Platform Software Engineer (Remote)

Happy Returns
Atlanta, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 155K

Job location

Remote
Atlanta, United States of America

Tech stack

Amazon Web Services (AWS)
Google BigQuery
Cloud Computing
Code Review
Databases
Data Infrastructure
ETL
Software Debugging
Programming Tools
Distributed Systems
Amazon DynamoDB
Python
PostgreSQL
MySQL
Query Optimization
DataOps
Software Engineering
Data Streaming
System Software
Snowflake
Reliability of Systems
Backend
Event Driven Architecture
Containerization
Semi-structured Data
Core Data
Kubernetes
Data Management
Data Pipelines
Docker
Redshift
Databricks
Go

Job description

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.

As a Platform Software Engineer, you'll work on backend systems and data infrastructure that power analytics, operational workflows, and product capabilities. This role is best suited for engineers who are comfortable owning features end-to-end and have hands-on experience working with databases, data pipelines, and data platforms.

This is a remote position within the United States.

Your day to day

  • Design, build, and maintain backend services and data pipelines using technologies such as Go, Python, and PostgreSQL
  • Own the implementation of well-scoped projects from design through deployment and monitoring
  • Work with structured and semi-structured data to support analytics, product features, and internal tools
  • Participate in system design discussions, contributing to decisions around data modeling, system boundaries, and scalability
  • Write clean, maintainable, and well-tested code, and provide thoughtful code reviews for peers
  • Debug production issues and improve system reliability through monitoring and observability improvements
  • Collaborate closely with Product, Data, and other engineering teams to translate business needs into technical solutions

Requirements

Do you have experience in System troubleshooting?, * 3-5 years of professional experience in backend or data-oriented software engineering roles

  • 2-3 years of experience working with databases (e.g., PostgreSQL, MySQL, DynamoDB) including schema design and query optimization
  • Experience building or maintaining data pipelines or data processing workflows (ETL/ELT, batch or streaming)
  • Proficiency in at least one backend programming language such as Go or Python
  • Ability to take a problem from loosely defined requirements to a working, production-ready solution
  • Comfort debugging issues across services and reasoning about system behavior
  • Strong communication skills and ability to collaborate across teams

Bonus points if you have

  • Experience with cloud infrastructure (AWS) and containerization (Docker, Kubernetes)
  • Familiarity with modern data platforms and tooling (e.g., dbt, Redshift, BigQuery, Snowflake, Databricks)
  • Experience with event-driven architectures or distributed systems
  • Exposure to developer tooling, internal platforms, or infrastructure systems
  • Experience improving performance or reliability of production systems

Benefits & conditions

(part of UPS) 2.72.7 out of 5 stars Atlanta, GA 30328 Remote $116,000 - $155,000 a year - Full-time

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