senior database engineer.

The company offers:

• Competitive remuneration package and professional stability within a team boasting high retention rates.
• Ticket restaurant vouchers.
• Remote-first / Hybrid working scheme, providing high autonomy and access to a physical hub for collaboration.
• Join an international-minded team working with a modern stack and zero legacy code.
• Access to professional tooling, including premium AI subscriptions (Claude, Cursor, etc.) and high-end hardware.
• Work within a dynamic environment dedicated to technical excellence and high-impact software development.
• Continuous learning: Thrive in a culture that invests in senior talent and the absolute latest in AI and orchestration technologies.

In this role, you will be responsible for a variety of tasks aimed at optimizing the development lifecycle and infrastructure:

• 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.

In order for your profile to match this position, you need to have the following:

• 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.

Considered an Asset:

• 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.

6+ years of professional experience administering time-series databases in production at scale.

Got any questions regarding this position? You can contact Konstantinos Adamopoulos at 6940080281, from Monday to Friday. Otherwise, feel free to contact me at kadamopoulos@randstad.gr.

We look forward to receiving your application, uploading your updated CV by clicking the 'apply now' option.

In case that your application advances to the next stage, you may be automatically invited to submit a video, answering a few interview questions.

Please note that for transparency and equity reasons, only those applications made online via our site will be assessed. After the screening of all the CVs received, we will only contact the candidates who meet the requirements of the job to arrange an interview. ​All applications are considered strictly confidential.