StackAdapt is a leading technology company that empowers marketers to reach, engage, and convert audiences with precision. They are seeking a Staff/Senior Software Engineer to lead the Programmatic Bidding team in designing and optimizing systems that handle billions of ad auctions daily, ensuring efficient and strategic bidding aligned with customer goals.
Responsibilities:
- Lead and collaborate with a team of engineers to design, implement, and optimize our programmatic bidding systems
- Apply analytical, data-driven, and statistical methodologies to problem solving. Continuously optimizing programmatic performance through experimentation and quantitative analysis
- Collaborate with ML engineers to architect and to build complex, innovative solutions that pushes the boundaries of programmatic advertising capabilities, and drive impactful business results
- Rigorously optimize large-scale distributed systems capable of handling billions of requests per second with ms-level latency, ensuring high throughput and infrastructure performance under demanding workloads
- Partner with Product teams to ship innovative features that advance the company's vision, and drive competitive advantage
- Embody the team mission. Be adaptable, and ground development efforts in pragmatic, results-oriented decision making
- Foster operational excellence across engineering and backend teams by cultivating a culture of trust, transparency and technical excellence
- Clearly articulate development ideas and hypotheses, openly embrace technical feedback to support collaborative innovation and continuous improvement
Requirements:
- 3+ years of experience in AdTech or MarTech, ideally working on high-scale or performance-critical systems
- Advanced programming expertise in Go (or strong proficiency in comparable languages such as C++, Java, Scala, or Rust). We value engineers who can deliver high-performance applications regardless of language
- Experience applying machine learning, mathematics, and numerical methods—including deploying large-scale models and real-time inference systems in production. (This is an applied engineering role, not research-focused.)
- 5+ years of experience in software development, particularly building high-throughput, low-latency distributed systems and architecting scalable microservices or data pipelines in a fast-growing tech environment
- Hands-on experience with multiple database systems, with a solid grasp of their trade-offs and performance considerations
- Strong foundation in computer science fundamentals, including data structures and algorithms
- Up-to-date knowledge of modern technologies, tools, and frameworks, with curiosity to continuously learn and evolve
- Bonus: Interest or experience in computational graphics, GPU programming, game development, game theory, or financial trading systems