Adyen

4 months ago

Senior Observability Infrastructure Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Join Adyen's Platform Engineering as an Observability Infrastructure Engineer responsible for building and running on-premise and Kubernetes-based logging, metrics, and tracing platforms. You will design scalable architectures, own hybrid infrastructure (1,500+ servers), automate toil with Go/Python, optimize Elasticsearch/Prometheus/VictoriaMetrics/OpenTelemetry, and help reduce incident noise through self-healing tooling and guarded auto-scaling in a multi-region, regulated environment.

Location: Amsterdam

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Design and implement the future architecture of our logging and metrics systems, enabling data isolation and regulatory compliance across geographies.
•Own infrastructure operations for a hybrid setup, managing the lifecycle of over 1,500 servers across bare-metal and Kubernetes environments.
•Automate to reduce toil by writing Go or Python code to build self-healing systems and improve CI pipelines for safe, automated cluster changes.
•Optimize for scale and performance by identifying bottlenecks in distributed tracing/logging pipelines and tuning Elasticsearch, Prometheus, and OpenTelemetry for peak traffic.
•Improve reliability by reducing alerts, upgrading stack versions, and implementing automated guardrails and quota management for multi-tenant stability.

Key Requirements

•4+ years of experience in the observability domain or in a relevant platform/infrastructure domain.
•Hands-on experience operating core telemetry data stores at scale (Elasticsearch/Opensearch/VictoriaLogs/Clickhouse) for logging, Prometheus/VictoriaMetrics for metrics, and Grafana Tempo for distributed tracing.
•Linux experience with kernel-level debugging of networking, file system, and performance issues on bare metal and virtualized hardware.
•Production Kubernetes experience: operating and troubleshooting production workloads on Kubernetes (on-prem and/or cloud) with kubectl and primitives (Namespaces, Pods, Deployments/StatefulSets, Services, Ingress, ConfigMaps/Secrets).
•Software engineering mindset: proficient in Go or Python and building tools/automation that treat infrastructure as code.

Experience:ObservabilityTelemetryKubernetesLog managementMulti-tenant isolation

Skills:Problem-solvingCommunicationCollaboration

Languages:English

Tech Stack:ElasticsearchOpensearchVictoriaLogsClickhousePrometheusVictoriaMetricsGrafana TempoOpenTelemetryGoPythonLinuxKubernetesKubectl

Company Brief

Adyen

Global payments company providing a unified platform for accepting payments, risk management, and financial services to merchants and enterprises across online, mobile, and in-store channels.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Amsterdam, Netherlands

Founded: 2006

Website LinkedIn

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Adyen

4 months ago

Senior Observability Infrastructure Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: Amsterdam

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Design and implement the future architecture of our logging and metrics systems, enabling data isolation and regulatory compliance across geographies.
•Own infrastructure operations for a hybrid setup, managing the lifecycle of over 1,500 servers across bare-metal and Kubernetes environments.
•Automate to reduce toil by writing Go or Python code to build self-healing systems and improve CI pipelines for safe, automated cluster changes.
•Optimize for scale and performance by identifying bottlenecks in distributed tracing/logging pipelines and tuning Elasticsearch, Prometheus, and OpenTelemetry for peak traffic.
•Improve reliability by reducing alerts, upgrading stack versions, and implementing automated guardrails and quota management for multi-tenant stability.

Key Requirements

•4+ years of experience in the observability domain or in a relevant platform/infrastructure domain.
•Hands-on experience operating core telemetry data stores at scale (Elasticsearch/Opensearch/VictoriaLogs/Clickhouse) for logging, Prometheus/VictoriaMetrics for metrics, and Grafana Tempo for distributed tracing.
•Linux experience with kernel-level debugging of networking, file system, and performance issues on bare metal and virtualized hardware.
•Production Kubernetes experience: operating and troubleshooting production workloads on Kubernetes (on-prem and/or cloud) with kubectl and primitives (Namespaces, Pods, Deployments/StatefulSets, Services, Ingress, ConfigMaps/Secrets).
•Software engineering mindset: proficient in Go or Python and building tools/automation that treat infrastructure as code.

Experience:ObservabilityTelemetryKubernetesLog managementMulti-tenant isolation

Skills:Problem-solvingCommunicationCollaboration

Languages:English

Tech Stack:ElasticsearchOpensearchVictoriaLogsClickhousePrometheusVictoriaMetricsGrafana TempoOpenTelemetryGoPythonLinuxKubernetesKubectl

Company Brief

Adyen

Global payments company providing a unified platform for accepting payments, risk management, and financial services to merchants and enterprises across online, mobile, and in-store channels.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Amsterdam, Netherlands

Founded: 2006

Website LinkedIn