You will work regular hours, with some flexibility to collaborate with other geographical locations. You will also join an on-call rotation roughly once a quarter (subject to change), covering a 48-hour weekend Tier1 shift with a 5-minute response Service Level Objective (SLO).
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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
- US: $176000 - $256000 (USD) + 20% bonus target + equity + benefits
- Canada: $174000 - $178000 (CAD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Partner with Development Directors, Product Management, and Support leadership to define and execute the technical supportability roadmap across Google Cloud's portfolio including automated deflection and self-service diagnostics.
Analyze fleet-wide incident telemetry and recurring customer failure modes to author technical proposals that influence Product Development roadmaps driving upstream improvements in API design, quota governance, error observability, and platform guardrails.
Understand customer issues, advocate for their needs with internal teams, including product and development teams, to find ways to deliver support and products.
Design and deploy internal diagnostic tools, SQL/telemetry pipelines, and AI-driven triage automations that eliminate manual development toil and accelerate root-cause identification across global support teams.
Lead production supportability reviews before launch sign-off.
Minimum qualifications
Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
13 years of experience troubleshooting and advocating for customer needs, and triaging technical issues (e.g., hardware, software, application, operational, process).
Experience leading projects or initiatives from design/concept through to delivery (e.g., driving a feature improvement or new internal tool).
Preferred qualifications
Experience querying, analyzing, and interpreting large datasets using SQL and other data storage/analysis tools (e.g., NoSQL, logs analysis, protocol buffers, MapReduce).
Experience with public cloud services (Google Cloud Platform), Machine Learning, Generative AI, model evaluation, and supporting hosted applications or FinOps/billing systems.
Proficiency in coding, debugging, or system design with general-purpose programming languages (e.g., Java, C, C++, Python, Go, Shell, JavaScript, Perl, .NET) and core web technologies, networking, or Linux/Unix administration.
Proven leadership and technical communication skills to create documentation, influence system architecture, and collaborate across Support and Product Development teams.
Strong computer fundamentals in web technologies (e.g., HTTP, HTML, DNS, TCP, etc.).
Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
13 years of experience troubleshooting and advocating for customer needs, and triaging technical issues (e.g., hardware, software, application, operational, process).
Experience leading projects or initiatives from design/concept through to delivery (e.g., driving a feature improvement or new internal tool).
