Platform Software Engineer (Remote)
About The Position
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.
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
Nice To Haves
- 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
Responsibilities
- 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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
