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AlphaSense

Builds AI search tools for market research

Principal Engineer - Core Cloud Platform

Platform Engineering +1Confirmed live in the last 24 hours
Full-timeHelsinki, FinlandNo salary listed

About the Job

Requirements

  • Extensive experience with Kubernetes, its components, containerization, and AWS cloud.
  • A proven track record of 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 technologies, including SQL, MongoDB, ClickHouse, and Elasticsearch.
  • Strong operational and troubleshooting skills with Kubernetes, databases, and messaging systems.
  • Deep understanding of networking and production-level usage 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 Go.
  • Experience with highly performant CI/CD practices that support agentic workflows.
  • Ability and desire to design, lead, influence, and deliver ambitious technical roadmaps.

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 to reduce new-cell setup from weeks to days.
  • Design the cross-cell gate mechanism as a reusable standard checkpoint across every cell.
  • Own, operate, and evolve the cloud and Kubernetes platform, including its data storage layers.
  • Make upgrades, patching, and lifecycle management routine across hundreds of clusters.
  • Continuously improve infrastructure security, reliability, cost efficiency, and performance.
  • Champion standards and drive initiatives to promote uniformity and eliminate duplication.
  • Enable self-service and agentic workflow patterns that support a Build it - Own it model.
  • Build tooling and AI-powered integrations that reduce the cognitive load in cloud.
  • Architect, design, and implement simple, maintainable solutions.

Desired Qualifications

  • Experience with Vespa.
  • Experience with end-to-end automated provisioning of new environments, regions, or cells.
  • Experience managing large fleets of Kubernetes clusters with lifecycle management tools.
  • Production usage of HashiCorp Vault or similar secret management systems.

About the Company

AlphaSense

Builds AI search tools for market research

AlphaSense builds market intelligence software for investment professionals and corporate teams researching companies, competitors, and business trends. Its platform brings company filings, earnings calls, industry news, and expert interviews into a searchable library, so analysts work across sources rather than opening each document separately. AI tools interpret research questions, summarize findings, and link answers to the underlying material for review. Organizations also connect their internal research to the platform and pay subscription fees for access to its software and content. AlphaSense launched in 2011 and is headquartered in New York City.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$1.8B
Headquarters
New York City, New York
Founded
2011

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