Design and implement robust, scalable, and cost-effective cloud-native solutions that span AWS, Azure, and GCP.
Act as a senior individual contributor by writing production-quality code for infrastructure as code (IaC), configuration management, and automation.
Develop and maintain CI/CD pipelines for cloud deployments.
Architect and deploy infrastructure solutions to support the development and scaling of AI and ML models.
Lead the design and review process for new cloud solutions.
Establish and enforce architectural standards, best practices, and governance across all cloud platforms.
Drive the automation of cloud operations and management. Develop and maintain tools and scripts using Python, Terraform, and Ansible.
Integrate security best practices into all aspects of the cloud architecture.
Provide technical guidance and mentorship to junior engineers, acting as a subject matter expert for all things cloud.
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related technical field
7+ years of experience in a hands-on cloud engineering or architecture role
Expert-level proficiency in coding and scripting with Python, and infrastructure as code tools like Terraform and Ansible
Demonstrable experience designing and implementing solutions on AWS, Azure, and GCP
Proven experience developing and deploying infrastructure for AI solutions using services like AWS SageMaker, Azure Machine Learning, and other related cloud services
Strong, hands-on experience with containerization and orchestration technologies (Docker, Kubernetes)
Deep understanding of cloud networking, security, and identity and access management (IAM) principles across multiple cloud providers
Excellent problem-solving skills and the ability to work independently in a fast-paced environment
Strong communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
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