12 часов назад
Senior Platform Engineering Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Platform Engineering Manager (AI) (GCP/Kubernetes): Leading Cloud Platform and SRE teams while building scalable, resilient, and secure infrastructure for human data systems with an accent on reliability engineering, developer experience, and platform product ownership. Focus on defining SLOs and error budgets, improving observability and incident remediation, and delivering self-service infrastructure with SOC2 and ISO-27001 compliance.
Location: Remote, UK
Company
provides human data infrastructure that connects researchers and companies with a global participant pool to support AI development.
What you will do
- Lead, coach, and support the professional growth of Cloud Platform and SRE teams.
- Set the strategic direction for infrastructure and platform services, including Kubernetes clusters on GKE.
- Own availability and embed SRE practices through SLOs, SLAs, error budgets, observability, and incident remediation.
- Develop the developer-facing platform, including golden paths, self-service infrastructure, internal tooling, adoption metrics, and a platform roadmap.
- Maintain secure and compliant cloud environments aligned with SOC2 and ISO-27001 standards.
Requirements
- Experience leading infrastructure and SRE teams and scaling both platforms and people.
- Several years of deep expertise in Google Cloud Platform, Kubernetes, and infrastructure-as-code using Terraform, Terragrunt, or Crossplane.
- Experience with GitOps workflows and tools such as ArgoCD.
- Strong knowledge of complex infrastructure and application architecture, observability, and incident management.
- Ability to balance platform stability and reliability with developer productivity and delivery velocity.
- Ability to explain complex technical solutions and feasibility clearly to non-technical stakeholders.
Nice to have
- Experience with AWS, Python, JavaScript, TypeScript, Django REST Framework, MongoDB, PostgreSQL, Elasticsearch, DynamoDB, CircleCI, GitHub Actions, Celery, EventBridge, or Datadog.
Culture & Benefits
- Work in cross-functional product development groups spanning Engineering, Platform, Product, Data, Design, and Research.
- Collaborate in self-organizing teams with clear missions and strong ownership.
- Contribute to AI innovation through ethically sourced human behavioral data and feedback.
- Remote working, competitive salary, and benefits.
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