Backend Engineer (In-Person)

Posted Yesterday
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New York, NY, USA
Hybrid
75K-100K Annually
Senior level
Artificial Intelligence • eCommerce • Retail • Software
The Role
Design, build, and maintain scalable microservices in Go using gRPC and Protocol Buffers; deploy on GCP (Compute Engine, Cloud Run, Cloud Storage); implement API security (OAuth2) and credential management; containerize with Docker/Kubernetes; collaborate with MLOps and frontend teams; mentor junior developers; troubleshoot production issues and document API contracts.
Summary Generated by Built In

Senior GoLang Developer - Distributed Systems

About the Role

We're seeking a Senior GoLang Developer with expertise in building and maintaining distributed systems. The ideal candidate should have strong experience with gRPC and Protocol Buffers for service-to-service communication, demonstrating a deep understanding of microservices architecture and high-performance inter-process communication patterns. You will be working along MLOps and frontend teams. Great opportunity to help lead large projects and gain equity in a fast scaling startup.

Key Responsibilities

  • Design, develop, and maintain scalable microservices using GoLang and gRPC

  • Implement robust API authentication mechanisms and manage third-party service integrations

  • Build and optimize service-to-service communication using Protocol Buffers

  • Deploy and manage applications on Google Cloud Platform (GCP)

  • Collaborate with cross-functional teams to design and implement new features

  • Participate in code reviews and mentor junior developers

  • Troubleshoot and resolve production issues

  • Document technical specifications and API contracts

Required Qualifications

  • Strong experience with gRPC and Protocol Buffers for microservices communication

  • Proven track record of building and maintaining production-grade distributed systems

  • Experience with GCP or services, particularly Compute Engine, Cloud Run, and Cloud Storage, although experience with other cloud providers is acceptable

  • Strong understanding of API security, OAuth 2.0, and credential management

  • Experience with containerization technologies (Docker, Kubernetes)

  • Solid understanding of distributed systems concepts (CAP theorem, eventual consistency, etc.)

Preferred Qualifications

  • Experience with other cloud platforms (AWS, Azure)

  • Contribution to open-source projects

  • Knowledge of monitoring and observability tools (Prometheus, Grafana)

  • Experience working with GitLab

  • Experience with CI/CD pipelines

  • Experience with vector databases like Pinecone

  • Background in performance optimization and scalability

About Us

We're a rapidly growing AI technology company revolutionizing e-commerce search and discovery through advanced multimodal AI and natural language processing. Our platform transforms traditional keyword-based search systems into intelligent discovery experiences by leveraging proprietary machine learning models that understand text, images, and user behavior. By providing seamless API integration, we enable retailers to unlock the full potential of their product data without complex technical implementations, helping brands deliver highly personalized shopping experiences to their customers.

Skills Required

  • Proficient in Go (Golang) for backend service development
  • Strong experience with gRPC and Protocol Buffers
  • Proven track record building and maintaining production-grade distributed systems
  • Experience with Google Cloud Platform (Compute Engine, Cloud Run, Cloud Storage) or other cloud providers
  • Strong understanding of API security, OAuth 2.0, and credential management
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Solid understanding of distributed systems concepts (CAP theorem, eventual consistency, etc.)
  • Experience with other cloud platforms (AWS, Azure)
  • Contributions to open-source projects
  • Familiarity with monitoring and observability tools (Prometheus, Grafana)
  • Experience working with GitLab
  • Experience with CI/CD pipelines
  • Experience with vector databases like Pinecone
  • Background in performance optimization and scalability
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The Company
0 Employees
Year Founded: 2023

What We Do

Refine Technology Inc. provides AI-powered search and recommendation infrastructure specifically designed for e-commerce platforms and enterprises. Their mission is to build the planet's best discovery and personalization systems, leveraging vertical-specific data and AI to enhance product search and recommendations, ultimately helping online brands convert casual browsers into loyal buyers by improving the overall shopping experience through a multimodal discovery engine.

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