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SeniorOfficeLondon

DevOps Engineer

H
Humanoid
Уровень
Senior
Формат
Office
О роли

Описание вакансии

About the company
  • Humanoid builds the world's most capable, commercially-scalable, and safe humanoid robots.
  • HMND-01 Alpha is running in real industrial pilots.
Responsibilities
  • Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement.
  • Build and maintain robust CI/CD pipelines for both software and ML workflows.
  • Ensure reliability, scalability, observability, and security of production systems and ML infrastructure.
  • Automate deployment, orchestration, and environment management using modern DevOps tooling.
  • Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production.
  • Proactively detect, troubleshoot, and resolve infrastructure and model performance issues.
  • Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering.
  • Document infrastructure, workflows, and operational procedures clearly and thoroughly.
Requirements
  • Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role.
  • Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch.
  • Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes).
  • Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm).
  • Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing.
  • Ability to design scalable, secure, and observable systems in fast-moving environments.
  • Strong debugging and problem-solving skills across distributed systems.
  • Excellent collaboration and communication skills, with experience working in cross-functional teams.
  • Understanding of security and compliance best practices for both software and ML systems.
Conditions
  • 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
  • Fully funded private healthcare for UK employees.
  • Equity included.
  • Pension scheme with a total 8% contribution (5% employee, 3% employer).
  • Free daily breakfast, catered lunch, and snacks in-office.
Стек и навыки

С чем работаем