Cloud-Native Backend Systems Architect

6 days ago

Singapore beBeeBackend Full time $80,000 - $120,000
Cloud-Native Backend Developer Role

We are seeking a skilled cloud-native backend developer to join our team. As a key member of our engineering group, you will design, develop, and maintain scalable and efficient backend systems using Databricks' Platform-as-a-Service (PaaS).

  • This role involves developing and maintaining the Analytics Workbench (AWB), a centralized platform designed to overcome challenges faced by quantitative strategists.
  • You will drive the transition from traditional laptop-based model development to a scalable, collaborative, and cloud-native solution.
  • Leverage Databricks' PaaS to consolidate analytics capabilities across AI, ML, BI, and Data Engineering into a unified platform.
  • Build and optimize systems that streamline data workflows, enhance cross-team collaboration, and reduce reliance on fragmented or custom-built applications.
About You
  • Possess a degree in Computer Science/Information Technology or related fields.
  • At least 5 years of strong DevOps experience with strong experience in CI/CD pipeline and artifactory management.
  • Proficiency in CI/CD workflows such as GitHub Action, Jenkins.
  • Proficiency in artifact repository management systems such as JFrog, Nexus.
  • Strong Linux administration skills and Shell scripting expertise.
  • Experience in software engineering in at least one of these programming languages - JavaScript, Java, Python, or .NET.
  • Experience in containerization technologies such as Docker, Kubernetes, EKS, Helm (Relevant certifications are a plus).
  • Experience in AWS with solid understanding of Cloud services and infrastructure management (AWS certifications are a plus).
  • Excellent communication skills to work effectively with diverse engineering teams.
  • Strong team-player mindset, focused on leveraging experience to help the team succeed.
Benefits
  • Foster a culture of innovation, automation, and best practices in engineering and DevOps.
  • Ensure high standards of reliability, scalability, and performance for AWB while fostering a culture of innovation, automation, and best practices in engineering and DevOps.

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