Minimum qualifications:

• Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.
• 5 years of experience working in production distributed environments.
  
• Experience in TCP/IP and networking concepts (e.g., PXE boot, Subnets, VLANs, Jumbo Frames, LACP, NIC Teaming, Unicast/Broadcast/Multicast, ACLs, DNS, DHCP, SSH, etc.).
  
• Experience with Load Balancers (F5, HAProxy, Apache, etc.), Cisco Nexus 7000/6000/5000/2000 platforms, vPC, FEX, FabricPath, ISSU, dual stack IPv4/IPv6 deployments, and VLAN, STP, LACP, HSRP/VRRP, OSPF, BGP.
  
• Candidates must be able to obtain and maintain a Level 2 security clearance (SÜ2) under the German Classification Act (SÜG).
  

Preferred qualifications:

• Experience in SRE or IT production systems engineering.
  
• Understanding of Linux, Kubernetes and Storage.
  
• Excellent relationship-building skills, with the ability to empathize with customers and understand their needs.
  
• Excellent communication, people management, and presentation skills.
  
• Excellent problem-solving skills.
  
• Ability to travel internationally up to 25% of the time.
  

Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don’t just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it’s hard to control what you can’t measure – so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters.

Google brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter.

GDCH is a turnkey private cloud offering. It includes everything you need to launch a cloud offering, including software, hardware, tools, operating process, runbooks, and training. As a Systems Development Engineer, you will advocate the use of our own products and services networking capabilities within our internal reference GDCH deployments. You will build deep expertise in deploying and operating Google Distributed Cloud Hosted (GDCH) solutions.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

• Define clear objectives, processes, and metrics for internal reference GDCH deployments. Deploy and manage GDCH deployments using our public documentation, gaining experience with the same resources our customers use.
• Collect, document, and analyze feedback and communicate findings effectively to development teams, providing actionable insights for product improvement. Monitor key metrics, identify trends, and report on the impact of internal deployments and operations.
• Interact with internal development organizations in order to accomplish shared goals successfully.
• Participate in Customer, Partner, and Internal team deployments and training as needed which will require international travel.
• Participate in the 24x7 on-call rotation to support escalations from client deployments as well as internal reference deployments.