16 days ago
Remote, United KingdomSenior
Responsibilities
- Manage and optimize Kubernetes clusters in GKE using Terraform.
- Design and implement golden paths and automation strategies that enable developer self-service and reduce operational complexity.
- Create and maintain infrastructure solutions that help development teams build and deploy safely and efficiently.
- Serve as the technical point of contact for GCP- and Kubernetes-related questions across the organization.
- Create developer-focused documentation and self-service solutions.
- Support SOC2, ISO-27001, and Cyber Essentials compliance in cloud environments.
- Participate in a rolling on-call rota.
Requirements
- Extensive experience administering and optimizing large-scale Kubernetes clusters.
- Strong experience with Kubernetes tooling including Helm and kustomize.
- Strong experience with GitOps tooling such as ArgoCD.
- Proven experience with Google Cloud Platform services and architecture, including GKE.
- Strong experience using 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 a focus on supporting internal teams.
- Experience with AWS and CDK is a plus.
- Experience implementing or maintaining SOC2 and ISO-27001 cloud compliance standards is a plus.
- Familiarity with observability tools such as Datadog is a plus.
- Experience implementing cloud infrastructure security best practices is a plus.
Benefits
- Remote working.
- Competitive salary and benefits.
- Opportunities to work with Prolific’s human data platform and contribute to AI-related research and innovation.
- Mission-driven culture focused on ethically sourced human behavioral data.
Tech Stack
Categories
About Prolific
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.