Backend Engineer

6 days ago

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PartsTech

WebsiteLinkedInAll Job Openings

Automotive Aftermarket • E-Commerce • Data Technology • User Experience • AutoTech

51 - 200 employees

🚗 Transport

☁️ SaaS

🤝 B2B

Description

• PartsTech creates automotive e-commerce technology helping repair shops and auto part distributors run their businesses effectively • A backend software engineer for Search focused on the API, algorithms, and cloud backend • Develop and maintain the backend search engine and implement backend features like indexing and ranking algorithms • Collaborate with data scientists to experiment with and deploy ranking signals or personalization

Requirements

• Bachelor's Degree in Computer Science, Software Engineering • Advanced Degree (Master's or PhD) in Computer Science, Information Retrieval, Natural Language Processing, or Machine Learning is beneficial • Ideally proficient in Kotlin, JVM, Java Class Library for backend development • Other backend development experience such with as Node.js or Python will be considered • Familiarity with Go or Rust for high-performance requirements might be a plus • Strong experience with OpenSearch, ElasticSearch, and possibly Solr, or Algolia for indexing and retrieving search data • Familiarity with query optimization, indexing strategies, and search relevance tuning • Knowledge of vector search and embedding-based search for personalized or semantic search is beneficial • Proficiency with databases (both SQL and NoSQL), such as PostgreSQL, MySQL, MongoDB, or DynamoDB • Knowledge of caching solutions like Redis or Memcached to improve search response times • Understanding of data pipelines and ETL processes to ingest and process product or user data in near-real-time • Experience developing and implementing search algorithms for ranking, relevance scoring, and personalization • Knowledge of machine learning for search (e.g., natural language processing, embeddings) is advantageous, especially if working with personalized or semantic search features • Ability to design, develop, and optimize RESTful APIs or GraphQL for handling search requests and responses • Experience with microservices architecture and the ability to break down the search service into scalable, manageable components • Strong focus on performance and scalability to handle large numbers of search queries and rapid response times • Proficiency in monitoring tools (e.g., Prometheus, Grafana) and log analysis to identify performance bottlenecks • Understanding of API security best practices, such as authentication, rate-limiting, and data protection • Experience with distributed systems to ensure high availability and fault tolerance of the search engine • Proficient in Git for version control • Familiar with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI) to automate testing and deployment pipelines