Observability Engineer
Farfetch · Hybrid
MeritLog read this listing from Farfetch's Lever job board and last checked it on September 8, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- Hybrid
- Salary
- Not listed by source
- Location
- Porto
Hiring context
How this role compares at Farfetch
Farfetch has 60 live roles in MeritLog’s catalog across 8 job families, and 16 of them are in engineering. 0 of those listings publish a pay range, a disclosure rate of 0%.
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Job description
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. TECHNOLOGY 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. PORTO 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. THE ROLE 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.