Senior Observability Infrastructure Engineer

United States Digital Space LLC; Amsterdam; On-site; EUR 70,000 - 100,000; Full time

Job summary

Deepstreamtech is seeking an experienced Observability Infrastructure Engineer to join their Platform Engineering team in Amsterdam, Netherlands. The role involves building and managing observability systems, operating large-scale environments with petabytes of data, and automating operations for scalable performance. Candidates should have 10+ years of experience in observability or infrastructure, proficiency in Go or Python, and hands-on experience with Kubernetes and core telemetry data stores. The company values diversity and encourages applications from all qualified candidates.

Qualifications

• 10+ years of experience in the observability domain or infrastructure domain.
• Expertise in operating core telemetry data stores at scale.
• Understanding of Linux at a kernel level.
• Proven hands-on experience operating production workloads on Kubernetes.
• Proficient in Go or Python to build tools and automation.

Responsibilities

• Join the Platform Engineering organization as an Observability Infrastructure Engineer.
• Build and run Observability pillars on premises and Kubernetes.
• Manage petabytes of data and thousands of servers.
• Design and implement future architecture of logging and metrics systems.
• Own and manage hybrid infrastructure with over 1,500 servers.

Skills

Observability domain experience

Elasticsearch/Opensearch/VictoriaLogs/Clickhouse

Prometheus/VictoriaMetrics

Kubernetes operation

Go or Python proficiency

Job description

Requirements

• This is a role for a builder and a problem solver who enjoys deep technical troubleshooting across distributed systems and then turns recurring issues into automated, repeatable solutions
• 10+ years of experience in the observability domain or in a relevant platform/infrastructure domain
• Observability Stack Expertise: You have hands‑on experience operating core telemetry data stores at scale e.g. Elasticsearch/Opensearch/VictoriaLogs/Clickhouse for logging, Prometheus/ VictoriaMetrics for metrics and Grafana Tempo for distributed tracing
• Linux Experience: You understand the operating system at a kernel level and can debug complex networking, file system, and performance issues on both bare metal and virtualized hardware
• Production Kubernetes Experience: Proven hands‑on experience operating, and troubleshooting production workloads on Kubernetes (on‑prem and/or cloud), including strong day‑to‑day use of kubectl and Kubernetes primitives (e.g. Namespaces, Pods, Deployments/StatefulSets, Services, Ingress, ConfigMaps/Secrets)
• Software Engineering Mindset: You are proficient in Go or Python and do not just write scripts; you build tools and automation platforms that treat infrastructure as code
• (Desirable) Experience with large scale, multi‑tenant isolation and quota or cost governance approaches for telemetry platforms.
• (Desirable) Familiarity with regulated environments where security, audibility, and data handling requirements shape platform design decisions.
• Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What the job involves

• We are looking for an experienced Observability Infrastructure Engineer to join our Platform Engineering organization
• You will be part of the team responsible for building and running Observability pillars on premise and on Kubernetes
• Our systems collect, process, and store the logs, metrics, and traces that allow hundreds of product teams to monitor their services in real time
• You will work in a large-scale environment where we manage petabytes of data and thousands of servers
• We are currently in the middle of a major transformation: focusing on automation of operations and enabling self‑service for our users
• Build the next generation of our platform: Design and implement the future architecture of our logging and metrics systems. You will play a key role in redesigning our infrastructure to support new global regions, ensuring data isolation and regulatory compliance in different geographies, and more
• Own infrastructure operations: You will take full ownership of our hybrid infrastructure, managing the lifecycle of over 1,500 servers across both bare‑metal and Kubernetes environments
• Automate to reduce toil: You will write code in Go or Python to eliminate manual operational tasks. Your goal is to build self‑healing systems that do not require manual intervention during the night. You will improve our CI pipelines to ensure that changes to our clusters are safe, predictable, and automated
• Optimize for scale and performance: You will dive deep into performance bottlenecks within our distributed tracing and logging pipelines. We deal with high‑volume data streams that can overwhelm standard configurations. You will tune our Elasticsearch clusters, optimize Prometheus and VictoriaMetrics storage, and ensure our OpenTelemetry implementation can handle peak traffic without missing a beat
• Reliability and Engineering: You will participate in on‑call rotations, but your primary focus will be engineering solutions that stop alerts from firing in the first place. You will help us upgrade our stack to the latest versions and ensure our platform remains secure and performant. You will improve the self‑service experience by implementing automated guardrails and quota management to prevent noisy tenants from destabilizing the platform, while designing safer API access patterns for our users