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Executive Director Infrastructure Engineering

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: DTCC
Full Time position
Listed on 2026-06-08
Job specializations:
  • Engineering
    Systems Engineer
Job Description & How to Apply Below
Are you ready to make an impact at DTCC?

Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.

Pay and Benefits:
  • Competitive compensation, including base pay and annual incentive
  • Comprehensive health and life insurance and well-being benefits, based on location
  • Pension / Retirement benefits
  • Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
  • DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and the third day of your choosing).
The Impact You will have in this Role

The Executive Director Infrastructure Engineering is accountable for defining and driving the technical North Star for DTCC's cloud ecosystem, ensuring that engineering efforts across platform, infrastructure, security, and application domains are aligned, coherent, and converging toward a unified target state. This role ensures that the firm's cloud platform evolves as a deliberate, engineered system.

This role operates at the intersection of engineering, architecture, risk, and operations, with accountability not for delivering individual systems, but for ensuring that all systems collectively evolve toward a cohesive, scalable, and resilient cloud platform.

Primary Responsibilities

Cloud Platform Technical Direction
  • Define and maintain the target-state vision for the cloud platform, including:
    • Platform capabilities (compute, networking, data, identity, observability, resilience).
    • Engineering patterns and composability models.
    • Service interaction models and boundaries.
  • Establish a clear technical direction, based on:
    • Business priorities (resilience, scalability, cost efficiency).
    • Regulatory and risk expectations.
Engineering Alignment & Integration
  • Ensure alignment across IT (e.g., infrastructure, middleware, data, Dev Sec Ops , networking, security) to build capabilities that are interoperable and composable.
  • Identify and address:
    • Fragmentation across platform capabilities.
    • Redundant or conflicting engineering efforts.
    • Gaps between architectural intent and engineering implementation.
  • Drive cross-domain alignment decisions, including tradeoffs between standardization and flexibility.
  • Act as the engineering arbiter for core platform design decisions and tradeoffs impacting scalability, resilience, and operability.
  • Provide clear, decisive guidance where multiple teams have overlapping ownership.
From Strategy to Executable Engineering
  • Translate high-level strategy and architectural direction into:
    • Reference implementations.
    • Engineering patterns and blueprints.
    • Policy-as-code and automation guardrails.
  • Ensure that direction is not only defined, but:
    • Proven through real implementations.
    • Embedded into platform engineering pipelines.
    • Consumable by delivery teams without ambiguity.
Platform Capability Model & Roadmap Coherence
  • Define and maintain a holistic cloud platform capability model.
  • Ensure that domain-level roadmaps:
    • Roll up to a coherent platform evolution.
    • Avoid creating disconnected or incompatible capabilities.
  • Partner with leadership to align:
    • Investment decisions.
    • Capability sequencing.
    • Platform maturity milestones.
Adoption, Reuse & Engineering Consistency
  • Drive adoption of:
    • Standardized platform patterns.
    • Reference architectures.
    • Reusable modules and services.
  • Monitor adoption trends and proactively address drift from standards and proliferation of one-off solutions.
Feedback Loop from Production Reality
  • Ensure that platform direction is continuously refined based on:
    • Production incidents and failure modes.
    • Operational friction and bottlenecks.
    • Engineering team feedback.
*
* NOTE:

The Primary Responsibilities of this role are not limited to the details above.

Qualifications
  • 12+ years in cloud platform engineering, distributed systems, or large-scale infrastructure environments or equivalent experience.
  • Demonstrated experience driving technical direction across multiple engineering domains.
  • Proven ability to influence senior engineering leaders and align teams without direct authority.
  • Deep understanding of:
    • Cloud platforms (AWS, Azure, hybrid).
    • Infrastructure-as-Code and automation models.
    • Resilience, observability, and distributed system design.
  • Experience operating in large, matrixed, regulated environments.
Talents needed for success
  • Experience defining and evolving enterprise-scale platform architectures.
  • Familiarity with:
    • Policy-as-code, compliance automation, and audit integration.
    • Platform product models and internal developer platforms.
  • Prior roles as a principal engineer, distinguished engineer, or equivalent.
Leadership & Operating Style
  • Systems…
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