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Senior Data Infrastructure Engineer

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Randstad

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Location:
Greece , Central Macedonia

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

Are you a highly skilled Senior Data Infrastructure passionate about building high-performance data layers for the next generation of AI infrastructure? We are looking for an expert to join our AI-native team and own the observability data layer for a high-impact project, ensuring optimal GPU utilization and real-time monitoring of complex SLOs. The position is full-time, based in Greece, operating under a remote-first / hybrid work model.

Job Responsibility:

  • Design, deploy, and maintain production-grade time-series databases (e.g., InfluxDB, TimescaleDB, VictoriaMetrics, or Thanos) to handle massive data ingestion
  • Own the Prometheus ecosystem end-to-end, architecting cross-region consolidation and automating provisioning via Infrastructure-as-Code
  • Lead Grafana dashboard engineering, creating real-time feeds for health scores, SLO burn-rate queries, and alerting pipelines
  • Architect and manage automated backups, restores, failover, and disaster-recovery runbooks using Terraform and Ansible
  • Perform deep query-performance analysis, including cardinality management, indexing optimization, and down-sampling strategies
  • Work at the intersection of infrastructure and product to ensure seamless metrics collection and storage across all regions

Requirements:

  • Degree in Computer Science or other relevant disciplines
  • At least 6+ years of professional experience administering time-series databases in production at scale
  • Expert-level proficiency in PromQL and a solid understanding of system design, concurrency, and data consistency
  • Hands-on mastery of at least two of the following: Prometheus, VictoriaMetrics, InfluxDB, TimescaleDB, or ClickHouse
  • Proven experience scaling Prometheus and tuning Thanos, Cortex, or Mimir with cloud object-store backends
  • Advanced optimization skills, including flame-graph profiling, read-path parallelism tuning, and series-churn analysis
  • Deep experience with Kubernetes, Consul, and Ansible
  • Familiarity with the full Observability stack (OpenTelemetry, Loki, Tempo/Jaeger)
  • Knowledge of Infrastructure-as-Code for managing complex deployment pipelines
  • Experience with cross-tenant query isolation and block compaction scheduling

Additional Information:

Job Posted:
May 18, 2026

Expiration:
June 11, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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