Remote Platform Engineer – Backend & Data

Happy Returns LLC

Georgia

Remote

USD 110,000 - 140,000

Full time

7 days ago
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Job summary

Happy Returns LLC is hiring a Platform Software Engineer to build and operate backend services powering our data platform and internal tooling. You’ll focus on reliable APIs, data-access layers, and service integrations to improve performance and developer experience.

Day-to-day work includes delivering new features using Go, Python, and PostgreSQL, plus building data pipelines for analytics and operations.

Qualifications

  • 1-3 years of experience building backend APIs or services.
  • Familiarity with databases and data storage technologies.
  • Ability to ship clean, maintainable, and well-tested code.
  • Strong collaboration with stakeholders across the organization.
  • Curiosity and adaptability to explore new technologies.
  • Self-starter mindset with ability to learn independently in a fully remote setting.

Responsibilities

  • Own successful implementation and delivery of new backend features and projects.
  • Design and maintain APIs, data-access layers, and service integrations.
  • Build and maintain data pipelines powering analytics and operations.
  • Participate in architecture discussions and design reviews for scalability and reliability.
  • Uphold clean code standards with thorough testing and reviews.
  • Collaborate with Product, Data, and engineering teams to translate needs into solutions.
  • Leverage AI-assisted development tools to speed coding and debugging.
  • Monitor and debug systems to ensure health and stability.

Skills

Go
Python
PostgreSQL
Backend APIs
Testing

Tools

Docker
Kubernetes
AWS

Job description

Happy Returns LLC is hiring a Platform Software Engineer to build and operate backend services powering our data platform and internal tooling. You’ll focus on reliable APIs, data-access layers, and service integrations to improve performance and developer experience.

Day-to-day work includes delivering new features using Go, Python, and PostgreSQL, plus building data pipelines for analytics and operations.

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