Platform Software Engineer

🕒 il y a 8 jours

🇺🇸 États-Unis – Télétravail

💵 €116 000 - €155 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of Happy Returns, a UPS Company

Happy Returns, a UPS Company

51 - 200 employés

Fondée en 2015

🛍️ eCommerce

🛒 Commerce de détail

eCommerce • Logistics • Retail

Happy Returns, une entreprise UPS, est un leader dans la simplification du processus de retour de produits pour les consommateurs et les commerçants. L'entreprise offre une expérience de retour sans couture grâce à son réseau innovant de Return Bar®, permettant aux clients de retourner des articles sans avoir à utiliser de boîtes ou d'étiquettes à plus de 8 000 emplacements, y compris plus de 5 000 sites UPS Store. En combinant technologie et logistique inverse, Happy Returns améliore la satisfaction client tout en rationalisant les opérations des détaillants, dans le but de créer une expérience de retour agréable.

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

🎯 Exigences

• 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

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