More jobs:
Cloud; AWS/Azure/GCP Developer
Job in
Snowflake, Navajo County, Arizona, 85937, USA
Listed on 2025-11-27
Listing for:
Innodeed Systems
Full Time
position Listed on 2025-11-27
Job specializations:
-
IT/Tech
Cloud Computing, AI Engineer, AWS, Data Engineer
Job Description & How to Apply Below
Location: Snowflake
We are looking for a skilled Cloud Developer with expertise in AWS, Azure, or GCP to design, deploy, and manage AI-powered cloud solutions. The ideal candidate will have a strong background in cloud computing, Dev Ops, and AI-driven automation.
Key Responsibilities- Design, develop, and implement cloud-based AI solutions using AWS, Azure, or GCP
- Deploy, manage, and optimize AI/ML models in cloud environments
- Develop serverless applications and microservices architectures
- Automate cloud infrastructure using Infrastructure-as-Code (Terraform, Cloud Formation, ARM templates)
- Ensure the security, scalability, and performance of cloud-based applications
- Collaborate with AI engineers, Dev Ops teams, and software developers
- Monitor, troubleshoot, and optimize cloud deployments for AI applications
- Stay updated with the latest cloud and AI technologies and best practices
Skills & Qualifications
- Bachelor s or Master’s degree in Computer Science, Engineering, or a related field
- 3+ years of experience in cloud development (AWS, Azure, or GCP)
- Proficiency in cloud services like EC2, S3, Lambda, Kubernetes, AKS, GKE, etc.
- Experience with AI/ML model deployment in cloud environments
- Strong programming skills in Python, Java, Node.js, or Go
- Hands-on experience with Dev Ops tools (Docker, Kubernetes, CI/CD pipelines)
- Knowledge of cloud security, IAM, and networking principles
- Experience with databases (SQL, No
SQL, Big Query, Dynamo
DB, Cosmos
DB) - Strong problem-solving skills and ability to work in a fast-paced environment
- Certification in AWS (AWS Certified Solutions Architect), Azure (Azure Solutions Architect), or GCP (Google Professional Cloud Architect)
- Experience in MLOps and AI model optimization
- Knowledge of cloud-based data engineering tools (Databricks, Snowflake, Redshift)
- Experience with AI-driven automation and cloud cost optimization
- Experience working with AI/ML-powered cloud services like AWS Sage Maker, Azure ML, or GCP AI Platform
- Knowledge of big data processing frameworks (Apache Spark, Kafka, Dataflow, Databricks)
- Cloud certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Professional Cloud Architect
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