Senior Cloud Infrastructure Engineer

Who we are

Artmac Soft is a technology consulting and serviceoriented IT company dedicated to providing innovative technology solutions and services to customers.

Job Description:

Job Title : Senior Cloud Infrastructure Engineer

Job Type : W2

Experience: 510 Years

Location : Santa Clara New Mexico

We are looking for a Senior Cloud Infrastructure Engineer who will be responsible for the successful implementation and management of cloudbased infrastructure. The ideal candidate will stay uptodate with the latest trends and advancements in Python APIs web server administration application server administration and Machine Learning technologies.

Responsibilities:

• Proven experience with Cloud Kubernetes/OpenShift.
• Extensive experience with AWS services (EC2 S3 RDS etc.).
• Experience with Machine Learning infrastructure management and Databricks platform administration.
• Experience with Python APIs and web server/application server administration.
• Solid understanding of storage management both onpremises and cloud storage technologies.
• Strong expertise in CICD implementation architecture design containerization and Docker.
• Ability to monitor and troubleshoot system and application issues effectively.
• Knowledge of security best practices for protecting APIs servers and cloud infrastructure.
• Install and configure the latest versions of Python Manage Python upgrades and maintain Python environments.
• Understand onpremises (NAS) and cloud storage technologies (FSX Snap Mirror S3).
• Administer and maintain Pythonbased APIs web servers and application servers.
• Ensure optimal performance and availability of APIs and servers.
• Monitor and troubleshoot system issues including performance bottlenecks server crashes and connectivity problems.
• Manage and maintain Machine Learning infrastructure including model deployment and monitoring data pipelines and other ML components.
• Administer and maintain the Databricks platform including cluster management user access and security configuration.
• Monitor and troubleshoot Databricks clusters job scheduling data pipelines and data processing workflows.
• Deploy and manage applications on AWS using services like EC2 S3 and RDS.
• Ensure scalability security and optimal performance of the Kubernetes infrastructure.
• Implement Continuous Integration and Continuous Deployment (CI/CD) pipelines for application releases.
• Implement and configure monitoring tools and frameworks such as Prometheus Grafana or similar.
• Set up monitoring dashboards to track the health performance and availability of applications and infrastructure.

Qualification:

• Bachelors degree or equivalent combination of education and experience