VP/Director, Cloud Platform (Software Engineering)

Verda; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Verda in London seeks a senior platform leader to drive the next stage of our cloud platform, developing capabilities, improving performance and reliability, and scaling services to meet growing customer demand.

You’ll own the platform’s technical direction and the team delivering it, including Customer Support, with scope across compute, storage, Kubernetes, serverless, and inference, plus the console, APIs, SDKs, CLI, and billing.

Qualifications

• Experience scaling an engineering organisation and developing managers/technical leaders.
• Deep technical judgment in cloud platforms or distributed systems.
• Proven track record delivering and improving platform reliability.

Responsibilities

• Set the platform vision and goals translating company aims into outcomes.
• Multiply impact by coaching Engineering Managers and technical leaders.
• Own platform delivery with realistic commitments and risk management.
• Lead through technical depth and design improvements for platform.
• Make the platform usable for humans and agents with clear interfaces and costs visibility.
• Continuously improve AI-assisted workflows and development practices.
• Raise service quality through testing, security, observability, and operations.

Skills

Cloud platforms

Distributed systems

Leadership

Product and business judgment

Communication

Tools

Kubernetes

Job description

At Verda, we're building a full-stack AI cloud, covering everything from data centers and hardware to our own cloud platform that the world's leading AI teams use to do serious AI work.

We strive to make a positive mark on the world through the infrastructure we build and give leading teams a service they can truly depend on. Headquartered in Helsinki, we operate globally with offices in London and San Francisco.

Join Verda while it's still being built - not once it's finished.

About 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.

What you'll do

• 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.

What we're looking for

• Experience scaling an engineering organisation, including developing managers and technical leaders, with evidence of faster delivery, higher quality, and broader team ownership.
• Deep technical judgment in cloud platforms or distributed systems, and current confidence writing, reviewing, and debugging production software.
• A record of carrying technical decisions through implementation and improving delivery or reliability.
• Product and business judgment: you connect the big picture to technical detail and focus engineering effort on a clear customer or business purpose.
• Conviction that AI changes how engineering works, backed by practical use of coding agents and a willingness to rethink established workflows.
• Clear communication, influence, and collaboration, backed by empathy and self-awareness. You listen well, explain your reasoning, and have the courage to make difficult calls.

Experience with GPU cloud services, developer platforms, or AI workloads is a plus. We care about what you've built and the people you've developed.

What's next

We're building fast and this role needs the right person behind it. There's no artificial deadline, but when we find who we're looking for, we move.