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Cloud Infrastructure Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Groupe-Ebra-1
Full Time position
Listed on 2026-10-24
Job specializations:
  • Software Development
    DevOps, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 90000 - 120000 GBP Yearly GBP 90000.00 120000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

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.

About

the Role

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.

What You'll Do
  • 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.

What We’re Looking For
  • 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.

  • Evide…

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