About the Position

Observability Engineer

Porto, Portugal

Farfetch - Technology – Consumer Products Platform

Full-time / Hybrid

About the Company

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.

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.

Responsibilities

As an Observability Engineer in the Tech Platform team, you will:

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.

Requirements

Practical experience (or a strong foundational understanding) building, supporting, or maintaining observability tools and distributed systems.
Hands-on experience or familiarity with telemetry infrastructure tools such as OpenTelemetry, Fluentbit, Victoria Metrics/Logs, and Grafana.
Exposure to cloud infrastructure and container orchestration (e.g., Kubernetes) and eagerness to deepen your knowledge of observability architecture.
Understanding of the software development lifecycle and experience with at least one programming language (e.g., Golang or Python) to help build tools, exporters, or automations.
Strong analytical and problem-solving skills, with an interest in continuous system improvement, infrastructure as code, and automation.
Good interpersonal and communication skills, with the ability to collaborate effectively with your team and other engineering stakeholders.
Understanding of the importance of data security, compliance, and cost-efficiency as core pillars of a reliable observability platform.

We Offer

Health insurance for the whole family
Flexible working environment and well-being support and tools
Extra days off, sabbatical program, and days for community service
Training opportunities
Flexible benefits program

Equal Opportunities Statement

Farfetch is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law.

Scam Disclaimer

It has come to our attention that there may be fraudulent activities involving individuals or organizations falsely claiming to represent Farfetch in order to attract candidates to a SCAM. Please be aware that Farfetch does not conduct recruitment processes through messaging apps or any unofficial communication channels, other than our official careers website. Additionally, Farfetch will never ask candidates for any form of payment during the recruitment process.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Observability Engineer

Job description