Senior Infrastructure and Data Engineer – Remote in Europe

Bifrost Studios

Senior engineer owning Kubernetes, data pipelines, databases, and live trading reliability for Hyperion Quantitative Strategies, an AI-native systematic fund.

Posted 8/25/2026full-timeRemote • 🇩🇰 DenmarkSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing and evolving Kubernetes platforms on Google Cloud, with a strong focus on building reliable data ingestion pipelines and ensuring high-availability infrastructure for trading systems. Proficient in automation and incident response, with a solid understanding of relational databases and data quality preservation.

Highest-signal resume keywords

KubernetesGoogle Cloud Platform (GCP)TerraformPythonDevOps

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesGoogle Cloud Platform (GCP)TerraformPythonJavaJavaScriptRelational Database DesignCI/CDAutomated PipelinesFault-Tolerant Architecture

Soft Skills

OwnershipCollaborationProblem-SolvingCommunication

Tools & Technologies

AI Coding AgentsMonitoring ToolsAlerting Systems

Industry Keywords

Market Data SystemsTrading SystemsData QualityHigh-Availability ArchitectureIncident Response

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformJavaJavaScriptKubernetesPythonTerraform

About the role

Key responsibilities & impact

Own and evolve the Kubernetes platform on Google Cloud (GKE) through Terraform
Build and operate market-data ingestion pipelines, including normalization, validation, and strict format compliance
Own deployment, monitoring, alerting, and incident response for live trading systems
Own relational and analytical databases supporting trading and research, including schema design, performance, operations, and high-availability architecture
Steward integrations with external data providers and broker connectivity
Preserve proprietary data quality and long-term usability
Reduce operational toil through automation
Work directly with the CTO, quant team, and data engineering team
Act as the clear owner when issues arise during market hours
Report directly to the CTO and co-founder
Ensure research and quant teams can rely on consistently reliable infrastructure

Requirements

What you’ll need

End-to-end ownership of a production infrastructure and data platform
Typically five to twelve years of relevant experience, though the role does not filter strictly on years
Production experience with Kubernetes, GCP, and Terraform
Infrastructure as code treated as an engineering discipline
Experience building reliable, automated pipelines from messy external sources
Familiarity with vendor quirks, corporate actions, adjustments, and timezone handling
Strong Python and Java skills
JavaScript welcome
Relational database skills across schema design, performance, and operations
DevOps depth including CI/CD, observability, on-call practice, and fault-tolerant architecture
Use of AI coding agents as standard practice, with ability to explain every shipped line and its system impact
Genuine interest in markets
Prior trading or market data systems experience is a meaningful plus
Finance background not required
Based in Copenhagen or within a CET-compatible European time zone

Benefits

Comp & perks

Full-time employee status