Search & Reliability Engineer

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Requirements:

• Relevant search experience. You're experienced with search technologies, particularly Elasticsearch and relevancy algorithms.
• Technical proficiency in Python. Flask is a plus!
• Familiarity with our core search-related technologies or equivalent services. These include data lakes (we use Snowflake), CI pipelines (we use Semaphore), and data orchestrators (we use Dagster).
• Demonstrated success working with containerized infrastructure (e.g. Docker).
• The capability to apply your knowledge of AWS. This includes ECS for container orchestration, DMS pipelines for data migration, and kinesis for data streams.
• Experience using infrastructure-as-code tools. We use Terraform.
• A good understanding of Linux and relational databases (e.g. MySQL).

Responsibilities:

• Owning and maintaining our search and ranking engine. This is built using Elasticsearch, Python, Flask, MySQL, and Terraform. It will be your job to ensure scalability, reliability, and efficiency while addressing bugs and performance bottlenecks.
• Collaborating with our Product and Engineering teams to help with implementing new search features, such as filters or query handling improvements.
• Identifying opportunities for incremental ranking and relevance improvements.
• Supporting infrastructure initiatives, ensuring reliability, optimizing CI/CD, scaling services, and resolving deployment and infrastructure-related issues.
• Participating in the on-call rotation, and responding to infrastructure and search-related incidents.