Cloud Software Engineer Jobs in Washington
Cloud Software Engineer jobs in Washington are among the most active in the country, concentrated heavily in technology, aerospace, e-commerce, and enterprise software, with openings at every level from entry-level associate engineer through principal and staff engineer. The largest hiring metros are Seattle, Bellevue, and Redmond, anchored by major employers including Microsoft, Amazon, and Boeing. The most in-demand specialties center on distributed systems, cloud-native architecture on AWS and Azure, and infrastructure-as-code. Find a role that fits below and apply directly.
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In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- 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
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Seattle, WA, USA.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 5 years of experienceleading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 3 years of experience in a technical leadership role.
- 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
- 2 years of experience in a people management or team leadership role.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
- Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
- Develop the mid-term technical vision and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
- Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
- Lead the design of GenAI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- 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
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Seattle, WA, USA.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 5 years of experienceleading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 3 years of experience in a technical leadership role.
- 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
- 2 years of experience in a people management or team leadership role.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
- Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
- Develop the mid-term technical vision and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
- Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
- Lead the design of GenAI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.
See All 39 Cloud Software Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Cloud Software Engineer JobsCloud Software Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Cloud Software Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Google19
- Amazon4
- Apple3
- Salesforce3
- Temporal Technologies3
What Washington Employers Look For
The qualifications that appear most often in cloud software engineer jobs across Washington.
- Bachelor's degree in computer science, software engineering, or a closely related field
- Proficiency with at least one major cloud platform such as AWS, Azure, or Google Cloud
- Experience designing and deploying distributed systems or microservices architectures
- Proficiency in one or more languages including Python, Java, Go, or TypeScript
- Familiarity with infrastructure-as-code tools such as Terraform or AWS CloudFormation
- Experience with CI/CD pipelines, containerization, and Kubernetes in production environments
Cloud Software Engineer Jobs in Washington: Frequently Asked Questions
How do you become a cloud software engineer in Washington?
Cloud software engineering in Washington has no state-issued license or mandatory registration, so the path centers on education and demonstrated technical skills. Most Washington employers expect at least a bachelor's degree in computer science, software engineering, or a related discipline, or equivalent experience backed by vendor certifications. Earning an AWS Solutions Architect, Microsoft Azure, or Google Cloud Professional certification strengthens any application and is a common differentiator among candidates competing for roles at Washington's large technology employers.
How much do cloud software engineers make in Washington?
Cloud software 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 software engineers in Washington?
Employers hiring cloud software engineers in Washington right now include Google, Amazon, and Apple, based on current listings on Migrate Mate as of November 2026. Washington's concentration of global technology headquarters and aerospace companies means demand is distributed across both product-focused software companies and large enterprises running significant cloud infrastructure of their own.
Which Washington cities have the most cloud software engineer jobs?
Seattle, Kirkland, and Bellevue account for the largest share of cloud software engineer openings in Washington. Seattle and Bellevue drive most of the volume because they host the headquarters and major engineering campuses of the state's largest technology and e-commerce employers, while Redmond's concentration reflects Microsoft's global engineering operations based there.
Are there remote cloud software engineer jobs in Washington?
Yes, and more than most fields. About 100% of cloud software engineer openings tied to Washington are remote or hybrid as of November 2026, reflecting how naturally the role lends itself to distributed work. Infrastructure, platform engineering, and backend development positions tend to offer the most remote flexibility, while roles requiring close collaboration with on-site hardware or data center operations are more likely to require some in-person presence.
How can I get hired as a cloud software engineer in Washington with little or no experience?
The most realistic entry path is applying to associate or junior software engineer programs at Washington's large technology employers, several of which run structured new-graduate hiring cohorts each spring and fall. Amazon and Microsoft both operate well-known entry-level engineering programs that accept candidates with limited professional experience when paired with a strong portfolio or relevant academic projects. Adjacent roles such as cloud support engineer, DevOps associate, or site reliability engineer at Washington employers are also common lateral entry points, and holding an AWS, Azure, or Google Cloud associate-level certification meaningfully improves a candidate's standing with Washington hiring teams.
Where can I find and apply to cloud software engineer jobs in Washington?
You can find and apply to cloud software engineer jobs in Washington on Migrate Mate, which lists current Washington openings. Search the listings, find roles that fit your background and location preference, and apply directly.
See All 39 Cloud Software Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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