FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Senior Infrastructure and Data Engineer, Remote in Europe
Bifrost Studios. Own and evolve the Kubernetes platform on Google Cloud through Terraform .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing Kubernetes platforms on Google Cloud using Terraform, with a strong focus on building automated data pipelines and ensuring data compliance. Proven ability to oversee production infrastructure, database performance, and incident response in live trading environments.
Highest-signal resume keywords
KubernetesGoogle Cloud Platform (GCP)TerraformPythonJava
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
End-to-End Production OwnershipAutomated PipelinesRelational Database ManagementSchema DesignCI/CDObservabilityFault-Tolerant ArchitectureData NormalizationIncident ResponseMarket Data Systems
Soft Skills
Problem-SolvingCollaborationCommunication
Tools & Technologies
AI Coding AgentsDevOps ToolsMonitoring ToolsAlerting Systems
Industry Keywords
Trading SystemsMarket DataData ComplianceVendor IntegrationHigh-Availability Architecture
Tech Stack
Tools & technologiesCloudGoogle Cloud PlatformJavaJavaScriptKubernetesPythonTerraform
About the role
Key responsibilities & impact- Own and evolve the Kubernetes platform on Google Cloud through Terraform
- Build and operate pipelines ingesting market data from multiple vendors
- Normalize, validate and ensure strict format compliance for market data
- Own deployment, monitoring, alerting and incident response for live trading systems
- Own relational and analytical databases supporting trading and research
- Design schemas and manage database performance, operations and high-availability architecture
- Steward integrations with external data providers and broker connectivity
- Preserve proprietary data reliability and long-term usability
- Reduce operational toil through automation
- Work directly with the CTO, quant and data engineering team
- Act as the clear owner when issues occur during market hours
- Report directly to the CTO and co-founder
Requirements
What you’ll need- End-to-end production ownership of a production infrastructure and data platform
- Kubernetes, GCP and Terraform in production
- Infrastructure as code treated as an engineering discipline
- Track record of 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
- Solid 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 line shipped and its system impact
- Genuine interest in markets
- Prior experience with trading or market data systems is a meaningful plus
- Based in Copenhagen or within a CET-compatible European time zone
Benefits
Comp & perks- Permanent employment
- Full-time employee