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Platform Engineering Manager

ProlificAI Data company
United KingdomManager
Y Combinator logo
Y Combinator
Partech logo
Partech
Oxford Science Enterprises
10x Value Partners
AltaIR Capital
Pioneer Fund
Software Engineering

About the role

TL;DR

Lead Cloud Platform and SRE teams, ensuring scalable and reliable infrastructure for AI development.

  • As Prolific's Platform Engineering Manager, you will lead our Cloud Platform and SRE teams, taking charge of the technical foundation and reliability that allows Prolific to scale securely and efficiently.
  • You'll be instrumental in driving technical decision-making and collaboratively building scalable, resilient, and maintainable systems that power the future of AI.
  • Key Responsibilities Provide leadership, coaching, and professional growth opportunities for Platform teams.
  • Drive the strategic direction for infrastructure and platform, ensuring robust management of services like Kubernetes (GKE) clusters.
  • Own availability and embed SRE principles, including defining SLOs, SLAs, and enhancing observability.
  • Own the developer-facing platform, treating it as a product with its own roadmap.
  • Ensure cloud environments remain secure and compliant with standards such as SOC2 and ISO-27001.
  • Requirements Proven experience leading teams in infrastructure and SRE domains.
  • Deep expertise in Google Cloud Platform (GCP), Kubernetes, and Infrastructure-as-Code (Terraform/Terragrunt, Crossplane).
  • Solid understanding of complex infrastructure and application architecture, observability principles, and incident management.
  • Experience balancing platform stability with developer productivity and velocity.
  • Fluency in translating complex technical solutions into clear narratives for non-technical stakeholders.
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Required skills

Engineering ManagementGoogle CloudKubernetesTerraformArgoCDPythonPostgreSQLMongoDBElasticsearchDynamoDBCircleCIGitHub ActionsDatadogAWS

Nice-to-have skills

JavaScriptTypeScriptCelery

Domain expertise

aideveloper-tools

Tech stack

Google CloudKubernetesTerraformArgoCDPythonJavaScriptTypeScriptMongoDBPostgreSQLElasticsearchDynamoDBCircleCIGitHub ActionsCeleryDatadogAWS

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