Senior Fullstack Engineer - Retail Media & AdTech (Remote)

Hidden Jobs

United States

Hybrid

USD 102,000 - 148,000

Full time

4 days ago
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Benefits offered by this job

Remote-friendly setup
Cologne base collaboration

Job summary

Hidden Jobs is seeking a senior fullstack engineer to design and build scalable retail media and adtech services. The role sits in a Cologne-based engineering group and supports the entire customer journey with a strong emphasis on performance and reliability.

You will mentor peers, contribute to architectural decisions, and work across product and data teams to deliver campaign management and measurement capabilities in a remote-friendly environment.

Qualifications

  • Senior fullstack engineer with strong frontend depth and several years of experience.
  • Hands-on background in retail media, adtech, or high-traffic environments.
  • Proficiency with modern web frameworks and backend service development.
  • Understanding of campaign delivery, audience targeting, and ad measurement.
  • Strong CI/CD, observability, and code quality practices.
  • Senior IC role within an expert engineering career track.

Responsibilities

  • Design and develop fullstack services and frontend applications for retail media and adtech.
  • Build advertising experiences integrated into the customer journey with focus on performance and reliability.
  • Collaborate with product, data, and platform teams on campaign management and targeting.
  • Contribute to scalable, low-latency, maintainable adtech architecture.
  • Mentor engineers and uphold quality through code reviews and testing.

Skills

Senior fullstack engineer
Frontend depth
Web frameworks
Backend service development
CI/CD
Observability
Code quality

Job description

Hidden Jobs is seeking a senior fullstack engineer to design and build scalable retail media and adtech services. The role sits in a Cologne-based engineering group and supports the entire customer journey with a strong emphasis on performance and reliability.

You will mentor peers, contribute to architectural decisions, and work across product and data teams to deliver campaign management and measurement capabilities in a remote-friendly environment.

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