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Director, Demand Side Platform (DSP) Engineering

2 weeks, 6 days ago
United States
Full-time
Executive
Backend Engineer
Software Development
AWS Docker GCP Go Kubernetes Machine Learning
Apply Now
The TARA Group

The TARA Group

The TARA Group offers full-service solutions in public affairs and advocacy campaigns, leveraging data-driven solutions and expertise.

Media
11-50
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Description

  • Design and architect scalable, high-performance DSP systems for real-time bidding and campaign management.
  • Optimize bidding algorithms and strategies to improve campaign performance and ROI.
  • Lead development of robust data pipelines for processing large volumes of advertising data.
  • Implement fraud detection and brand safety features.
  • Architect and develop high-throughput, low-latency Go-based backend systems for real-time bidding and data processing.
  • Design and implement APIs for integration with ad exchanges, data providers, and third-party systems.
  • Lead development of campaign management, reporting, and analytics interfaces.
  • Design and implement data visualization tools that surface actionable campaign insights.
  • Mentor DSP and software engineers and foster a collaborative, innovative team environment.
  • Collaborate with product managers, data scientists, sales, marketing, and other stakeholders to define requirements and support technical initiatives.

Requirements

  • 20+ years of software development experience focused on high-performance backend systems.
  • Extensive experience with Go (Golang) backend development and scalable, reliable systems.
  • Strong UI development skills with experience in modern UI frameworks.
  • Deep understanding of the programmatic advertising ecosystem, including RTB, DSPs, SSPs, and ad exchanges.
  • Experience with real-time bidding algorithms and strategies.
  • Experience with cloud platforms such as AWS or Google Cloud.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Strong problem-solving, analytical, and communication skills.
  • Preferred: experience with specific DSP platforms and technologies.
  • Preferred: knowledge of data science and machine learning techniques for ad optimization.
  • Preferred: experience with large-scale data processing and analysis.
  • Preferred: experience with Docker and Kubernetes.

Benefits

  • Annual salary of $145,000.
  • 401(k) with generous company matching.
  • 100% remote work opportunity.
  • Medical coverage including health, dental, vision, life, cancer, and long-term disability insurance for employees and dependents.
  • 23 days of paid time off per year.
  • 10 weeks of fully paid parental leave, including adoption coverage.
  • Inclusive hiring and reasonable accommodations during the application and interview process.

Interested in this position?

Apply directly on the company website

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