Lead Back-End Engineer for Data Streaming Solutions

il y a 3 semaines


Paris, Île-de-France Gorgias Temps plein

Company Overview

Gorgias is a leading platform that empowers ecommerce brands to enhance their customer experience through AI-driven solutions. Trusted by over 15,000 merchants globally, we cater to businesses ranging from small independent shops to major ecommerce enterprises.

Our platform offers the widest array of integrations available on Shopify, enabling swift setup without the complexities of extensive onboarding. Gorgias provides a unified system for managing all facets of customer support across various channels.

We automate up to 60% of support inquiries, allowing agents to concentrate on high-impact interactions that drive sales. Additionally, we provide specialized marketing tools designed to convert more visitors into paying customers, thereby increasing Gross Merchandise Value (GMV).

About the Growth Team

The CRM Tribe consists of three specialized teams:

  • Billing/Growth Team and Auth Scope: This team facilitates all Gorgias products, overseeing the entire process from account creation and provisioning to payment and upgrades.
  • DevRel and Object Team: Responsible for the API curator role, this team bridges the needs of internal and external developers, creating a cohesive platform.
  • Scale-Up Goals: This mission-driven team includes rotating engineers who focus on identifying and resolving key bottlenecks to accelerate company-wide initiatives.

As a backend engineer, you will contribute to the Growth team.

Key Responsibilities
  • Design, implement, and scale event-driven solutions for core company models, enabling usage-based pricing, reactive event notifications, and triggers.
  • Develop robust and scalable workflows to enhance user and customer journeys on the platform.
  • Establish monitoring systems, metrics, and end-to-end testing to ensure API and workflow service level objectives meet Gorgias' standards.
  • Enhance the customer journey from the initial signup to annual contract renewals.
  • Proactively identify, detect, and mitigate fraud at all levels.
Qualifications
  • 5+ years of experience in developing data streaming applications, with a preference for Apache Flink.
  • At least one year of hands-on experience with Apache Flink and Kafka.
  • Proficient in Java, Python, and SQL.
  • Extensive experience with event-driven architectures and eventual consistency models.
  • Experience with high-traffic applications and continuous integration/deployment practices.
  • Passionate about creating customer-centric applications and thriving in a dynamic environment.
  • Experience integrating with common SaaS billing, invoicing, payment processing, and accounting platforms such as Stripe is highly desirable.

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