Customer Engineer III, Platform, Google Cloud, West

About the role

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

Responsibilities

• Develop and own the technical account plan and strategy, participating in planning and supporting targeted sales motions.
• Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through demos, pilots and in-depth workshops.
• Arcitect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers; continue to lead the technical engagement in the solution phase.
• Collaborate with capacity and Site Reliability Engineering (SRE) teams to proactively de-risk Google Kubernetes Engine (GKE) clusters ahead of massive seasonal traffic spikes through optimizations and advanced capacity planning.
• Facilitate the post-sales transition and overall delivery life-cycle by supporting pricing activities, handing off the final plan to implementation teams, and providing ongoing support to cross-functional teams during the ramp, migration, and delivery phases.

Requirements

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.
• Experience engaging with, or presenting to, technical stakeholders or executive leaders.
• Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.

Preferred qualifications

• Experience selling technical solutions in one or more of the following: infrastructure modernization, application modernization, data management, data analytics, cloud AI, networking, migrations, security.
• Experience managing and optimizing massive-scale Kubernetes deployments.
• Expertise in advanced container networking issues at a massive scale, including implementing IPv6 dual-stack pods, Class E IPv4 addressing, and configuring architecture to overcome high-capacity VPC peering limits.
• Familiarity with accelerating AI/ML workloads on Kubernetes such as managing GPU/TPU allocations and optimizing accelerator resource fungibility across environments.

Benefits

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Pay

$152,000 - $222,000 (USD) + 42.86% bonus target + equity + benefits

Schedule

Full-time