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
.

• 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
  .

• 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.

• 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/No
  
  SQL 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.

• 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.

• 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.

The skills and behaviors that will help…