As a Backend Engineer in the Attribute Enrichment team, you will design, build, and maintain scalable services that deliver enriched items, variations, and attributes via a public API.
You will manage a dedicated database to store enriched items, their metadata, and their attributes, and develop APIs that integrate with CIO Search and Browse to support enriched facets and searchable tokens.
You will collaborate closely with ML engineers to develop and optimize the Attribute Enrichment service, ensuring its scalability, reliability, and performance.
Your engineering expertise and collaborative efforts will enhance the quality and functionality of our solutions, driving customer satisfaction and engagement.
You will tackle challenges such as building a new service to deliver ML-generated enriched attributes, designing a high-throughput, low-latency Badges service, and deploying high-available services in the cloud.
You will implement CI/CD pipelines following best industry standards and set up service observability, monitoring metrics, and alerting.
You will work with a dedicated database to manage enriched items and ensure data consistency, performance, and availability for downstream services and APIs.
You will write and maintain unit, integration, and end-to-end tests for backend services to ensure code quality and service reliability.
You will collaborate with technical and non-technical business partners and communicate with stakeholders within and outside the team.
Requirements:
You must have a strong computer science background and familiarity with networking principles.
Proficiency in Python and backend development patterns is required.
You should have experience in designing, developing, and maintaining high-load real-time services and public APIs.
Experience with any of the major public cloud providers (AWS, Azure, GCP) is necessary.
Hands-on experience with setting up and improving CI/CD pipelines is required.
Experience with NoSQL and relational databases, distributed systems, and caching solutions is a plus.
You should be skilled in setting up and managing observability tools like Prometheus and Grafana, and integrating alert systems like PagerDuty.
Experience with any compiled programming language (e.g., Go, Rust) is a plus.
You should have experience writing unit and integration tests for backend services using frameworks such as Pytest or unittest.
Experience collaborating in cross-functional teams is required.
Excellent English communication skills are necessary.
Benefits:
The compensation includes a base range of 90-110k USD, stock options, and a work from home bonus.
The team is fully remote, allowing you to choose where you live.
A work from home stipend is provided to help set up your home office.
Apple laptops are provided for new employees.
There is a training and development budget for every employee, refreshed each year.
Parental leave is available for qualified employees.
You will work with smart people who will help you grow and make a meaningful impact.
