Job Title: Senior Software Engineer
Location: 400 Spectrum Center Drive, Suite 550, Irvine, CA 92618
*Telecommuting permitted: work may be performed within normal commuting distance from The Trade Desk, Inc. office in Irvine, CA.
Job Duties: 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.
Salary: $184,558 - $249,700 / year
Job 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. Must have 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. Must have 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.
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