Vice President of Engineering

Who are we?

IOG, is a technology company focused on Blockchain research and development. We are renowned for our scientific approach to blockchain development, emphasizing peer-reviewed research and formal methods to ensure security, scalability, and sustainability. Our projects include decentralized finance (DeFi), governance, and identity management, aiming to advance the capabilities and adoption of blockchain technology globally.

We invest in the unknown, applying our curiosity and desire for positive change to everything we do. By fueling creativity, innovation, and progress within our teams, our products and services are designed for people to be fearless, to be changemakers.

What the role involves:

You will provide group-wide  leadership for how engineering is defined, executed, and assured across IOG and its ventures.

Bringing advanced strategic and systems thinking, you will set and evolve the company’s engineering operating system-the standards, architectures, processes, and tooling that guide all software development, while embedding a culture of quality assurance, formal methods, and AI-enabled engineering practices to enhance reliability, scalability, and security.

Fostering a culture of continuous delivery, efficiency, and disciplined engineering, defining what good engineering looks like, specifying the tools and methods to use, and ensuring their consistent application across the entire technology stack. With strong people leadership, the VP leads a small, high-impact team that maintains accountability and drives engineering performance.

This is a senior enterprise role that integrates insights from competitive intelligence, research, and architecture into actionable standards and is accountable for ensuring these standards are adopted, applied, and continuously improved across the organisation.

By combining deep analytical and synthesis capabilities with strong executive communication and enterprise leadership, you will enable innovation at scale while safeguarding consistency, compliance, and long-term business impact. Recognising the transformative role of AI in software development, you will define how AI is integrated into engineering practices, including AI-generated code, automated testing, and continuous improvement. 

Enterprise Engineering Vision and Governance

• Define and own the organisation-wide Engineering Operating System – the principles, standards, processes, and tooling that dictate how engineering is performed across IOG and its ventures.
• Ensure these standards are implemented, adopted, and consistently followed across all engineering teams, providing enterprise-level technical assurance.
• Monitor adoption and drive remediation where standards or best practices are not met.

Engineering Operating System

• Set the architectural and technical guardrails that enable innovation while ensuring scalability, maintainability, and security.
• Oversee and govern the selection, approval, and lifecycle management of programming languages, frameworks, and engineering tools, establishing the rules and processes for their use.
• Establish clear success metrics and ensure continuous application and improvement of standards for predictable, high-quality delivery.
• Integrate outputs from Competitive Intelligence, Research, and Applied Research & Creative Engineering into the operating system so that new insights are quickly reflected in standards and processes.
• Continuously benchmark against elite engineering organisations by participating in conferences and industry networks, ensuring that IOG’s standards, architectures, tooling reflect global best practices. 

AI- Enabled Engineering

• Define the strategy for AI integration into engineering practices, including AI-assisted code generation, automated testing, and predictive quality assurance.
• Ensure AI-enabled tools are safely and effectively adopted to improve speed, maintainability, and innovation while retaining quality and compliance.

Quality Assurance

• Establish and lead group-wide quality assurance practices, including formal methods, advanced testing frameworks, and secure software development life-cycle standards.
• Define and monitor KPIs for software quality, delivery performance, and overall engineering health; act swiftly to address gaps.
• Provide enterprise-level assurance that all software meets or exceeds organisational, industry, and regulatory standards.

Internal Engineering Platform and Delivery Operations

• Own and manage the organisation’s internal engineering platform, including group-wide CI/CD pipelines, build and release management systems, and shared developer tools to guarantee reliabl