The Trade Desk
Senior Software Engineer - Custom Solutions
The Trade Desk, San Jose, California, United States, 95199
What we do
At The Trade Desk, we design and build custom solutions that extend our platform's capabilities, with a focus on quality, reusability, and customer success. From client‑facing applications and backend services to data science models, workflow automation, reports, and large‑scale data workflows, we deliver end‑to‑end systems that drive advanced campaign optimization, actionable analytics, and robust data operations at global scale. We are a small, high‑impact team that strategically enables advertisers to unlock advanced capabilities, solving unique partner needs and shaping technical patterns that benefit the wider platform. Whether it's enabling advanced bidding strategies, streamlining data pipelines, or creating bespoke reporting experiences, we build with quality and scale in mind. We value a culture of collaboration, innovation, and learning. Here, engineers invent and simplify as they extend platform capabilities, striking the right balance between reusability and customization while partnering closely with clients and cross‑functional teams.
What you’ll do This role is ideal for someone passionate about building innovative, data‑driven solutions in the programmatic advertising space. You thrive in a high‑scale, data‑intensive environment where client needs are diverse, and you will play a key role in designing reusable patterns and standardized components that accelerate future solution delivery.
We’re looking for a Senior Software Engineer who combines deep software engineering expertise with strong statistical and data‑analysis skills to lead the development of data‑driven systems and solutions. This role blends software engineering excellence, machine learning development, and production‑grade MLOps—ideal for someone who enjoys bridging the gap between model experimentation and deployment at scale. You’ll work closely with data scientists, ML engineers, and product teams to develop ML pipelines, optimize data workflows, automate deployment processes, and ensure that machine learning models deliver real‑world value reliably and efficiently.
Drive architecture and design for end‑to‑end systems within Custom Solutions, influencing platform patterns and best practices across teams
Develop custom APIs and backend services that integrate seamlessly with the core platform
Optimize data storage, retrieval, and API performance for global‑scale programmatic workloads
Apply best practices in software engineering across the stack for scalability, maintainability, and resilience
Create and maintain data processing workflows and automation solutions to support large‑scale advertiser operations
Collaborate with data scientists to integrate productionized models and algorithms into production‑ready systems for advanced bidding and analytics
Design and optimize large‑scale data pipelines supporting ML workflows
Establish and enforce Engineering and MLOps best practices across our teams
Implement monitoring, logging, and observability across frontend and backend systems to maintain reliability and performance
Identify opportunities to standardize patterns to accelerate future solution delivery
Who you are Our culture is much deeper than just having fun together (though we do that well, too). We take pride in our engineers being trust‑builders, generous givers, scrappy problem‑solvers, and gritty pursuers of excellence. You do not have to meet all the requirements below, but we believe that people who meet most of them will have a higher likelihood of succeeding in this role:
Deep experience designing and building large‑scale, distributed systems across client‑facing applications, backend services, and data workflows
Proven ability to own architecture and technical direction for complex, end‑to‑end systems
Strong knowledge of data processing frameworks and workflows, with experience scaling systems for data‑intensive workloads
Strong experience developing, testing, and optimizing predictive models and statistical algorithms
Expertise in big data processing and analytics frameworks—and tools such as Apache Spark, Kafka, Airflow, Hadoop, Snowflake, and distributed data storage systems (S3, BigQuery, Redshift, or Delta Lake)
Proficiency in one or more programming languages such as Python, Java, C#, or Scala
Experience deploying ML frameworks (TensorFlow, PyTorch) for large‑scale data pipelines
Strong communication skills for aligning technical decisions with business priorities across technical and non‑technical stakeholders
7+ years of software development experience, with significant experience building and scaling production systems
Solid foundation in statistics, optimization and experience applying statistical methods to real‑world data
Bachelor's or Master's degree in Computer Science, Engineering, or equivalent experience
Compensation and Benefits CO, CA, IL, NY, WA, and Washington DC residents only:
In accordance with CO, CA, IL, NY, WA, and Washington DC law, the range provided is The Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non‑discriminatory factors such as experience, knowledge, skills, abilities, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock‑based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as sales‑based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401(k) 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 through the first year and 160 hours thereafter, and 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.
The Trade Desk also offers a competitive benefits package.
Click here
to learn more.
Note:
Interns are not eligible for variable incentive awards such as stock‑based compensation, retirement plan, vacation, tuition reimbursement or parental leave.
Equal Opportunity Employer As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive.
Accommodation Request Please reach out to us at
ataccommodations@thetradedesk.com
to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process. When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.
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What you’ll do This role is ideal for someone passionate about building innovative, data‑driven solutions in the programmatic advertising space. You thrive in a high‑scale, data‑intensive environment where client needs are diverse, and you will play a key role in designing reusable patterns and standardized components that accelerate future solution delivery.
We’re looking for a Senior Software Engineer who combines deep software engineering expertise with strong statistical and data‑analysis skills to lead the development of data‑driven systems and solutions. This role blends software engineering excellence, machine learning development, and production‑grade MLOps—ideal for someone who enjoys bridging the gap between model experimentation and deployment at scale. You’ll work closely with data scientists, ML engineers, and product teams to develop ML pipelines, optimize data workflows, automate deployment processes, and ensure that machine learning models deliver real‑world value reliably and efficiently.
Drive architecture and design for end‑to‑end systems within Custom Solutions, influencing platform patterns and best practices across teams
Develop custom APIs and backend services that integrate seamlessly with the core platform
Optimize data storage, retrieval, and API performance for global‑scale programmatic workloads
Apply best practices in software engineering across the stack for scalability, maintainability, and resilience
Create and maintain data processing workflows and automation solutions to support large‑scale advertiser operations
Collaborate with data scientists to integrate productionized models and algorithms into production‑ready systems for advanced bidding and analytics
Design and optimize large‑scale data pipelines supporting ML workflows
Establish and enforce Engineering and MLOps best practices across our teams
Implement monitoring, logging, and observability across frontend and backend systems to maintain reliability and performance
Identify opportunities to standardize patterns to accelerate future solution delivery
Who you are Our culture is much deeper than just having fun together (though we do that well, too). We take pride in our engineers being trust‑builders, generous givers, scrappy problem‑solvers, and gritty pursuers of excellence. You do not have to meet all the requirements below, but we believe that people who meet most of them will have a higher likelihood of succeeding in this role:
Deep experience designing and building large‑scale, distributed systems across client‑facing applications, backend services, and data workflows
Proven ability to own architecture and technical direction for complex, end‑to‑end systems
Strong knowledge of data processing frameworks and workflows, with experience scaling systems for data‑intensive workloads
Strong experience developing, testing, and optimizing predictive models and statistical algorithms
Expertise in big data processing and analytics frameworks—and tools such as Apache Spark, Kafka, Airflow, Hadoop, Snowflake, and distributed data storage systems (S3, BigQuery, Redshift, or Delta Lake)
Proficiency in one or more programming languages such as Python, Java, C#, or Scala
Experience deploying ML frameworks (TensorFlow, PyTorch) for large‑scale data pipelines
Strong communication skills for aligning technical decisions with business priorities across technical and non‑technical stakeholders
7+ years of software development experience, with significant experience building and scaling production systems
Solid foundation in statistics, optimization and experience applying statistical methods to real‑world data
Bachelor's or Master's degree in Computer Science, Engineering, or equivalent experience
Compensation and Benefits CO, CA, IL, NY, WA, and Washington DC residents only:
In accordance with CO, CA, IL, NY, WA, and Washington DC law, the range provided is The Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non‑discriminatory factors such as experience, knowledge, skills, abilities, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock‑based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as sales‑based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401(k) 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 through the first year and 160 hours thereafter, and 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.
The Trade Desk also offers a competitive benefits package.
Click here
to learn more.
Note:
Interns are not eligible for variable incentive awards such as stock‑based compensation, retirement plan, vacation, tuition reimbursement or parental leave.
Equal Opportunity Employer As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive.
Accommodation Request Please reach out to us at
ataccommodations@thetradedesk.com
to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process. When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.
#J-18808-Ljbffr