Software Engineer, Product (Remote)

Happy Returns
United States
15 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Compensation
$116,000.0 - $140,000.0
Working hours
Regular working hours
Job source

Tech stack

Clean Code Principles Application Programming Interfaces (APIs) Amazon Web Services Code Review Databases Extract Transform Load (ETL) Software Debugging Distributed Systems Python (Programming Language) PostgreSQL Performance Tuning System Software
+12 more
Software Technical Review Data Storage Technologies Reliability of Systems Backend Event Driven Architecture Kubernetes Integration Frameworks Stream Processing Data Pipelines Docker Web Api Golang

Job description

As a Platform Software Engineer, you’ll build and operate backend services and shared platform systems that power Happy Returns’ products and internal workflows. You’ll focus on designing and maintaining reliable APIs, data-access layers, and service integrations that improve system reliability, performance, and the developer experience across the company.

Your day to day

  • Take ownership of the successful implementation and delivery of new features and projects using a variety of languages and frameworks such as Golang, Python, and PostgreSQL
  • Build and maintain data pipelines and tooling powering analytics, operational workflows, and product capabilities
  • Actively participate in architecture discussions and technical design reviews to ensure the scalability, reliability, and security of the Happy Returns system
  • Enforce clean code standards and excellent coding practices by conducting thoughtful code reviews and upholding a commitment to testing and maintainability
  • Learn from senior engineers, contribute to knowledge-sharing sessions, and continuously expand your technical and problem-solving skills as you grow into more complex projects
  • Partner with Product, Data, and other engineering teams to translate their needs into technical solutions
  • Use AI-assisted development tools to accelerate coding, debugging, testing, and documentation workflows
  • Support the health and stability of our systems through thoughtful testing monitoring, and debugging

Requirements

  • 1-3 years of experience building backend APIs or services
  • Familiarity with databases and data storage technologies
  • The ability to efficiently ship clean, maintainable, and well-tested code
  • A strong interest in joining a highly collaborative environment and working daily with stakeholders across the organization
  • Curiosity, adaptability and a readiness to explore new technologies, and introduce tools that make the team more effective.
  • A self-starter mindset with the ability to learn independently and thrive in a fully remote work environment

Bonus points if you have

  • Expertise in multiple server-side languages such as Go or Python
  • Experience with Docker, Kubernetes, and AWS
  • Experience with data processing frameworks, ETL/ELT pipelines, or streaming systems.
  • Exposure to performance optimization, distributed systems fundamentals, or event-driven architectures
  • Interest in e-commerce, logistics, developer experience, or building tooling for other engineers

Benefits & conditions

Compensation for this position will be determined based on a variety of factors, including internal equity, geographic location, and the candidate’s job-related knowledge, skills, and experience. In addition to base pay, this position may be eligible for a bonus and a comprehensive benefits package, which includes medical, financial, and other benefits, depending on the level and position offered.

About the company

At Happy Returns, we’re transforming the most frustrating part of online shopping - returns - into a fast, easy, and delightful experience. Our Platform team builds and maintains the core data platform to support our business, as well as internal tools to support our engineering efforts. We design reliable, scalable services that enable product teams to ship quickly, data teams to operate efficiently, and retailers and shoppers to have seamless experiences.

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