Senior Cloud Infrastructure Engineer

Your Mission As a Senior Cloud Infrastructure Engineer at SADA, you will work collaboratively to deliver high quality infrastructure projects on Google Cloud Platform for our cloud and hybrid-cloud customers. You will have an opportunity to work on real-world problems facing our customers in the field. Engagements vary from being purely consultative to requiring heavy hands-on work, and cover a range of domain areas, such as workload migrations from on-premises or other Clouds to GCP, standing up production ready infrastructure on GCP, building hybrid-cloud solutions leveraging infrastructure-as-code automation, and developing fully automated CI/CD pipelines. Moreover, you will be someone who will drive thought leadership, delivering best practice recommendations for internal and external solutions. You possess a diverse background in areas such as architecture design, distributed systems, infrastructure migration, and deployment strategies. To be successful, one must know how to navigate ambiguity, have extensive experience working with cloud technologies, have technical depth, and enjoy working with customers. In this role, you will: Be expected to tackle all technical challenges on whole projects and to mentor less experienced Cloud Infrastructure Engineers. You should be able to work independently but should be a major participant in team reviews. Be recognized as having technical mastery within the practice with an established reputation with Google and our customers. Have demonstrable experience with public-facing activities such as blogs, presentations, webinars, and OSS contributions. Ensure the best architecture and engineering approach is applied. You will be expected to repeatedly deliver complex projects and will be the owner of the complete customer outcome, including complex technical components of the engagement. Participate in early-stage opportunity qualification calls, as well as lead client-facing technical discussions for established projects. Expectations Required Travel: 10% travel to customer sites, conferences, and other related events. Customer Facing: You will interact with customers on a regular basis, sometimes daily, other times weekly/bi-weekly. Common touch points occur when qualifying potential opportunities, at project kickoff, throughout the engagement as progress is communicated, and at project close. You can expect to interact with a range of customer stakeholders, including engineers, technical project managers, and executives. Onboarding/Training - The first several weeks of onboarding are dedicated to learning and will encompass learning materials/assignments and compliance training, as well as meetings with relevant individuals. Details of the timeline are shared closer to the start date. Job Requirements Required Credentials Google Cloud Architect Certified or able to complete within the first 45 days of employment. A secondary Google Cloud certification in any other specialization. Expert or Professional level certifications in either or both AWS and Azure. Required Qualifications: Minimum of 5 years of proven experience in deploying, migrating, configuring, and managing infrastructure on public cloud platforms such as GCP, AWS, Azure. Technical mastery of networking, VPNs, compute infrastructure (servers, databases, firewalls, load balancers, etc), and architecting / developing / maintaining production-grade systems in virtualized environments. Applied experience migrating complex, multi-tiered workloads from on-prem to the cloud, including provisioning the target infrastructure and executing cutover plans that minimize system downtime. Applied experience delivering immutable infrastructure-as-code solutions using tools like Terraform, Ansible, Chef, Puppet, Salt, and Packer. Applied experience delivering continuous integration/continuous delivery pipelines, utilizing techniques like blue/green and canary deployments, with tools such as Jenkins, CircleCI, TravisCI, and Spinnaker. Working knowledge of systems monitoring, capacity planning, and performance tuning. Experience writing software in one or more languages such as Go and Python Useful Qualifications Knowledge and understanding of industry trends and new technologies and the ability to apply trends to architectural needs. Proven experience and understanding of architecture principles across infrastructure platforms, security, data, integration, and application layers. Experience working with containerization technologies (Kubernetes, Docker, etc) Experience being an administrator on a variety of Linux distributions. Experience with information security practices and procedures Strong working knowledge of VMware, KVM, Xen, Hyper-V, or other virtualization software