Prolific

Cloud Platform Engineer

Prolific
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3 hours ago
Remote, United KingdomSenior

Responsibilities

  • Manage and optimise Kubernetes clusters in GKE using Terraform.
  • Design and implement golden paths and automation strategies for developer self-service.
  • Create and maintain infrastructure that enables teams to build and deploy safely and efficiently.
  • Provide technical expertise and support for GCP and Kubernetes-related questions.
  • Support SOC2, ISO-27001, and Cyber Essentials compliance in cloud environments.
  • Participate in the rolling on-call rota.
  • Create developer-focused documentation and self-service solutions.

Requirements

  • Extensive experience administering and optimising large-scale Kubernetes clusters.
  • Strong experience with Kubernetes tooling such as Helm and kustomize.
  • Strong experience with GitOps tooling such as ArgoCD.
  • Proven experience with Google Cloud Platform services and architecture.
  • Strong knowledge of GKE and Kubernetes, including production cluster maintenance and optimisation.
  • Strong experience with Terraform for infrastructure provisioning and automation.
  • Solid programming skills in Python and/or TypeScript.
  • Experience creating developer-focused documentation and self-service solutions.
  • Strong customer empathy and focus on supporting internal teams.
  • Experience with AWS and CDK is a plus.
  • Experience with cloud compliance standards such as SOC2 and ISO-27001 is beneficial.
  • Familiarity with Datadog and cloud infrastructure security best practices is beneficial.

Benefits

  • Competitive salary and benefits are offered.
  • Remote working is available.
  • The role offers work on Prolific’s human data platform and AI innovation mission.
Prolific

About Prolific

1,001-5,000 employees

Prolific builds an online marketplace to recruit verified participants and collect human data for academic research, product studies, and AI model development. Researchers and companies design studies and tasks, pay participants, and Prolific charges platform and service fees; the company also supports data labeling and AI training workflows through managed and self-serve tools. Founded in 2014 and headquartered in London, it is privately held and used by tens of thousands of organizations worldwide.

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