Software Engineer II

The Trade Desk•San Francisco, CA

11d•Onsite

About The Position

Design, develop, and maintain backend services and system components using object oriented languages such as Java, Scala, or Python, following internal coding standards and design guidelines. Design and implement data processing workflows using Apache Spark or other large-scale distributed data processing frameworks to support business analytics and product requirements. Develop high-performance and scalable data access layers, including implementing algorithms for efficient querying, caching strategies, and low-latency data retrieval. Implement and maintain cloud-native services deployed on container orchestration platforms (e.g. Kubernetes, ECS) and integrate with cloud infrastructure components (e.g. IAM policies, load balancers, service meshes). Design and validate API contracts, service interfaces, and cross-service communication patterns, including REST, RPC, or asynchronous messaging. Create and maintain CI/CD pipelines (e.g. Gitlab CI), including automated build processes, test execution, and controlled deployment workflows to ensure reliable software delivery. Instrument applications for observability by implementing metrics, structured logs, or distributed tracing to improve system transparency and operational insight. Investigate and resolve software defects or performance issues by analyzing logs, system metrics, and profiling results, collaborating with relevant teams as needed. Collaborate with product and engineering teams to convert business and functional requirements into technical specifications and system designs with clear performance and reliability goals.

Requirements

Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering or related field.
Position requires working knowledge of the following skills gained through coursework or experience: at least one programming language, including Java, Scala, or Python
container orchestration platforms, including Kubernetes, and containerization technologies, including Docker
designing and validating API contracts and service interfaces, including REST, RPC, or asynchronous messaging patterns
implementing CI/CD workflows, including Gitlab CI, and automate builds, testing and controlled deployments
observability practices, including metrics, structured logging, or distributed tracing instrumentation
diagnosing and debugging software issues using logs, system metrics, or profiling tools.

Responsibilities

Design, develop, and maintain backend services and system components using object oriented languages such as Java, Scala, or Python, following internal coding standards and design guidelines.
Design and implement data processing workflows using Apache Spark or other large-scale distributed data processing frameworks to support business analytics and product requirements.
Develop high-performance and scalable data access layers, including implementing algorithms for efficient querying, caching strategies, and low-latency data retrieval.
Implement and maintain cloud-native services deployed on container orchestration platforms (e.g. Kubernetes, ECS) and integrate with cloud infrastructure components (e.g. IAM policies, load balancers, service meshes).
Design and validate API contracts, service interfaces, and cross-service communication patterns, including REST, RPC, or asynchronous messaging.
Create and maintain CI/CD pipelines (e.g. Gitlab CI), including automated build processes, test execution, and controlled deployment workflows to ensure reliable software delivery.
Instrument applications for observability by implementing metrics, structured logs, or distributed tracing to improve system transparency and operational insight.
Investigate and resolve software defects or performance issues by analyzing logs, system metrics, and profiling results, collaborating with relevant teams as needed.
Collaborate with product and engineering teams to convert business and functional requirements into technical specifications and system designs with clear performance and reliability goals.

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.