How did you hear about us?

How did you hear about us?

Role overview

We’re looking for a full-stack engineer who thrives on building intuitive, performant interfaces and backend systems that scale. You’ll work closely with product, design, and AI teams to create real-time visibility tools used by leading brands.

Responsibilities

  • Architect and maintain scalable, cloud-native backend systems

  • Lead infrastructure design for our AI analytics and visibility engine

  • Optimize for performance, uptime, and future scalability

  • Collaborate with cross-functional teams to solve high-impact technical challenges

  • Contribute to technical direction, best practices, and systems thinking across the org

Required qualifications

  • 6+ years building backend systems in a cloud environment

  • Proven expertise with:

    1. Cloud platforms (AWS, GCP, or Azure)

    2. Microservices architecture

    3. SQL and NoSQL databases

    4. System performance tuning

    5. Kubernetes, Docker, and containerized infrastructure

  • Experience with large-scale data systems or LLM pipelines is a plus

  • You’re a problem-solver with a systems mindset — and you care about building what lastsWhat we offer

How did you hear about us?

Role overview

We’re looking for a full-stack engineer who thrives on building intuitive, performant interfaces and backend systems that scale. You’ll work closely with product, design, and AI teams to create real-time visibility tools used by leading brands.

Responsibilities

  • Architect and maintain scalable, cloud-native backend systems

  • Lead infrastructure design for our AI analytics and visibility engine

  • Optimize for performance, uptime, and future scalability

  • Collaborate with cross-functional teams to solve high-impact technical challenges

  • Contribute to technical direction, best practices, and systems thinking across the org

Required qualifications

  • 6+ years building backend systems in a cloud environment

  • Proven expertise with:

    1. Cloud platforms (AWS, GCP, or Azure)

    2. Microservices architecture

    3. SQL and NoSQL databases

    4. System performance tuning

    5. Kubernetes, Docker, and containerized infrastructure

  • Experience with large-scale data systems or LLM pipelines is a plus

  • You’re a problem-solver with a systems mindset — and you care about building what lastsWhat we offer