Staff Software Engineer, Content Discovery & Search

The Trade Desk; Ventura (CA); On-site; USD 137,000 - 252,000; Full time

Benefits offered by this job

Health, dental, vision insurance

401(k) match

Employee stock purchase plan

Paid holidays

Parental leave

Tuition reimbursement

Job summary

The Trade Desk in Ventura, CA is seeking a Staff Engineer to own end-to-end design and optimization of content discovery and search within our TV OS cloud services. You will collaborate with application teams to scale features, improve relevance, and deliver a high-quality user experience.

We value leadership, strong fundamentals, and ability to work from first principles. You will work with OpenSearch/Elasticsearch, Spark, and Databricks to build scalable data pipelines and personalize

Qualifications

• Experience with large-scale data-intensive systems and search-focused architecture.
• Ability to design end-to-end content discovery and personalization solutions.
• Proven track record of contributing to impactful software projects at scale.

Responsibilities

• Design, implement, and optimize content discovery and search within Ventura TV OS cloud services.
• Partner with application teams to scale features, ensure performance, relevancy, and scalable architecture.
• Build and manage high-performance, low-latency search systems and personalization pipelines.

Skills

Content discovery

Personalization

Distributed data processing

Search systems

OpenSearch

Elasticsearch

ML inference

Tools

OpenSearch

Elasticsearch

Apache Spark

Databricks

Job description

The Trade Desk in Ventura, CA is seeking a Staff Engineer to own end-to-end design and optimization of content discovery and search within our TV OS cloud services. You will collaborate with application teams to scale features, improve relevance, and deliver a high-quality user experience.

We value leadership, strong fundamentals, and ability to work from first principles. You will work with OpenSearch/Elasticsearch, Spark, and Databricks to build scalable data pipelines and personalize