Full Stack Software Engineer, Vice President – Corporate Functions Technology

Who We Are Looking For

We are seeking a Full Stack Software Engineer to play a critical role in modernizing the technology ecosystem that supports Internal Audit. This role sits at the intersection of engineering excellence, cloud‑native delivery, and intelligent workflow enablement, with a strong focus on building enterprise‑grade systems that improve audit lifecycle efficiency, transparency, and data‑driven risk insights.

This is an individual contributor position with end‑to‑end ownership of complex systems. You will actively design, build, test, and operate full stack, cloud‑native applications, while also serving as a technical leader—driving system design decisions, setting engineering standards, and leading by example through high‑quality code.

You will deliver secure, scalable applications that embed AI‑enabled capabilities directly into user workflows—supporting structured content generation, workflow enhancement and planning experiences—while meeting enterprise standards for security, privacy, governance, and operational readiness.

What You Will Be Responsible For

Full Stack Engineering & Solution Design

• Serve as a hands‑on lead engineer, owning the design and implementation of complex full stack features across front‑end, back‑end, APIs, and data layers.
• Lead technical design and solution architecture for key initiatives, translating functional requirements into scalable, maintainable systems.
• Build high‑quality user interfaces using component‑driven architectures and modern state management, with strong attention to usability, accessibility, and performance.
• Design and implement secure, resilient backend services and RESTful APIs that support enterprise workflows and AI‑enabled user journeys.
• Set and reinforce engineering standards for code quality, testing, documentation, and maintainability through design reviews and code reviews.

Cloud, DevOps & Production Operations

• Design and implement cloud‑native architectures, leveraging containerization, resiliency patterns, horizontal scalability, and performance optimization.
• Build, own, and evolve CI/CD pipelines, infrastructure as code, automated testing, and release controls to enable rapid yet governed delivery.
• Ensure production systems meet enterprise expectations for availability, reliability, observability, and operational resilience.
• Own troubleshooting and resolution of complex issues across the full stack, leading root cause analysis and driving durable fixes.
• Champion best practices for monitoring, alerting, logging, and cost awareness in cloud environments.

AI Integration & Data Platforms

• Integrate AI/ML capabilities into applications in close collaboration with AI and data teams, embedding them directly into user workflows.
• Implement evaluation controls, telemetry, and safe failure modes for AI‑enabled features, including human‑in‑the‑loop review checkpoints where appropriate.
• Design and integrate with databases and enterprise data platforms, including SQL/NoSQL systems and lakehouse technologies (e.g., Databricks).
• Build efficient data access patterns and support scheduled or recurring processes for continuous monitoring, analytics, and insights generation.

Security, Risk & Compliance

• Embed security, privacy, and compliance requirements into system design and implementation from the ground up.
• Enforce secure coding practices, identity and access controls, audit logging and data protection standards.
• Partner with risk, security, and compliance stakeholders to ensure solutions meet regulatory and internal policy requirements in a regulated environment.
• Contribute to architectural decisions that balance innovation, usability, and risk management in an enterprise context.

Collaboration & Continuous Improvement

• Collaborate closely with product owners, audit stakeholders, designers, AI teams, data engineers and platform partners to deliver production‑ready solutions.
• Help shape technical roadmaps, influence prioritization of technical debt, and drive continuous improvement across the engineering lifecycle.
• Lead by example in adopting and promoting modern engineering practices, tools, and patterns.

What We Value

The skills and behaviors that will help you succeed in this role include:

• Strong full stack engineering expertise, spanning front‑end, back‑end, APIs, and data layers in enterprise-grade systems.
• Demonstrated technical leadership as a hands‑on engineer, leading by example through design, coding, and operational ownership.
• Ability to design scalable, cloud‑native systems with a focus on reliability, performance, and maintainability.
• Solid DevOps discipline, including CI/CD, infrastructure as code, automated testing, and observability.
• Experience integrating AI/ML capabilities into applications in a controlled, observable, and user‑centric way
• Strong understanding of secure coding and compliance considerations in regulated enterprise environments.
• Analytical problem‑solvi