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iSpot

Software Development Engineer 1

Bellevue, WAFrom $136.1kentryAdded today

About this role

iSpot.tv seeks an AI-native Software Development Engineer to join their Bellevue team and drive scalable solutions across big data infrastructure. You'll own technical domains, design extensible systems handling massive AWS workloads, and lead AI adoption across the engineering organization while maintaining high quality standards.

What you'll do

  • Design and own entire technical domains with focus on testability, extensibility, and cross-team usability
  • Develop architecture for automation systems and CI/CD pipelines while implementing secure deployment strategies
  • Provide prescriptive code reviews and contribute to company-wide engineering standards and style guidelines
  • Actively explore and integrate AI technologies to enhance team productivity and solve complex problems
  • Lead team adoption of AI tools through pairing sessions, demos, and technical documentation
  • Conduct root cause analysis and implement data-driven measurement solutions for assigned domains

What they're looking for

  • Large-scale system design and architecture
  • AWS infrastructure and cloud-native development
  • CI/CD pipeline design and implementation
  • AI/machine learning integration and adoption
  • Data handling and processing at scale
  • Code review and technical mentorship
  • Complex debugging and problem-solving
  • Secure deployment and operational excellence

Benefits

  • Equity compensation in a Seattle-based startup
  • Competitive salary package
  • Standard benefits package
  • Opportunity to work on mission-critical big data systems
  • Leadership role in defining engineering culture and standards
  • Chance to pioneer AI-driven development practices
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iSpot

iSpot builds AI-driven measurement and audience attribution solutions that process large-scale data pipelines for media publishers. The company is hiring software engineers to own end-to-end features and design production services in cloud-scale environments.

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Likely interview questions

  • Describe a time you owned a complex technical domain end-to-end—how did you ensure it was maintainable and extensible for other teams?
  • How do you approach integrating AI tools into your development workflow, and how would you encourage teammates to adopt them?
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