Vice President Core Engineering

Selby Jennings Ltd

  • Dallas, TX
  • 30+ days ago

    Highlights

    A leading global investment bank is building out a strategic engineering team responsible for developing and supporting critical platform capabilities used across the organization. This role is ideal for an experienced engineer who enjoys solving complex technical challenges, influencing architecture, and working across a broad set of stakeholders.

    Numbers & Facts

    LocationDallas, TX

    Description

    Vice President, Software Engineering (AI & Cloud)

    Location: Dallas (Fully Onsite)

    Level: Vice President

    Overview

    A leading global investment bank is building out a strategic engineering team responsible for developing and supporting critical platform capabilities used across the organization. This group sits at the center of the engineering ecosystem, partnering with a variety of core teams within the firm.

    This role is ideal for an experienced engineer who enjoys solving complex technical challenges, influencing architecture, and working across a broad set of stakeholders. The team is open to both senior individual contributors and engineering leaders, but all candidates must maintain strong hands-on technical skills.

    Responsibilities

    • Design, build, and enhance enterprise-scale software platforms leveraged across multiple business and technology groups.
    • Partner closely with cloud, infrastructure, AI/ML, data, and application engineering teams to deliver shared capabilities and services.
    • Contribute to architectural decisions, technical strategy, and engineering best practices.
    • Develop highly scalable and resilient systems using modern software engineering principles.
    • Drive automation, platform improvements, and operational excellence initiatives.
    • Mentor engineers and provide technical leadership within project teams.
    • Collaborate with stakeholders across the organization to identify opportunities for platform modernization and innovation.

    Qualifications

    • 8+ years of professional software engineering experience.
    • Strong software development background in Python and/or Java.
    • Experience building distributed systems, APIs, microservices, or large-scale enterprise platforms.
    • Exposure to cloud technologies (AWS, Azure, or GCP) and modern cloud-native architectures.
    • Experience working with or supporting AI/ML, Generative AI, or data-driven platforms is highly desirable.
    • Proven ability to operate in complex, highly regulated, or large-scale enterprise environments.
    • Strong understanding of software design, system architecture, and engineering best practices.
    • Excellent communication skills with the ability to work across diverse technical teams.

    Preferred Background

    We are particularly interested in candidates who have experience from:

    • Large technology organizations
    • Global financial institutions
    • Cloud platform engineering teams
    • Infrastructure software engineering groups
    • AI/ML platform or developer platform teams
    • Enterprise architecture or shared services organizations

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