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Entry Level Full Stack Net Developer Jobs in California

Staffingine LLC

Java Full Stack Developer

San Jose, CA · On-site

$61.50 - $79.50/hr

Java Full Stack Developer Job Location: San Jose, CA Job Type: Contract * 8+ yr experience * Develop and maintain web applications using Java Spring Boot for backend and Angular for frontend

Staffingine LLC

Java Full Stack Developer

San Jose, CA · On-site

$61.50 - $79.50/hr

Java Full Stack Developer Job Location: San Jose, CA Job Type: Contract * 8+ yr experience * Develop and maintain web applications using Java Spring Boot for backend and Angular for frontend

CYNET SYSTEMS

Java Full Stack Developer

Pleasanton, CA · On-site

$63 - $68/hr

Strong proficiency in Java Full Stack development. * Hands-on experience with React JS. * Strong ... Experience with CI/CD pipelines and DevOps practices. * Experience with containerization ...

Apiphany Corporation

Full Stack Engineers

San Francisco, CA · On-site

$136K - $160K/yr

... Developer or related that includes the following: * 0-to-1 product development in building and ... Full-stack engineering , including front-end frameworks (React, TypeScript, or similar) and backend ...

CYNET SYSTEMS

Java Full Stack Developer

Pleasanton, CA · On-site

$63 - $68/hr

Strong proficiency in Java Full Stack development. * Hands-on experience with React JS. * Strong ... Experience with CI/CD pipelines and DevOps practices. * Experience with containerization ...

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Entry Level Full Stack Net Developer information

What are some common challenges faced by entry level Full Stack .NET Developers in their first year, and how can they overcome them?

Entry level Full Stack .NET Developers often encounter challenges such as managing time between learning front-end and back-end technologies, understanding the intricacies of the .NET ecosystem, and adapting to agile development workflows. To overcome these, it's helpful to seek mentorship from experienced colleagues, actively participate in code reviews, and dedicate time to hands-on practice with both C# and JavaScript frameworks. Regularly collaborating with team members and asking questions during stand-ups can also accelerate learning and help navigate real-world project complexities.

What are the key skills and qualifications needed to thrive as an Entry Level Full Stack .NET Developer, and why are they important?

To thrive as an Entry Level Full Stack .NET Developer, you need a solid understanding of programming languages like C#, .NET frameworks, HTML, CSS, and JavaScript, often supported by a computer science degree or relevant coursework. Familiarity with tools such as Visual Studio, SQL Server, Git, and experience with RESTful APIs or Azure are typically expected. Strong problem-solving skills, attention to detail, and effective communication set top candidates apart in collaborative development environments. These skills and qualities are essential for efficiently building, testing, and maintaining robust web applications that meet both user and business requirements.

What is an Entry Level Full Stack .NET Developer?

An Entry Level Full Stack .NET Developer is a beginner or junior software developer who works with both front-end and back-end technologies using the Microsoft .NET framework. They help build, maintain, and improve web applications by writing code for the user interface as well as the server, database, and application logic. Typically, they use languages like C#, HTML, CSS, JavaScript, and frameworks like ASP.NET. Entry level developers are usually recent graduates or those with less than two years of professional experience and work under the guidance of more senior developers.

What is the difference between Entry Level Full Stack Net Developer vs Entry Level Front End Developer?

AspectEntry Level Full Stack Net DeveloperEntry Level Front End Developer
Required SkillsProficiency in C#, ASP.NET, HTML, CSS, JavaScript, and basic database knowledgeStrong HTML, CSS, JavaScript, and UI/UX design skills
Work EnvironmentDevelops both client-side and server-side applications, often in enterprise settingsFocuses on creating and improving user interfaces and client-side features
Common UsageUsed in companies needing full application development capabilitiesUsed in roles emphasizing user experience and front-end design

In summary, an Entry Level Full Stack Net Developer handles both front-end and back-end development tasks, requiring knowledge of C# and ASP.NET, while an Entry Level Front End Developer specializes in designing and implementing user interfaces with HTML, CSS, and JavaScript. The full stack role offers broader responsibilities across the entire application, whereas the front-end role focuses on the visual and interactive aspects.

What are the most commonly searched types of Full Stack Net Developer jobs in California? The most popular types of Full Stack Net Developer jobs in California are:
What are popular job titles related to Entry Level Full Stack Net Developer jobs in California? For Entry Level Full Stack Net Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Full Stack Net Developer jobs in California look for? The top searched job categories for Entry Level Full Stack Net Developer jobs in California are:
What cities in California are hiring for Entry Level Full Stack Net Developer jobs? Cities in California with the most Entry Level Full Stack Net Developer job openings:
Entry Level Full Stack Net Developer jobs near you
Infographic showing various Entry Level Full Stack Net Developer job openings in California as of June 2026, with employment types broken down into 10% Locum Tenens, 60% Full Time, 10% Part Time, 10% Temporary, and 10% Contract. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution.

AI Full Stack Developer & Architect

SBT Global, Inc.

San Jose, CA • On-site

$13K/mo

Contractor

Posted 29 days ago

Job description

Company Description
1 Yr Contract
Onsite
Mid- Level Pay Rate: ~$13,975/mo DOE
We are looking for a highly motivated AI Full Stack Developer to join our team to build, deploy, and maintain end-to-end applications that leverage generative AI models and agentic architectures. As a Full-stack AI Developer, will bridge the gap between AI research and production-ready applications, working across the entire stack from frontend interfaces to backend logic and machine learning models. Will be responsible for building, testing, and scaling AI-driven products.
Job Description
  • AI Application Development: Develop and maintain end-to-end AI applications, from user interfaces to backend logic, focusing on AI-powered features.
  • ML Model Integration: Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into web and mobile applications.
  • Backend & API Engineering: Build and maintain scalable backend services and RESTful APIs, often integrated with large language models (LLMs) and agentic frameworks.
  • Frontend Development: Create interactive, responsive front-end components for user interfaces using modern frameworks like React, Vue, or Next.js.
  • MLOps & Deployment: Manage end-to-end life cycles for production, including deployment workflows using Kubernetes, Cloud Run, or containerization tools to ensure high-performance applications.
  • Database Management: Manage both relational and NoSQL databases to support AI-powered functionality.
  • Collaboration: Work closely with data scientists, product managers, and designers to turn AI capabilities into user-focused products.

Qualifications
Required Qualifications & Skills
  • Experience: Proven experience(5~8 yrs. for Middle Level & 9+ yrs. for Sr. Level) as a Full Stack Developer with specialized experience in AI model deployment.
  • Backend Skills: Strong proficiency in Python and frameworks like FastAPI or Django.
  • Frontend Skills: Experience with modern JavaScript frameworks (React.js + Node.js,Next.js, Plotly Dash + FastAPI).
  • AI/ML Knowledge: Familiarity with AI model integration (e.g., OpenAI API, LangChain, PyTorch).
  • Cloud/DevOps: Experience in Cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes).
  • Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

Preferred Qualifications
  • Experience with generative AI and agentic architectures.
  • Understanding of data privacy and security in AI applications.
  • PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Additional Information
All your information will be kept confidential according to EEO guidelines.

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