Platform Engineer

Early Applicant

3-8 Years

Job Description

Key Responsibilities:

Manage and deploy cloud-based solutions on AWS, Azure, or GCP
Implement and manage Kubernetes clusters for container orchestration and microservices architectures
Deploy and maintain data science and machine learning web applications in the cloud
Collaborate with development teams to build scalable, secure, and high-performance cloud environments
Ensure continuous monitoring, optimization, and security of cloud applications

Requirements

Key Requirements:

Hands-on experience with Kubernetes and containerized environments
Strong experience deploying applications on AWS, Azure, or GCP
Experience with microservice architecture and managing cloud-native services
Proficiency in deploying ML models and data science applications in cloud environments
Knowledge of CI/CD pipelines, Infrastructure-as-Code (IaC), and automation scripting (Python, Bash, etc.)
Familiarity with containerization tools like Docker
Experience with cloud-based monitoring tools (e.g., Prometheus, Grafana, CloudWatch)
Strong understanding of cloud security best practices, including access control and data protection
Experience in scaling applications, load balancing, and managing high-availability systems
Knowledge of REST API's

Experience - 3-8 Years