Principal Engineer - Core Cloud Platform

A
AlphaSenseCloud infrastructure
Remote - United KingdomFull-TimePrincipal
Salary not disclosed
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Job Details

Required Skills
AWSPythonSQLElasticSearchKubernetesMongoDBClickhouseGoHelm

Requirements

  • Extensive experience with Kubernetes, its components, containerization, and AWS.
  • A proven track record running Kubernetes- and cloud-based production SaaS systems at scale.
  • Experience operating Kubernetes as a large fleet with hundreds of clusters.
  • Strong knowledge of data storage across SQL, MongoDB, ClickHouse, and Elasticsearch.
  • Strong operational and troubleshooting skills with Kubernetes, databases, and messaging systems.
  • Deep understanding of networking and production use of service meshes and gateways.
  • Experience separating infrastructure configuration from application code at scale.
  • Experience with cell-based, multi-tenant, or multi-region architectures.
  • Proficiency in Python and Golang.
  • Experience with highly performant CI/CD practices that support agentic workflows.
  • Ability and desire to design, lead, influence, and deliver ambitious technical roadmaps.
  • Nice to have: experience with Vespa.
  • Nice to have: end-to-end automated provisioning of environments, regions, or cells.
  • Nice to have: Kubernetes fleet lifecycle management tools or production use of HashiCorp Vault or similar secret management systems.

Responsibilities

  • Own the architectural roadmap for the cloud, Kubernetes, and storage platform.
  • Own cloud-side configuration and the Helm chart layer for Cloud Core.
  • Build the cell registry and automate provisioning of new cells.
  • Design a reusable cross-cell gate mechanism.
  • Operate and evolve the cloud and Kubernetes platform, including data storage layers.
  • Make upgrades, patching, and lifecycle management routine across hundreds of clusters.
  • Improve infrastructure security, reliability, cost efficiency, and performance.
  • Champion standards and initiatives that promote uniformity and eliminate duplication.
  • Enable self-service and agentic workflow patterns supporting a Build it - Own it model.
  • Build tooling and AI-powered integrations to reduce cognitive load in cloud.
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