ML Search Engineer - Full-Stack, Cloud-Native

Genuine Parts Company; Alabama; On-site; USD 110,000 - 160,000; Full time

Job summary

Genuine Parts Company is seeking a Search Engineer (Software Engineer III) to design and build frontend and backend systems powering product discovery for industrial buyers. You will own the full lifecycle from prototyping to production-grade services on GCP.

You bring a strong Python and React foundation, with experience in search systems, vector databases, or Elasticsearch, and you will collaborate with ML engineers, architects, and product owners in an agile environment.

Qualifications

• Strong Python and React foundation with 6+ years of backend or full-stack experience.
• Cloud-native experience: design/deploy cloud apps (GCP preferred) with microservices, REST/gRPC APIs.
• Mentorship: guide mid-level/junior developers and share knowledge.

Responsibilities

• Design, develop, and deploy Python services end-to-end, including retrieval/ranking pipelines and client APIs.
• Build ML inference pipelines (embeddings, transformers, LLMs) and reranking services.
• Develop event-driven, real-time architectures using GCP (Cloud Run, Pub/Sub, GKE, Cloud Functions).
• Write clean, well-tested backends; own deployment, observability, and on-call duties.
• Contribute to frontend architecture and create reusable component libraries.
• Collaborate with Search/ML architects to implement hybrid retrieval, vector databases, and relevance tooling.
• Maintain Elasticsearch/OpenSearch indexing pipelines and tuning tooling.
• Instrument pipelines with metrics and support A/B experimentation loops.

Skills

Python

React

GCP

Docker

Kubernetes

REST APIs

Microservices

CI/CD

Testing

Monorepos

SQL/NoSQL databases

Education

Bachelor's degree in Computer Science or related field

Tools

Elasticsearch/OpenSearch

Pinecone/Weaviate/FAISS

GCP services

Terraform

Job description

Genuine Parts Company is seeking a Search Engineer (Software Engineer III) to design and build frontend and backend systems powering product discovery for industrial buyers. You will own the full lifecycle from prototyping to production-grade services on GCP.

You bring a strong Python and React foundation, with experience in search systems, vector databases, or Elasticsearch, and you will collaborate with ML engineers, architects, and product owners in an agile environment.