VP/Director, Cloud Platform (Software Engineering)

The role

You lead the next stage of Verda's cloud platform: developing new capabilities, improving performance and reliability, and scaling services as customer demand grows. Your scope brings together compute, storage, Kubernetes, serverless, and inference with the console, APIs, developer tooling, identity, and billing customers need to use them. You own the platform's technical direction and the organisation delivering it, including Customer Support. The platform serves both people and AI agents. Customers should be able to discover, provision, and manage services through a consistent experience across the console, APIs, SDKs, CLI, and agent integrations. Working with EVP Engineering, Product, and the VP of Infrastructure, you'll turn company priorities into platform improvements that help us win and retain customers globally, with clear ownership across teams. Your main impact comes from developing leaders, improving how teams work, and continuously advancing AI-assisted engineering. Success means shorter delivery cycles, more dependable services, and teams that can independently own a broader range of platform capabilities. Set the platform vision and goals. Translate company goals into clear platform and team outcomes with Product. Work backwards from customer needs, choose which problems matter, and decide what to build, buy, or integrate. Multiply impact through others. Hire deliberately against the capabilities we need. Coach Engineering Managers and technical leaders, strengthen their judgment, and give teams clear ownership. Own platform delivery. Agree customer outcomes and realistic commitments with Product, allocate capacity, remove blockers, and surface risks early. Lead through technical depth. Contribute to designs and implementation. Challenge decisions that slow us down or take the platform away from its goals, and help teams find a better path. Make the platform work for humans and agents. Enable both to complete real workflows, with clear interfaces, scoped permissions, predictable behaviour, and visibility into actions, costs, and results. Continuously improve AI-assisted workflows. Use coding agents yourself, experiment with better development, testing, and review practices, and scale what works. Assess results through delivery speed, defects, and rework. Raise service quality. Raise the bar for testing, security, observability, and operations. Turn customer feedback and recurring incidents into lasting improvements.