Software Engineer

The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with over 3,000 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.

Job Title: Software Engineer II

Location: 50 West San Fernando Street, Suite 1800, San Jose, CA 95113

*Telecommuting permitted: work may be performed within normal commuting distance from The Trade Desk, Inc. office in San Jose, CA.

Job Duties: Design system architectures and application components for internal web applications and services, including front-end and backend structures, API contracts, and database models; ensure designs align with scalability, security, and compliance requirements. Implement and maintain internal web applications and services using languages such as C#, TypeScript, and React, and frameworks such as .NET; develop REST/GraphQL APIs, database schemas (SQL), and service integrations following secure coding and data governance practices. Build and operate CI/CD pipelines to automate build, test, and deployment processes for microservices and web applications, and monitor releases and resolve deployment issues. Develop and maintain automated tests, including unit, integration, and end-to-end test suites, ensure test coverage and reliability through continuous integration and participate in code reviews to uphold quality standards. Analyze operational and product data (e.g., usage, performance, error metrics) to assess the effectiveness of process improvements and automation initiatives, use insights to validate outcomes and inform future engineering priorities, and communicate findings to stakeholders. Collaborate directly with product and business stakeholders to gather requirements, translate ambiguous needs into technical designs, and deliver incremental, production-ready features. Own the full lifecycle of features and small projects, including design, implementation, documentation, rollout, monitoring, and iterative improvement based on user feedback. Build AI-assisted tools and automation in Python that use Large Language Models and Retrieval Augemented Generation to streamline routine tasks, improve employee productivity, and enhance internal tooling.