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[Remote] Staff/Senior Software Engineer, Programmatic Bidding

100% Remote Full-time Open now

Note: The job is a remote job and is open to candidates in USA. StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. They are seeking a Staff/Senior Software Engineer for their Programmatic Bidding team to design and optimize systems that process billions of ad auctions daily.

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

Skills

  • 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
  • Interest or experience in computational graphics, GPU programming, game development, game theory, or financial trading systems

Benefits

  • Highly competitive salary
  • Retirement/ 401K/ Pension Savings globally
  • Competitive Paid time off packages including birthday's off!
  • Access to a comprehensive mental health care program
  • Health benefits from day one of employment
  • Work from home reimbursements
  • Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
  • Robust training and onboarding program
  • Coverage and support of personal development initiatives (conferences, courses, books etc)
  • Access to StackAdapt programmatic courses and certifications to support continuous learning
  • An awesome parental leave program
  • A friendly, welcoming, and supportive culture
  • Our social and team events!

Company Overview

  • StackAdapt is a multi-channel programmatic advertising platform that helps maximize digital marketing efforts through data-driven solutions. It was founded in 2014, and is headquartered in Toronto, Ontario, CAN, with a workforce of 1001-5000 employees. Its website is https://www.stackadapt.com.
  • Company H1B Sponsorship

  • StackAdapt has a track record of offering H1B sponsorships, with 1 in 2026, 4 in 2025, 2 in 2024, 1 in 2023. Please note that this does not guarantee sponsorship for this specific role.
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