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Full Stack Net Azure Developer Jobs in Beaverton, OR

econialabs.com

Fullstack Engineer

Portland, OR

We are looking for a Full Stack Engineer who is excited to build innovative products and ... Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker ...

campus4tech

Software Engineer 5

Beaverton, OR · On-site

Looking for a Principal Full stack Engineer to develop a newer Company Media Platform tool. Product support for media and picture assets, managing the platform and stack. They'll support internal and ...

Deloitte

CyberArk Senior Consultant

Portland, OR

Hands-on experience in full stack software development across frontend and backend technologies ... Cloud certification in AWS, Azure, or GCP * Bachelor's degree in computer science , Engineering ...

CYNET SYSTEMS

D365 Enterprise Architect

Hillsboro, OR · On-site

$75/hr

Strong experience in Azure (Microsoft stack). * Good experience in Microsoft Dynamics with ~40 ... Senior Developer. * Strong experience delivering 3+ full lifecycle D365 F&O implementations.

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All JobsFull Stack Net Azure Developer JobsFull Stack Net Azure Developer Jobs in Beaverton, OR

Full Stack Net Azure Developer information

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$11

$58

$79

How much do full stack net azure developer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for full stack net azure developer in Beaverton, OR is $58.49, according to ZipRecruiter salary data. Most workers in this role earn between $51.54 and $65.05 per hour, depending on experience, location, and employer.

What is the difference between Full Stack Net Azure Developer vs Full Stack Java Developer?

AspectFull Stack Net Azure DeveloperFull Stack Java Developer
Required CredentialsMicrosoft certifications (e.g., Azure Developer Associate), .NET certificationsJava certifications (e.g., Oracle Certified Professional, Java SE), related certifications
Work EnvironmentPrimarily in Microsoft-based environments, Azure cloud platform, Visual StudioJava-based environments, various IDEs like IntelliJ IDEA or Eclipse
Employer & Industry UsageTech companies, enterprises adopting Azure, Microsoft ecosystemFinancial, tech, and enterprise sectors using Java technologies
Common Search & ComparisonOften compared for cloud integration and Microsoft tech stack expertise

The Full Stack Net Azure Developer specializes in building applications using .NET technologies and deploying on Microsoft Azure, while the Full Stack Java Developer focuses on Java-based solutions across various cloud platforms. Both roles require strong programming skills, but differ mainly in their tech stack and cloud environment preferences.

What is a Full Stack .NET Azure Developer?

A Full Stack .NET Azure Developer is a software engineer skilled in building both front-end and back-end applications using the Microsoft .NET framework. They design and develop web applications, APIs, and services, leveraging Azure cloud services for hosting, storage, and deployment. These developers work with a variety of technologies such as C#, ASP.NET, JavaScript frameworks, SQL databases, and Azure DevOps. Their role often includes integrating cloud-based solutions, optimizing application performance, and ensuring security and scalability of applications. This position requires proficiency in both client-side and server-side development as well as experience with Microsoft Azure's cloud offerings.

What are the key skills and qualifications needed to thrive as a Full Stack Net Azure Developer, and why are they important?

To thrive as a Full Stack Net Azure Developer, you need strong proficiency in C#, .NET frameworks, front-end technologies (like JavaScript, HTML, CSS), and a solid understanding of cloud computing principles, often supported by a relevant degree or certifications such as Microsoft Certified: Azure Developer Associate. Familiarity with Azure services (e.g., App Services, Azure Functions), DevOps tools, and database systems like SQL Server is typically required. Excellent problem-solving abilities, teamwork, and effective communication are crucial soft skills that set top developers apart. These skills ensure efficient delivery of scalable, secure applications and successful collaboration in dynamic, cloud-driven environments.

How does a Full Stack Net Azure Developer typically collaborate with cross-functional teams during a project?

As a Full Stack Net Azure Developer, you will often work closely with front-end developers, backend specialists, DevOps engineers, and project managers to deliver end-to-end solutions. Collaboration usually involves participating in regular sprint meetings, code reviews, and design discussions to ensure seamless integration between different application layers and cloud services. You may also be responsible for translating business requirements into technical specifications and providing feedback on Azure architecture choices, ensuring scalability and security. Effective communication and teamwork are essential for successfully launching and maintaining cloud-based applications.
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Full Stack Net Azure Developer jobs near you
AI Accelerator Software Principal Engineer - NPU Full-Stack Integration

AI Accelerator Software Principal Engineer - NPU Full-Stack Integration

Ampere Computing LLC

Portland, OR • On-site

$182K - $273K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 6 days ago

New

Job description

Description
Invent the future with us.
Ampere is a semiconductor design company for a new era, leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient AI compute.
As a pioneer in the new frontier of energy efficient high-performance computing, Ampere is part of the Softbank Group of companies driving sustainable computing for AI, Cloud, and edge applications.
Join us at Ampere and work alongside a passionate and growing team - we'd love to have you apply!
About the Role
As an AI Accelerator Software Principal Engineer - NPU Full-Stack Integration, you will lead the design and delivery of high-performance, low-latency deep learning inference solutions on the Arm® Ethos™-U85. You'll help advance Ampere's AI software stack by enabling models with performance and efficiency requirements
You will operate at the intersection of software engineering, performance engineering, and hardware-aware optimization, contributing to the full stack from model execution to accelerator-ready kernel performance.
What You'll Achieve:
  • End-to-end deep learning performance acceleration
    Go deep into the full software/hardware execution stack, including:
    • framework integration layers
    • compiler and graph/runtime support
    • runtime libraries and user-mode execution paths
    • compute kernel development
    • profiling, benchmarking, and performance tuning
  • Model enablement with quality and speed
    Improve both performance and accuracy for models using popular frameworks, helping deliver production-ready inference behavior in edge devices.
  • Hardware/software co-design and optimization
    Partner with hardware and platform teams to co-optimize AI execution for better outcomes:
    • increased throughput
    • reduced latency
    • improved scalability
    • better resource utilization (compute/memory/IO)
    • higher sustained performance under realistic workloads
  • Build state-of-the-art AI software components
    Contribute to the development of software and hardware AI co-processors/accelerators, delivering reusable libraries, optimized execution paths, and robust integration with existing tooling.
  • Cross-functional collaboration
    Work closely with cross-functional teams (compiler/runtime, kernels, platform, and product engineering) to integrate AI capabilities into Ampere's cloud-native processor platforms and accelerators.

About You:
  • Education and Experience: BS Computer Science, Computer Engineering, Electrical Engineering, or Software Engineering or related technical field & 8 years of related experience; or MS degree & 6 years; or PhD & 3 years.
  • Understands AOT (Ahead-Of-Time) compilation path in popular frameworks like PyTorch and deployment path like execuTorch in edge environment
  • Linux + accelerator/runtime expertise (preferred): Experience with developing user-mode drivers, runtime libraries, or low-level integration for GPUs or deep learning accelerators in Linux is a plus.
  • Strong systems programming & performance skills:
    • Expert in Python and C/C++
    • Strong background in performance profiling and tuning (latency/throughput, memory behavior, kernel efficiency)
  • Deep ML understanding: Solid understanding of AI/ML concepts including neural networks and data processing frameworks. Experience with modern deep model architectures such as Transformers and Diffusion models is preferred.
  • Modern AI tooling fluency (preferred): Fluent with modern AI programming tools such as Codex or Claude Code, and comfortable accelerating development workflows.
What We'll Offer:
At Ampere we believe in taking care of our employees and providing a competitive total rewards package that includes base pay, cash long-term incentive, and comprehensive benefits. The full base pay range for this role is between $182,000 and $273,000, except in the San Francisco Bay Area where the range is between $195,000 and $292,000.
Our benefits include health, wellness, and financial programs that support employees through every stage of life.
Benefit highlights include:
  • Premium medical insurance, dental insurance, vision insurance, as well as income protection and a 401K retirement plan, so that you can feel secure in your health and financial future.
  • Unlimited Flextime and 10+ paid holidays so that you can embrace a healthy work-life balance.
  • A variety of healthy snacks, energizing espresso, and refreshing drinks to keep you fueled and focused throughout the day.

And there is much more than compensation and benefits. At Ampere, we foster an inclusive culture that empowers our employees to do more and grow more. We are excited to share more about our career opportunities with you through the interview process. Our benefits include health, wellness, and financial programs that support employees through every stage of life.
#LI-Hybrid
#LI-Hybrid #LI-DR
#LI-Hybrid
Ampere is an inclusive and equal opportunity employer and welcomes applicants from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, religion, age, veteran and/or military status, sex, sexual orientation, gender, gender identity, gender expression, physical or mental disability, or any other basis protected by federal, state or local law.

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