Senior Software Engineer

The Trade Desk•Irvine, CA

2d•Hybrid

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 Computer Science, Information Systems or related field and five (5) years of experience in the job offered or related role.
Five (5) years of experience with: Python, Scala or other high-level programming languages; SQL and relational database systems; working with Agile software development environments; participating in the full lifecycle of data products, including design, testing, validation, and production deployment; and version control systems.
Three (3) years of experience with: designing, developing, and maintaining REST APIs for data and software systems; implementing continuous integration and continuous deployment (CI/CD) practices for data and software systems; distributed computing frameworks including Spark; designing and implementing scalable algorithms, including graph-based approaches; columnar database systems for data analytics; cloud computing platforms and tools; data analysis and visualization for large-scale (terabytes or larger) datasets; workflow orchestration frameworks; and developing and maintaining data and machine learning pipelines.

Responsibilities

Architect and optimize large-scale distributed systems that handle petabyte-scale data across cloud and on-premise data centers, ensuring high availability and performance.
Design and develop robust data and ML pipelines with strong emphasis on automation, scalability, data governance, quality assurance, and privacy compliance.
Lead the end-to-end lifecycle of data products, including design, development, validation, and production deployment to meet client and business needs.
Leverage data-driven insights to enhance large-scale algorithmic systems, improving operational efficiency and accuracy through analytical experimentation.
Develop and apply advanced graph algorithms to solve complex real-world challenges.
Collaborate with cross functional teams to align technical design and implementation with product strategy and long-term roadmap goals.
Define and review execution strategies that integrate user data, market intelligence, and system feedback to guide product and algorithmic improvements.
Mentor and guide junior engineers and interns, defining technical project scopes, reviewing deliverables, and fostering their growth through structured feedback and leadership.

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