Cloud Infrastructure Engineer

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.

Humanoid is looking for a hands-on Cloud Infrastructure Engineer to own the continued development, deployment and operation of the existing data platform within Humanoid. The role spans cloud infrastructure, full-stack development, platform engineering and data engineering, with responsibility for turning internal engineering requirements into reliable production systems.

You will also lead delivery by external contractors and act as their sole point of contact with Humanoid. You will gather requirements from our internal engineering teams, translate them into technical briefs, oversee implementation and bring completed work back for validation. All contractor questions, feedback and delivery coordination will flow through you, without requiring direct communication between contractors and other Humanoid team members.

This role combines substantial engineering work with technical leadership and delivery ownership.

• Own platform delivery: Understand the existing platform architecture, identify the changes needed for Humanoid’s environment and workflows, and take those changes through development, integration, testing and deployment.
• Lead external contractors: Define work packages, priorities, technical requirements and acceptance criteria. Review designs and code, resolve technical questions, track delivery and ensure completed work meets Humanoid’s standards.
• Connect internal needs to implementation: Work with Humanoid’s engineering teams to understand requirements and constraints. Maintain a clear backlog, communicate tradeoffs and progress, and raise risks or decisions early.
• Build and operate cloud infrastructure: Manage compute, storage, networking and environments through infrastructure as code, with attention to security, reliability, performance and cost.
• Develop across the stack: Implement and maintain backend services, APIs, integrations and frontend interfaces that support internal users and engineering workflows.
• Improve the engineering platform: Build and maintain CI/CD pipelines, automated tests, deployment processes, environment configuration and developer tooling.
• Own data workflows: Develop and maintain data ingestion, processing, storage and access pipelines. Address data quality, schema changes, failed jobs and recovery.
• Maintain production reliability: Establish monitoring, logging and alerting; investigate incidents; and maintain practical rollback, backup and recovery procedures.
• Control access and preserve knowledge: Manage contractor permissions and secrets appropriately. Ensure source code, infrastructure definitions, documentation and operational knowledge remain accessible to Humanoid.
• Verify and hand over completed work. Validate contractor deliverables against agreed acceptance criteria and ensure releases include the documentation and support needed for ongoing operation.

The data platform is deployed reliably within Humanoid and develops in line with internal engineering needs. Contractor work arrives tested, documented and ready to integrate. Internal teams have clear visibility into progress and decisions, while you own the technical context, coordination and follow-through needed to deliver.

• Experience building, deploying and operating production software on a major cloud platform.
• Strong practical knowledge of infrastructure as code, containers, Linux, networking, identity and access management, and CI/CD.
• Solid software engineering skills, including backend services, APIs, databases and the ability to work across frontend and backend code.
• Experience with data pipelines, object storage, relational databases and reliable processing of large datasets.
• Evidence of taking ownership of an existing platform: understanding unfamiliar code, diagnosing problems and delivering improvements safely.
• Experience leading external developers or contractors, including scoping work, reviewing implementation and holding delivery to clear quality standards.
• Clear written and verbal communication, with the ability to turn incomplete requirements into actionable technical work.
• Sound judgment about what to build directly, what to delegate and when to involve internal engineering specialists.

Experience with robotics, machine learning infrastructure, sensor data or internal data platforms would be valuable. We welcome engineers with particular depth in infrastructure or platform engineering who can demonstrate effective delivery across the wider software stack.

• Competitive equity: stock options with meaningful upside as we scale.
• 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
• Private healthcare, including virtual and in-person care.
• Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
• Free daily breakfast, catered lunch, and snacks in-office.
• Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
• Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.