Cloud Platform Engineer Jobs in Washington
Cloud Platform Engineer jobs in Washington are among the most active in the country, concentrated in cloud infrastructure, enterprise DevOps, and platform reliability engineering across technology, aerospace, and government contracting sectors, with openings at every level from junior cloud associate through staff and principal engineer. The heaviest hiring is in Seattle, Redmond, and Bellevue, where Amazon Web Services, Microsoft, and Boeing anchor a dense ecosystem of cloud platform work. Kubernetes, Terraform, and multi-cloud architecture are the most consistently sought specializations across Washington listings. Find a role that fits below and apply directly.
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Showing 5 of 15+ 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 Cloud Platform Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Cloud Platform Engineer JobsCloud Platform Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
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 cloud platform engineer jobs across Washington.
- Proficiency with major cloud providers such as AWS, Azure, or Google Cloud Platform
- Hands-on experience with infrastructure-as-code tools including Terraform or Pulumi
- Demonstrated expertise in container orchestration using Kubernetes and Docker
- Strong background in CI/CD pipeline design and DevOps engineering practices
- Experience supporting enterprise-scale platform environments in regulated or high-availability contexts
- Bachelor's degree in computer science, software engineering, or a closely related technical field
Cloud Platform Engineer Jobs in Washington: Frequently Asked Questions
How do you become a cloud platform engineer in Washington?
Cloud platform engineering in Washington has no state-issued license requirement, so the path runs through technical education and credentials. Most Washington employers hire candidates with a bachelor's degree in computer science or a related field, though candidates who hold cloud provider certifications such as AWS Certified Solutions Architect, Microsoft Azure Administrator, or Google Professional Cloud Architect are consistently competitive. Building hands-on experience through labs, open-source projects, or adjacent roles in systems administration or software development strengthens any application.
How much do cloud platform engineers make in Washington?
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 cloud platform engineers in Washington?
Employers hiring 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 global technology headquarters and major defense contractors means demand for cloud platform talent remains broad and consistent across both commercial and government-adjacent work.
Which Washington cities have the most cloud platform engineer jobs?
Seattle, Bellevue, and Kirkland have the most cloud platform engineer openings in Washington. Seattle and Bellevue drive the bulk of listings because major cloud providers and technology companies are headquartered or have large engineering campuses there, while Redmond contributes significantly through Microsoft's cloud division and the cluster of partners and vendors that locate near it.
Are there remote cloud platform engineer jobs in Washington?
Yes, and more than most fields. About 50% of cloud platform engineer openings tied to Washington are remote or hybrid as of September 2026, reflecting how naturally suited infrastructure and platform work is to distributed teams. The most remote-friendly portions of the role tend to be infrastructure-as-code development, monitoring and observability work, and platform automation, while production incident response and stakeholder architecture reviews often lean toward hybrid arrangements.
How can I get hired as a cloud platform engineer in Washington with little or no experience?
The most realistic entry path is moving into a cloud platform role from a systems administration, site reliability, or junior DevOps position, which large Washington technology employers treat as a direct pipeline. Companies like Amazon and Microsoft run university hiring programs and associate cloud engineer rotations aimed at new graduates, and Washington's community college system offers cloud computing certificates that signal readiness to smaller employers. Building a portfolio with Terraform and Kubernetes projects on public repositories and earning a foundational cloud certification before applying significantly improves early-career candidacy.
Where can I find and apply to cloud platform engineer jobs in Washington?
You can find and apply to cloud platform engineer jobs in Washington on Migrate Mate, which lists current Washington openings across Seattle, Bellevue, Redmond, and other hiring areas in the state. Find roles that fit your experience and specialization and apply directly.
See All 15 Cloud Platform Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Cloud Platform Engineer Jobs