• Utilize Terraform to define and provision our GCP infrastructure, ensuring it is scalable, reliable, and cost-effective. • Use Ansible to automate the configuration and management of our systems, improving efficiency and reducing the risk of manual errors. • Leverage DataDog to monitor system performance and application metrics, identifying and resolving issues before they impact our users. • Work closely with software engineers, QA, and operations teams to ensure smooth integration and delivery of our applications. • Continuously explore and implement new tools and practices to enhance our DevOps processes and improve overall system reliability and performance. • Collaborate with architects and engineers to build robust and scalable architectures on GCP to support the organization's applications and services. • Implement Infrastructure as Code practices using tools like Terraform, Ansible, or Google Cloud Deployment Manager to automate the provisioning and management of resources across our cloud platforms. • Leverage serverless technologies to build scalable and cost-effective solutions. • Demonstrate expertise in Google Kubernetes Engine (GKE) and Kubernetes. • Implement secure and efficient cloud networking solutions. • Continuously monitoring and optimizing the performance of cloud systems to ensure optimal resource utilization, scalability, and reliability. • Implementing security best practices and ensuring compliance with relevant regulations and standards (e.g., HIPAA, GDPR) in cloud environments. • Collaborating with cross-functional teams to ensure alignment on architecture decisions and implementation strategies.