Google Systems Engineer Jobs (NOW HIRING)

Minimum qualifications:

• Bachelor's degree in Computer Science, IT-related field, or equivalent practical experience.
• 5 years of experience with systems automation, systems design, and implementation.
• 5 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting) and with reliability of technical infrastructure.
• 3 years of experience with Kubernetes or a similar container orchestration platform.
• 3 years of experience with TCP/IP networking and with diagnosing and resolving network-related issues.
• Ability to travel internationally up to 25% of the time as needed.

Preferred qualifications:

• Experience designing, implementing, and managing enterprise-grade storage systems including SAN, NAS, or distributed file systems.
• Experience with physical data center operations including hardware installation, power and cooling management, and asset lifecycle management.
• Experience managing customer relationships and virtualized environments.
• Knowledge of hypervisors (e.g., KVM, vSphere, Hyper-V).
• Ability to work directly with clients to understand their technical needs.
• Excellent communication skills with the ability to implement identity and access management (IAM) solutions, such as active directory.

About the job
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.
Google Distributed Cloud (GDC) is a private cloud solution for public sector and regulated enterprises. It is an offering that brings advanced Google services on-premise, without ever needing a connection to the public internet. Built on an open ecosystem with Kubernetes, GDC offers hardware and configurable operations. We are hiring a Senior Systems Development Engineer to focus on deploying and operating these GDC solutions for our customers.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $237000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities

• Perform complex day-to-day troubleshooting and resolution of infrastructure issues (e.g., Network, Storage, Servers, Operating System, Kubernetes, etc.).
• Participate in customer, partner, and internal team deployments which will require international travel.
• Be able to personify and own the IO persona experiences defined in GDC air-gapped product.
• Participate in the 24x7 on-call rotation to support escalations from client deployments as well as internal reference deployments.

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