Platform Software Engineer

🕒 4 days ago

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Happy Returns, a UPS Company

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🛍️ eCommerce

🛒 Retail

eCommerce • Logistics • Retail

Happy Returns, a UPS Company, is a leader in simplifying the product return process for customers and merchants alike. The company offers a seamless returns experience through its innovative Return Bar® network, allowing customers to return items without the hassle of boxes or labels at over 8,000 locations, including over 5,000 UPS Store locations. By combining technology with reverse logistics, Happy Returns enhances customer satisfaction while streamlining retailer operations, aiming to create a delightful return experience.

📋 Description

• 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

• 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