Senior Backend Engineer - Attribute Enrichment
New
Spain, EuropeFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 5+ years
- Required Skills
- AWSPythonGoNosqlRustCI/CD
Requirements
- 5+ years of backend engineering experience in production environments
- Strong computer science fundamentals, including networking and distributed systems principles
- Proficiency in Python and backend development best practices
- Experience building and maintaining high-load, real-time APIs and backend services
- Strong knowledge of testing practices, including unit and integration testing frameworks such as Pytest or unittest
- Experience with relational and/or NoSQL databases, caching systems, and scalable architectures
- Familiarity with CI/CD pipelines and cloud infrastructure (AWS or equivalent)
- Experience working in cross-functional teams with product and ML engineers
- Excellent English communication and collaboration skills
Responsibilities
- Design, build, and maintain high-performance backend services that deliver enriched product attributes, metadata, and badges at scale, ensuring low latency and high availability
- Collaborate with ML engineers and cross-functional teams to productionize enrichment systems and integrate them into search and discovery workflows
- Develop and maintain scalable backend services for attribute enrichment and badge generation
- Design high-throughput, low-latency APIs supporting real-time e-commerce search and browse experiences
- Build and evolve data pipelines and services handling enriched product metadata and derived attributes
- Implement CI/CD pipelines and deployment workflows using modern cloud-native tools and best practices
- Set up and improve observability systems including monitoring, logging, and alerting for production reliability
- Work with relational and NoSQL databases to ensure data consistency, performance, and scalability
- Write and maintain unit, integration, and end-to-end tests to ensure system quality and resilience
- Collaborate closely with ML engineers to operationalize enrichment models in production environments
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