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Farfetch in Porto seeks an Observability Engineer to build and maintain the telemetry ecosystem. You will design scalable pipelines for Logs, Metrics, and Traces, using OTEL, Fluentbit, and Victoria Metrics, while ensuring high performance and cost efficiency.
You will collaborate with engineering teams, expand self-service analytics, and help keep the observability stack robust and secure in a fast-paced e-commerce environment.
Farfetch is a leading global marketplace for the luxury fashion industry. The Farfetch Marketplace connects customers in over 190 countries and territories with items from more than 50 countries and over 1,400 of the world’s best brands, boutiques, and department stores, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a global marketplace.
We're on a mission to build end-to-end products and technology that powers the an incredible e-commerce experience for luxury customers everywhere, understanding the motivations and needs of our customers and partners, to designing and testing hypotheses, to creating industry-leading experiences for luxury customers.
Our office is near Porto, in the north of Portugal, and is located in a vibrant business hub. It offers a dynamic and welcoming environment where our employees can connect and network with a large community of tech professionals.
As an Observability Engineer in the Tech Platform team, you will help build and maintain the core of our telemetry ecosystem. Your mission is to support a scalable and reliable platform for analysis, detection, and investigation, empowering users across FARFETCH Business Units through comprehensive coverage of telemetry data. In this role, you will be a valuable contributor dedicated to improving our observability infrastructure. You will work on building and optimizing data pipelines and storage solutions for Logs, Metrics, Traces, Profiling, and RUM, helping to reduce the cognitive load for developers while ensuring our telemetry systems maintain high levels of performance and resilience.
Assist in the design and implementation of robust observability infrastructure, focusing on the scalability, high availability, and performance of our core telemetry platforms.
Support the management of data pipelines and storage, ensuring the reliable ingestion, processing, and querying of Logs, Metrics, and Traces using technologies like OpenTelemetry (OTEL), Fluentbit, and the Victoria ecosystem.
Help build self‑service capabilities that empower engineering teams and FARFETCH Business Units to be autonomous in their analysis, detection, and investigation efforts.
Monitor and maintain the reliability and performance of our internal observability stack, ensuring systems like Grafana and various exporters remain robust.
Support the integration of Observability Frameworks (Audit, Logging, Monitoring, etc.), ensuring they fit seamlessly into the broader platform architecture.
Actively participate in technical discussions, learn from senior engineers, and share your knowledge to foster a culture of continuous learning and psychological safety within the team.
You have practical experience (or a strong foundational understanding) building, supporting, or maintaining observability tools and distributed systems.
You have hands‑on experience or familiarity with telemetry infrastructure tools such as OpenTelemetry, Fluentbit, Victoria Metrics/Logs, and Grafana.
You have exposure to cloud infrastructure and container orchestration (e.g., Kubernetes) and are eager to deepen your knowledge of observability architecture.
You understand the software development lifecycle and have experience with at least one programming language (e.g., Golang or Python) to help build tools, exporters, or automations.
You have strong analytical and problem‑solving skills, with an interest in continuous system improvement, infrastructure as code, and automation.
You have good interpersonal and communication skills, with the ability to collaborate effectively with your team and other engineering stakeholders.
You understand the importance of data security, compliance, and cost‑efficiency as core pillars of a reliable observability platform.