Senior Cloud Engineer

• Design, develop, deploy, monitor, maintain, and evolve cloud-native resources, tools, services, reusable modules (infrastructure-as-code-practices) and frameworks to secure and automate provisioning of cloud infrastructure that empowers our users across Azure, AWS, GCP
• Provide customers with standards and best practices on how to deploy and consume cloud-based services
• Proactively seek opportunities to improve operational efficiency of teams and usage of cloud services
• Contribute to a strong team-culture and an atmosphere of cross-functional teamwork
• Work with internal customers in managing incident tickets to achieve operational excellence
• Work with global teams to provide support and complete IT projects
• Create secure hybrid deployments of virtual machines, and PaaS solutions in Azure, AWS, GCP
• Work with Project teams to understand and accommodate application architecture and the App’s specific requirements for Azure, AWS, and GCP
• Collaborate with other engineers and stakeholders to share knowledge and build expertise for IaaS, PaaS, and Saas deployment
• Collaborate with onshore and offshore resources
• Implementing and automating security controls, governance processes, and compliance validation by closely partnering with the Security Team to incorporate respective requirements and best practices to keep our Cloud Env safe and secure
• Applies experience in migrating on-premises applications and workloads to Azure, AWS, GCP using cloud technologies and providing support
• Drives identity (IAM), access, and configuration management for cloud native tools
• Responsible for the Recovery and Continuity process for cloud environments

• Bachelor's degree in Computer Science, Engineering, or a related field
• Cloud Systems Engineer general experience of various CSPs fundamentals with: Terraform, YAML, Jenkins, GitHub actions
• Python, Golang, Shell, Java/J2EE, NodeJS, ReactJS, HTML5, PyTorch
• Able to build and support a full CI/CD pipeline to support consistent code deployment
• Preferred understanding of AI framework
• Managing GPU clusters optimizing GPU-based services/tools/software
• Experience with Container technologies (GKE, EKS, ECS, Docker, Kubernetes) is desirable
• Understanding CHANGE Management/Release Process
• Strong understanding of Agile/Scrum methodologies
• Strong active listening and consensus-building skills and passionate about learning and sharing knowledge with others
• Infrastructure automation like Ansible, Terraform, or Cloud Formation, Deployment Mgr., and Resource Mgr.
• Designing, developing, and implementing solutions that improve efficiency and reduce costs through Kubernetes/containers, virtualization, functions, and automation
• Experiences in building and managing complex cloud environments in Azure, AWS, GCP including security measures for encryption, authorization, and protocols
• Monitoring system performance, conducting capacity planning, identifying trends, and providing recommendations to improve service levels via automation
• Working closely with software development teams to troubleshoot and resolve issues
• Understand cloud networking (VPCs), Load balancers, WAFs and CDNs
• Experience deploying, managing, administering, and migrating Infrastructure platforms in a Hybrid environment
• Strong understanding of different deployment resource types and when to deploy each type (IaaS, PaaS, SaaS)
• Experience with Cloud native monitoring tools and also Nagios, ELK stack, Kibana/Prometheus
• Proactive and empathetic mindset - you love to roll up your sleeves to fix problems for our customers
• Ability to juggle multiple projects and priorities and re-prioritize as necessary to align with current business

Experience with Container technologies (GKE, EKS, ECS, Docker, Kubernetes) is desirable