Cloud Infrastructure Architect

16 hours ago


Lahore, Punjab, Pakistan beBee Careers Full time

Software Engineering at Arbisoft

We are seeking an experienced AI Platform/Infrastructure Engineer to join our team. The ideal candidate will have 5+ years of relevant experience in building and deploying solutions with a strong understanding of DevOps culture and infrastructure management.

Key Responsibilities:

  • Design, Build, and Deploy Solutions: Create cloud-based solutions, either Cloud Native or Cloud Agnostic.
  • Ensure Seamless Development and Deployment: Develop and deploy processes from start to finish in a DevOps environment.
  • Write Code: Implement code in Python or Java.
  • Implement CI/CD Pipelines: Use tools like GitHub Actions or Jenkins to automate deployment.
  • Manage Infrastructure as Code: Utilize Terraform for infrastructure automation.

Required Skills and Experience:

  • CI/CD: Experience with GitHub Actions or Jenkins.
  • Infrastructure as Code: Proficiency in Terraform.

Focus Areas:

  • MLOps: ML Deployment and Model Serving with tools such as Kubeflow, KNative, KServe, Nvidia Triton, Ray Serve, MLflow, Sagemaker.
  • Graph Databases: Experience with Graph Databases like Neo4J, JanusGraph, or DGraph (ingesting and consuming data).
  • Big Data: Building Big Data pipelines or platforms to process petabytes of data, including experience with Lakehouse, Data Catalog, Data Lineage, Spark, Glue, and EMR.
  • ML (Platform) Engineer: Experience building ML Platforms or ML Solutions.

Qualifications:

  • At least 5 years of experience in relevant fields.
  • Proficiency in coding, with a strong preference for Python or Java.
  • Strong understanding and hands-on experience with DevOps practices.
  • Expertise in cloud-native or cloud-agnostic solutions.
  • Experience with infrastructure automation and tools like Terraform.


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