We are seeking talented Senior Software Engineers to join our Engineering team, supporting Search Engineering efforts. In this role, you will play a key part in designing and optimizing data infrastructure, enabling real-time and batch data processing to enhance search retrieval, ranking, and product experiences. You will work closely with BE and ML engineers, data scientists, and product teams to build robust, scalable, and high-performance data systems that power personalized user experiences.
What the Candidate Will Need / Bonus Points
- What the Candidate Will Do -
Develop serving infrastructure to enhance system latency, throughput, and reliability
Enhance search relevance by improving indexing, retrieval, and ranking mechanisms.
Develop and optimize search algorithms, ranking models, and query processing techniques.
Implement and maintain scalable search pipelines and distributed indexing systems.
Work with machine learning engineers to integrate AI-driven search ranking and personalization models.
Analyze search performance metrics and run A/B experiments to measure improvements.
Optimize latency, throughput, and scalability of search infrastructure.
Contribute to system design and architecture decisions to improve search quality and efficiency.
Write clean, efficient, and maintainable code in Python, Java, or Go.
Collaborate with cross-functional teams to enhance search relevance and user experience.
Monitor and troubleshoot search-related production issues to ensure system reliability.
- Basic Qualifications -
5+ years of experience in software engineering
Expertise in big data technologies such as Apache Spark, Kafka, Flink, Airflow, Presto, or Snowflake.
Strong experience with search and recommendation systems, working with Elasticsearch, OpenSearch, Solr, or similar technologies.
Proficiency in distributed data processing frameworks and real-time streaming architectures.
Deep understanding of data modeling, ETL pipelines, and data warehousing principles.
Strong programming skills in Golan, Python, Scala, or Java.
Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure tools.
Ability to work on high-scale distributed systems and troubleshoot performance bottlenecks.
Strong problem-solving and analytical skills, with a passion for data-driven decision-making.
- Preferred Qualifications -
Hands-on experience with search technologies such as Elasticsearch, OpenSearch, Solr, or Vespa.
* Familiarity with search retrieval, ranking techniques, query understanding, and text processing.
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