost considerations
• Experience owning or governing CI/CD pipelines: tooling, standards and release quality
• Experience managing release cycles and environment operations across multiple tiers, including incident management and post-mortem processes
• Familiarity with AI/ML development and deployment — including LLM integration, agent frameworks or intelligent automation — sufficient to guide a team building these capabilities
• Experience with modern front-end technologies such as React or Angular
• Experience with source code management tools such as Azure DevOps, Git or Jira
• Experience with OpenShift container platform and developing microservices
• Familiarity with AI-assisted development tools such as GitHub Copilot or Claude Code
• Proficiency with development techniques such as Test-Driven Development, unit tests, component tests and scenario tests
• Experience working in a regulated financial services environment with working knowledge of compliance requirements around data privacy, access controls, audit trails and records retention
• Experience in a Software Development Life Cycle (SDLC) using Agile principles
• Ability to communicate well both verbally and in writing to technical and non-technical audiences at all levels, including executives, regulators and clients
• Excellent analytical, decision-making and problem-solving skills with the ability to multitask in a fast-paced environment