Design the hybrid search infrastructure.
Embedding model selection and fine-tuning.
Architect systems that achieve millisecond-level latency.
Collaborate with Product Managers and Data Scientists to implement search relevance algorithms.
Contribute to Rebuy's engineering culture by establishing best practices.
Set the standards for how we build search.
Mentor senior developers and provide guidance to the back-end development team.

Requirements

Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field; Master's degree strongly preferred.
8+ years of hands-on professional back-end software engineering experience with a proven track record of delivering complex projects.
Deep Elasticsearch expertise.
Vector search & embeddings experience.
Expert proficiency in Golang (Go) and other relevant back-end languages/environments.
ML in production experience.
Cloud computing platforms experience (AWS, GCP, or Azure).
Strong knowledge of SQL and NoSQL databases.
Proven experience designing and implementing scalable microservices.
Understanding of data streaming technologies for real-time indexing.
Prior work with A/B testing frameworks for search relevance and feature rollouts.

Benefits

100% free health, dental, and insurance for you and your family.
Flexible vacation policy, generous holiday schedule, parental leave and sick policy.
401(k) retirement plans and for our Canadian employees we offer a TFSA and RRSP retirement plans.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ElasticsearchGolangSQLNoSQLmicroservicesmachine learningvector searchembeddingsdata streamingA/B testing

Soft Skills

collaborationmentoringguidanceestablishing best practices

Certifications

Bachelor's degreeMaster's degree