Senior Cloud Platform Engineer Jobs in Washington
Senior Cloud Platform Engineer jobs in Washington are among the most active in the country, concentrated in cloud infrastructure, enterprise software, and federal contracting work that defines the state's technology economy from Puget Sound to the Eastside corridor. Most hiring is in Seattle, Bellevue, and Redmond, where employers like Microsoft, Amazon, and Boeing maintain deep engineering teams and consistently recruit for senior cloud platform talent. The most in-demand specialties are Kubernetes orchestration, multi-cloud architecture on AWS and Azure, and platform reliability engineering. Find a role that fits below and apply directly.
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Showing 5 of 15+ Senior Cloud Platform Engineer jobs
- 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 (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA.
Minimum qualifications:
- Bachelor's degree in Computer Science, Management Information Systems, or other technical field, or equivalent practical experience.
- 6 years of experience with technical infrastructure (deployment, maintenance, and troubleshooting), and quality and reliability of technical infrastructure.
- 6 years of debug or validation experience with CPU, dGPU, or TPU
- 5 years of experience with hardware debug (silicon debug, platform debug, IO interface, or memory analysis).
- Experience debugging technical issues across the stack (hardware faults, low-level software, networking, virtualization, kernel drivers, firmware, or performance)
- Experience with Linux/Unix systems and debugging issues across the hardware/software boundary on enterprise-grade server infrastructure.
Preferred qualifications:
- Experience working with large-scale distributed systems, and familiarity with common solutions, design patterns, or best practices.
- Experience working directly with AI/ML computing hardware, including GPUs or other accelerators.
- Experience with systems automation, and with systems design and debug.
- Experience with ML frameworks (e.g., TensorFlow, Pytorch), and understanding of the AI/ML training and inference lifecycle.
- Familiarity with containerization and orchestration technologies like Kubernetes or Slurm in an on-prem or cloud environment.
- Understanding of memory and high-speed IO technologies.
About the job
Our AI Infrastructure Engineering Support team is dedicated to ensuring our customers get the most out of their Google Cloud hardware investment. As a Platform Application Engineer (Hardware Engineer), you will be focused on solving customer observations by, driving deep hardware analysis, debug, and issue resolution through to the root cause. You will dive deep into complex technical challenges, troubleshoot critical issues across the platform, and provide resolutions in both short-term and long-term platform solutions. In this role, you will represent the customer solution, collaborating tightly with engineering and product teams to drive continuous improvement in our products and services.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: $188000 - $274000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Manage customer’s problems through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity on AI/ML infrastructure.
- Work closely with multiple Product, Quality, and Engineering teams to improve the product, and interact with our Site Reliability Engineering (SRE) teams to understand behaviors.
- Debug platform hardware and silicon-related issues to drive root-cause resolution and develop permanent improvements.
- Drive understanding of AI/ML workloads and underlying hardware architectures by troubleshooting, reproducing, determining the cause for customer reported issues, and building tools for faster diagnosis.
- Act as a consultant and subject matter expert for internal stakeholders in Engineering and Quality organizations to resolve complex deployment and operational obstacles in AI infrastructure environments.
- 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 (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA.
Minimum qualifications:
- Bachelor's degree in Computer Science, Management Information Systems, or other technical field, or equivalent practical experience.
- 6 years of experience with technical infrastructure (deployment, maintenance, and troubleshooting), and quality and reliability of technical infrastructure.
- 6 years of debug or validation experience with CPU, dGPU, or TPU
- 5 years of experience with hardware debug (silicon debug, platform debug, IO interface, or memory analysis).
- Experience debugging technical issues across the stack (hardware faults, low-level software, networking, virtualization, kernel drivers, firmware, or performance)
- Experience with Linux/Unix systems and debugging issues across the hardware/software boundary on enterprise-grade server infrastructure.
Preferred qualifications:
- Experience working with large-scale distributed systems, and familiarity with common solutions, design patterns, or best practices.
- Experience working directly with AI/ML computing hardware, including GPUs or other accelerators.
- Experience with systems automation, and with systems design and debug.
- Experience with ML frameworks (e.g., TensorFlow, Pytorch), and understanding of the AI/ML training and inference lifecycle.
- Familiarity with containerization and orchestration technologies like Kubernetes or Slurm in an on-prem or cloud environment.
- Understanding of memory and high-speed IO technologies.
About the job
Our AI Infrastructure Engineering Support team is dedicated to ensuring our customers get the most out of their Google Cloud hardware investment. As a Platform Application Engineer (Hardware Engineer), you will be focused on solving customer observations by, driving deep hardware analysis, debug, and issue resolution through to the root cause. You will dive deep into complex technical challenges, troubleshoot critical issues across the platform, and provide resolutions in both short-term and long-term platform solutions. In this role, you will represent the customer solution, collaborating tightly with engineering and product teams to drive continuous improvement in our products and services.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: $188000 - $274000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Manage customer’s problems through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity on AI/ML infrastructure.
- Work closely with multiple Product, Quality, and Engineering teams to improve the product, and interact with our Site Reliability Engineering (SRE) teams to understand behaviors.
- Debug platform hardware and silicon-related issues to drive root-cause resolution and develop permanent improvements.
- Drive understanding of AI/ML workloads and underlying hardware architectures by troubleshooting, reproducing, determining the cause for customer reported issues, and building tools for faster diagnosis.
- Act as a consultant and subject matter expert for internal stakeholders in Engineering and Quality organizations to resolve complex deployment and operational obstacles in AI infrastructure environments.
See All 15 Senior Cloud Platform Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find JobsSenior Cloud Platform Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Senior Cloud Platform Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Banking & Financial Services
- Investment & Asset Management
What Washington Employers Look For
The qualifications that appear most often in senior cloud platform engineer jobs across Washington.
- Bachelor's degree in computer science, software engineering, or a related technical field
- Five or more years of hands-on cloud platform engineering experience on AWS, Azure, or GCP
- Demonstrated expertise in Kubernetes, containerization, and infrastructure-as-code tools like Terraform
- Experience designing and operating large-scale distributed systems in production environments
- Proficiency in at least one scripting or systems programming language such as Python or Go
- Relevant cloud certifications such as AWS Solutions Architect or Azure Solutions Architect Expert
Senior Cloud Platform Engineer Jobs in Washington: Frequently Asked Questions
How do you become a senior cloud platform engineer in Washington?
Washington has no state-issued license or registration requirement for cloud platform engineers, so the path runs through education and experience. Most employers require a bachelor's degree in computer science, software engineering, or a closely related field. From there, engineers typically build several years of hands-on infrastructure and DevOps experience before stepping into senior roles. Cloud vendor certifications from AWS, Microsoft Azure, or Google Cloud are widely recognized by Washington employers and strengthen a candidacy at the senior level.
How much do senior cloud platform engineers make in Washington?
Senior cloud platform engineers in Washington earn a median of about $166,540 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $96,810 for the lowest 10% to over $255,350 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior cloud platform engineers in Washington?
Employers hiring senior cloud platform engineers in Washington right now include Google, ByteDance, and Goldman Sachs, based on current listings on Migrate Mate as of September 2026. Washington's concentration of cloud-native companies and federal contractors in the Seattle-Bellevue-Redmond corridor means hiring volume here is consistently high compared with most other states.
Which Washington cities have the most senior cloud platform engineer jobs?
Seattle, Bellevue, and Kirkland have the most senior cloud platform engineer openings in Washington. Seattle and Bellevue drive the bulk of demand as headquarters and major operations hubs for the state's largest technology employers, while Redmond's deep Microsoft presence anchors a steady stream of Azure-focused platform roles year-round.
Are there remote senior cloud platform engineer jobs in Washington?
Yes, and more than most fields. About 50% of senior cloud platform engineer openings tied to Washington are remote or hybrid as of September 2026, reflecting how much of the work centers on cloud consoles, infrastructure code, and distributed tooling rather than physical hardware. Architecture, automation, and platform reliability work transfer particularly well to fully remote arrangements.
How can I get hired as a senior cloud platform engineer in Washington with little or no experience?
The most realistic entry path is through a cloud infrastructure or DevOps associate role at a Washington technology company or federal contractor, where you build hands-on production experience before moving into a platform engineering track. Microsoft, Amazon, and Boeing all run new-graduate and associate programs in the Seattle and Eastside markets that routinely feed into senior pipelines over time. Earning a foundational cloud certification on AWS or Azure gives candidates without a long resume a concrete credential that Washington hiring teams respond to, and lateral moves from systems administration or site reliability roles are common.
Where can I find and apply to senior cloud platform engineer jobs in Washington?
You can find and apply to senior cloud platform engineer jobs in Washington on Migrate Mate, which lists current openings in the state. Search the listings, find roles that fit your background and target location, and apply directly.
See All 15 Senior Cloud Platform Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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