ARROWCORE GROUP

ARROWCORE GROUP

Backend Developer (GoLang)

Fremont, California, USA · contract, third party

Sponsorship not specifiedDetected 56 days ago
GoDistributed SystemsBackend DevelopmentAWSGCPCloud PlatformsDockerKubernetesCI/CDDevOpsAPI DevelopmentRESTKafkaCollaboration

About the role

  • We are seeking a highly skilled Backend Developer with strong expertise in GoLang to join our direct client's innovative team.

Responsibilities

  • Backend Development: Develop efficient, scalable, and maintainable backend systems using GoLang.
  • Build and manage Software Development Kits (SDKs) for seamless integration with other systems.
  • Workflow Management: Design and implement workflows using tools like Netflix Conductor or similar workflow managers.
  • Authorization Systems: Implement robust authorization mechanisms to ensure secure access control.
  • Use Kubernetes to deploy, manage, and scale containerized applications.
  • Collaboration & Testing: Collaborate with cross-functional teams to define system requirements and deliver high-quality solutions.

Requirements

  • Strong proficiency in GoLang with a proven track record of backend development.
  • Experience with workflow managers like Netflix Conductor or equivalent tools.
  • Proficiency in building SDKs for seamless API integration.
  • Hands-on experience with Docker and Kubernetes for containerization and orchestration.
  • The ideal candidate is proficient in building workflows, managing authorization systems, and has hands-on experience with containerization and orchestration tools like Kubernetes and Docker.
  • Required Skills &
  • Required Skills & Qualifications: Strong proficiency in GoLang with a proven track record of backend development.

Nice to have

  • Experience with cloud platforms such as AWS or Google Cloud Platform.
  • Knowledge of CI/CD pipelines and DevOps practices.

Skills

  • Optimize workflows for performance, scalability, and reliability.

This listing is sourced directly from ARROWCORE GROUP's careers page and normalized into a canonical job model.