
Cloud Infrastructure Architect
16 hours ago
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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