Staff Software Engineer
About The Position
The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more. Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly. The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you.
Requirements
- Bachelor's degree (U.S. or foreign equivalent) in Information Technology, Computer Engineering or related field and five (5) years of experience in the job offered or related role.
- Three (3) years of experience with: software development in Python, Java, or Scala.
- Three (3) years of experience with: building and deploying services on cloud platforms, including AWS, GCP, or Azure.
- Three (3) years of experience with: building and operating large-scale distributed systems in production.
- Two (2) years of experience with: designing and building data pipelines using distributed data processing frameworks, including Apache Spark.
- Two (2) years of experience with: designing and implementing RESTful APIs and backend services.
- Two (2) years of experience with: working with relational databases and NoSQL databases.
- Two (2) years of experience with: data modeling and query performance optimization for large-scale datasets.
Responsibilities
- Design, develop, and maintain scalable backend data pipelines for processing large-scale content catalog and metadata using distributed data processing frameworks such as Apache Spark.
- Develop and optimize high-throughput data processing workflows capable of ingesting, transforming, and aggregating large-scale datasets with optimal performance and reliability.
- Design and implement secure, scalable RESTful APIs to expose data services to internal platforms and downstream consumers.
- Architect and build data integration solutions that connect heterogeneous data sources and destinations across the platform, ensuring data consistency and availability.
- Collaborate with data scientists and machine learning engineers to integrate models and algorithms into production environments, including supporting feature engineering and model-serving pipelines.
- Implement monitoring, alerting, and observability frameworks for data pipelines to ensure reliability, performance, and high availability at scale.
- Optimize data storage and retrieval mechanisms, including data modeling, indexing strategies, and query performance tuning across relational databases, NoSQL stores, and cloud-based data warehouses.
- Contribute to architectural decisions for backend and data infrastructure, partner with cross-functional stakeholders to translate business requirements into technical solutions, and apply data engineering best practices including data quality validation, error handling, and recovery mechanisms.
Benefits
- Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents
- Retirement benefits such as a 401k plan and company match
- Short and long-term disability coverage
- Basic life insurance
- Well-being benefits
- Reimbursement for certain tuition expenses
- Parental leave
- Sick time of 1 hour per 30 hours worked
- Vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter
- Around 13 paid holidays per year
- Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
