Software Developer
advanceautoparts
Job Description
- Design and implement high-performance product search and resolution systems using:
- Vertex AI Retail Search / Elasticsearch / custom retrieval engines
- Build:
- Attribute-heavy search models
- Fitment resolution logic (vehicle àpart mapping)
- High-cardinality indexing strategies
- Design and build event-driven, horizontally scalable systems using:
- Kafka / Pub/Sub / NATS
- Develop and optimize Cloud ETL pipelines on GCP (Dataflow, BigQuery, Cloud Functions, Pub/Sub) for large-scale product data processing (1.2M+ SKUs, millions of fitment records)
- Integrate with Google Vertex AI Retail Search API for product catalog indexing, search, and recommendations
- Implement observability practices — create dashboards (Grafana, Cloud Monitoring), alerts (PagerDuty, ServiceNow), and SLO-based monitoring for production services
- Apply GenAI/LLM capabilities to improve catalog data quality, product matching, and search relevance
- Build and optimize large-scale streaming pipelines: Apache Flink / Apache Beam / Dataflow
- Participate in CI/CD pipeline management, container orchestration (GKE/Kubernetes), and infrastructure-as-code (Terraform)
- Build and integrate:
- RAG pipelines
- Vector-based search systems
- AI-assisted product matching
- Collaborate with Product, Data Engineering, and Merchandising teams to translate business requirements into technical solutions