Cloud Platform Engineer - Remote

Overview

We are seeking a Cloud Platform Engineer to join a small, high-performing engineering team focused on ambitious technology goals. This role offers an exciting opportunity for career growth, where quick thinking, long-term strategic awareness, and the ability to collaborate effectively are essential.

In Short

• Build and manage scalable cloud infrastructures across AWS, Azure, and GCP.
• Utilize tools like AWS CDK, Azure Blueprints, GCP Deployment Manager, and Terraform.
• Develop IAM policies and automate operations through GitHub Actions.
• Instrument and deploy new codebases.
• Implement security policies with Cloud Custodian.
• Educate stakeholders on cloud best practices.
• Balance hands-on technical work with vendor collaboration.
• Document processes and share knowledge across platforms.
• Troubleshoot modern containerized environments and traditional Windows Server infrastructures.
• Uphold strong operational and security standards.

Requirements

• Solid experience coding toward system “-ilities” such as scalability, availability, and security.
• Familiarity with OWASP security principles.
• Expertise in AWS, with working knowledge of Azure and GCP.
• Strong understanding of Cloud as APIs managing real-world components.
• Ability to switch between Unix/Linux shell syntaxes, Windows CLI, and GNU/Linux environments.
• Practical experience debugging Python 3.x, JavaScript, and similar languages.
• Proven ability to build infrastructure as code solutions.
• Comfort balancing traditional server-oriented workflows with containerized architectures.
• A strong bias for action and continuous learning.
• Ability to document and share new knowledge.
• Familiarity with tools like Jira, Confluence, Zoom, GitHub, and Artifactory.
• Certifications and degrees are valued, but practical experience is equally important.

Benefits

• Career growth opportunities.
• Collaborative and high-performing team environment.
• Flexible working conditions.
• Focus on ambitious technology goals.
• Support for continuous learning and knowledge sharing.