Cloud Engineer, OpenTable

• Experience with Linux operating systems is a huge plus
• You love tackling new things you’ve never been exposed to before and enjoy evaluating new technologies
• You know how to work with AI to write code and troubleshoot
• You have a solid foundation in scripting languages and APIs
• You love a challenge and we will give you unexpected goals that will stretch your abilities
• You’ve worked closely with Security teams and you're familiar with their tools
• 3-5 years AWS Experience (certification preferred, Solutions Architect Associate minimum)
• Familiarity with aws cli commands
• 5 years scripting experience (priority is bash, go, powershell, python)
• Configuration management (puppet, ansible, terraform)
• Basic Github experience
• Linux experience (preferably Ubuntu or Debian)

Desirable

• The Core Infrastructure Team at OpenTable is responsible for building, maintaining, and evolving the foundational technology stack that supports all environments, from development to production
• Their work focuses on our cloud infrastructure (AWS and GCP) and the modernization of our on-premise platforms, including virtualization, shared storage, and identity systems
• Automation is a key focus, with tools like Ansible, Puppet, and custom solutions streamlining provisioning and maintenance
• Strategically, the team is focused on improving availability, resiliency, efficiency, and security
• Major initiatives include modernizing our cloud infrastructure, automating operational tasks, and evaluating new technologies, with a strong focus on leveraging AI tools for troubleshooting and automation
• The team primarily serves internal engineering groups, ensuring robust, stable, and scalable infrastructure for OpenTable’s products and services
• In this role, we are seeking someone experienced in modernizing legacy software stacks for the cloud, with a primary focus on AWS
• You will help the DBA team migrate traditional database workloads—such as MongoDB and PostgreSQL—to cloud environments and support internal teams in their efforts deploying and operating Kubernetes in the cloud
• A key part of this role involves integrating with artificial intelligence platforms (such as Bedrock and Vertex AI) to enhance our operations and automation capabilities
• While we also maintain on-prem hypervisor infrastructure, your objective will be to automate its routine operational tasks via APIs to reduce manual toil , freeing up time for cloud and AI initiatives
• You will develop solutions that interact with these platforms’ APIs
• Managing and optimizing cloud infrastructure in AWS and GCP, including service deployment and resource utilization
• Leading the evaluation and integration of new technologies, especially AI platforms (like Bedrock and Vertex AI), to improve infrastructure operations
• Developing and maintaining automation and tooling for provisioning, configuration, and operational tasks (using tools like Ansible, Puppet, Terraform, Packer, and custom solutions) to reduce manual toil
• Implementing and maintaining disaster recovery strategies for critical services, including cross-datacenter and cloud-based replication
• Automating the administration of virtualization platforms, including VM provisioning, balancing, and patch management
• Collaborating with security, networking, and data platform teams to ensure infrastructure reliability, scalability, and compliance
• Overseeing shared storage solutions, backup strategies, and storage protocol migrations
• Participating in on-call rotations and incident response for infrastructure-related issues