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Vice President Nasdaq Software Engineer Jobs (NOW HIRING)

Nasdaq

Software Engineer, Sr Specialist

Philadelphia, PA · Hybrid

$123K - $163K/yr

As a Software Engineer reporting to VP, Software Engineering, you'll play a critical role in developing and maintaining the technology that powers Nasdaq's Derivatives Market System. You'll work on ...

Nasdaq

Software Engineer, Sr Specialist

Philadelphia, PA · On-site

$123K - $163K/yr

As a Software Engineer reporting to VP, Software Engineering, you'll play a critical role in developing and maintaining the technology that powers Nasdaq's Derivatives Market System. You'll work on ...

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Vice President Nasdaq Software Engineer information

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$194.4K

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How much do vice president nasdaq software engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for vice president nasdaq software engineer in the United States is $194,354.00, according to ZipRecruiter salary data. Most workers in this role earn between $163,500.00 and $225,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Vice President Nasdaq Software Engineer, and why are they important?

To thrive as a Vice President Nasdaq Software Engineer, you need advanced expertise in software development, system architecture, and a strong background in computer science or a related field, often with several years of leadership experience. Familiarity with programming languages such as Java or C++, cloud platforms, and financial technology systems, along with relevant certifications, is highly valued. Exceptional leadership, strategic thinking, and effective communication are crucial soft skills for leading teams and managing complex projects. These skills ensure the delivery of robust, secure, and innovative solutions that meet the high standards and regulatory demands of the financial industry.

What does a Vice President Nasdaq Software Engineer do?

A Vice President Nasdaq Software Engineer is a senior technical leader responsible for overseeing the design, development, and implementation of complex software systems at Nasdaq. They manage engineering teams, ensure projects align with business goals, and drive innovation in financial technology platforms. Their role combines hands-on technical expertise with leadership, strategic planning, and collaboration across multiple departments to deliver high-performance, secure, and reliable trading solutions.

How does a Vice President Nasdaq Software Engineer typically balance technical leadership with team management responsibilities?

As a Vice President Nasdaq Software Engineer, you are expected to guide technical strategy while also overseeing and mentoring engineering teams. This involves setting architectural direction, ensuring code quality, and collaborating with cross-functional partners such as product managers and operations. Balancing these duties requires strong communication and delegation skills, as well as a hands-on approach to solving complex technical challenges when needed. Many leaders in this role dedicate part of their week to technical work, while the rest focuses on people management, strategic planning, and stakeholder engagement.

What is the difference between Vice President Nasdaq Software Engineer vs Nasdaq Software Engineer?

AspectVice President Nasdaq Software EngineerNasdaq Software Engineer
ResponsibilitiesLeadership in project strategy, team management, high-level system designDeveloping, testing, and maintaining software applications
Required CredentialsBachelor's/Master's in CS or related, extensive experience, leadership skillsBachelor's in CS or related, relevant experience
Work EnvironmentSenior-level, strategic, often managerial interactionsTechnical, collaborative, focused on coding and development

The Vice President Nasdaq Software Engineer typically holds a leadership role with strategic responsibilities, overseeing teams and high-level projects. In contrast, the Nasdaq Software Engineer focuses on technical development and coding tasks. Both roles require strong technical credentials, but the VP position emphasizes management and strategic planning within the Nasdaq environment.

What cities are hiring for Vice President Nasdaq Software Engineer jobs? Cities with the most Vice President Nasdaq Software Engineer job openings:
What are the most commonly searched types of Nasdaq Software Engineer jobs? The most popular types of Nasdaq Software Engineer jobs are:
What states have the most Vice President Nasdaq Software Engineer jobs? States with the most job openings for Vice President Nasdaq Software Engineer jobs include:
What job categories do people searching Vice President Nasdaq Software Engineer jobs look for? The top searched job categories for Vice President Nasdaq Software Engineer jobs are:
Vice President Nasdaq Software Engineer jobs near you
Infographic showing various Vice President Nasdaq Software Engineer job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 86% Full Time, and 13% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $194,354 per year, or $93.4 per hour.
Vice President, Software Engineering

Vice President, Software Engineering

Verra Mobility

Mesa, AZ • On-site

Other

Posted 13 days ago

Verra Mobility rating

6.6

Company rating: 6.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

270th of 426 rated business services

Job description

Position Overview

The Vice President, Software Delivery is responsible for enterprise software delivery execution, platform modernization, and engineering operating model transformation across the Business Unit. This leader owns delivery outcomes across squads, drives platform consolidation strategy, establishes engineering governance standards, and ensures alignment between business priorities, enterprise architecture, AI initiatives, and technology execution.

The Vice President serves as the senior technical delivery leader for the organization, overseeing Business Unit delivery leadership while partnering closely with Product, Infrastructure, DevOps, Database, Security, AI, PMO, and Operations leadership. This role will guide the transition from fragmented delivery models into standardized, platform-oriented engineering capabilities that improve scalability, reduce duplication, accelerate delivery velocity, and strengthen operational reliability.

The ideal candidate has demonstrated experience deploying AI-enabled engineering practices and tools to maximize engineering productivity and efficiency while expanding quality, automation, and operational reliability across the software delivery lifecycle.

What You Will Own

This role owns enterprise software delivery performance and KPI accountability across Business Units, including delivery predictability, quality, operational stability, production health, and execution against strategic roadmap commitments. The Vice President will also own the technical leadership system centered on Tech Lead accountability, embedded architectural ownership, consistent KPI governance, disciplined PSR execution, and PMO-supported cross-department initiative delivery.

Essential Responsibilities

  • Collaborate with architecture and delivery peers on enterprise vision and strategy for Software Delivery across all Business Units.
  • Own delivery KPIs for predictability, quality, operational stability, and production health.
  • Lead platform consolidation and modernization into reusable services, APIs, and common engineering patterns.
  • Establish engineering standards for CI/CD, code review, automated testing, security scanning, release readiness, rollback, observability, and incident learning.
  • Drive measurable improvement in deployment frequency, lead time, defect escape rate, change failure rate, incident trends, and delivery predictability.
  • Ensure enterprise architecture standards and AI directives are adopted across products and squads.
  • Partner with Product, Infrastructure, DevOps, Database, Security, AI, PMO, Operations, QA COE, and Support to align enterprise initiatives with delivery execution.
  • Oversee Daily Management, KPI reviews, release readiness, production health reviews, and PSR execution across Business Units.
  • Drive AI-enabled engineering capabilities that improve developer productivity, test automation, defect reduction, documentation, incident analysis, and operational insight.
  • Establish responsible AI usage standards that balance productivity with security, compliance, maintainability, and quality.
  • Represent Software Delivery in executive customer, partner, and stakeholder discussions.
  • Build and coach high-performing delivery leadership teams, including BU leaders, Domain Software Managers, and Tech Leads.
  • Oversee CapEx and OpEx alignment, resource planning, and platform/tooling investments tied to delivery velocity and stability.

Qualifications

  • Bachelor degree in Computer Science, Engineering, or equivalent experience.
  • 12+ years of software engineering leadership experience, including 7+ years leading multiple teams or Business Units.
  • Proven success leading platform transformation, modernization, consolidation, and governance across legacy and modern systems.
  • Experience implementing scalable engineering governance models, Agile/Lean delivery practices, and measurable flow and quality improvements.
  • Demonstrated experience deploying AI-enabled engineering practices, developer productivity tooling, or intelligent automation within software delivery organizations.
  • Strong executive communication, stakeholder management, and organizational leadership capability.
  • Successful completion of the Nlets fingerprinting background assessment.

Technical Background

  • Experience across enterprise software delivery, platform ecosystems, APIs, microservices, cloud platforms, containers, CI/CD, observability, and reliability engineering.
  • Ability to evaluate platform strategy, delivery tradeoffs, architectural direction, modernization paths, AI-enabled engineering practices, and operational risk.
  • Familiarity with SaaS or large-scale digital platforms, internal developer platforms, distributed systems, and legacy modernization.

Leadership Competencies

  • Strategic Mindset: Aligns delivery, platform consolidation, modernization, AI adoption, and business growth.
  • Ensures Accountability: Owns enterprise delivery outcomes and creates clear accountability across BU leaders, Domain Software Managers, Tech Leads, Scrum Masters, PMO, QA COE, and Support.
  • Builds Effective Teams: Develops strong delivery leaders and strengthens succession planning, coaching, ownership, and continuous learning.
  • Customer Focus: Ensures delivery models improve customer outcomes, reliability, operational excellence, and predictable execution.
  • Cultivates Innovation: Advances modern engineering, automation, platform capabilities, and AI-enabled productivity while maintaining governance discipline.
  • Decision Quality: Balances speed, quality, reliability, security, scalability, maintainability, and business value.
  • Communicates Effectively: Aligns Product, Engineering, Infrastructure, DevOps, Database, Security, AI, PMO, Operations, and executive stakeholders.
  • Complex Ecosystem Delivery: Orchestrates execution across product, platform, infrastructure, quality, support, and operations domains.

Success in the First 6 Months

  • Establish enterprise delivery governance, KPI operating model, decision rights, Tech Lead accountability, and PMO engagement rules.
  • Define platform consolidation roadmap, modernization priorities, shared service opportunities, and legacy deprecation approach.
  • Improve delivery predictability and operational KPI performance quarter over quarter.
  • Standardize release readiness and production health reviews across Business Units.
  • Strengthen alignment with Infrastructure, DevOps, Database, Security, AI, Product, and PMO leadership.
  • Launch initial AI-enabled engineering productivity initiatives with measurable improvements in efficiency, quality, automation, or operational effectiveness.

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