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Full Stack Developer On W2 Jobs in California (NOW HIRING)

Full Stack Engineer

Fremont, CA · On-site

$50 - $55/hr

Job Title Full Stack Engineer 3-5+ years (Mid-level) - Preferable less than 10 years experience ... 55/hr. on W2 Top Requirements (Must haves) Must-Have Skills and Qualifications 1. Frontend ...

Full Stack Developer

Menlo Park, CA · On-site

$60 - $74/hr

Full Stack Developer Location: Menlo Park, CA Duration: 12 months + Compensation: $60-74/hr Work ... By always striving for excellence and focusing on the human aspect of our business, we work ...

... capacity on existing transmission infrastructure without costly upgrades or multi-year delays ... We're seeking a Full Stack Developer experienced in building scalable, high-performance web ...

Full Stack Developer Location: San Ramon, CA Duration: 6 Months Fullstack developer Front end : Java script, html, CSS, any JavaScript libraries Should be good in java Back end : Oracle Responsive ...

There would be custom projects so ability to start from scratch would be also appreciated (in addition to building on popular frameworks) on particular projects. Full-Stack Developer Duties and ...

Position Overview We are seeking a Full Stack Developer to help build and maintain our cloud ... on creating robust systems for robot control and monitoring. Responsibilities * Design and ...

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Full Stack Developer On W2 information

What are the key skills and qualifications needed to thrive as a Full Stack Developer on W2, and why are they important?

To thrive as a Full Stack Developer on W2, you need strong proficiency in both front-end (HTML, CSS, JavaScript frameworks) and back-end (Node.js, Python, Java, or similar) technologies, typically supported by a bachelor’s degree in computer science or related field. Familiarity with databases (SQL/NoSQL), version control systems like Git, and cloud platforms such as AWS or Azure, as well as certifications like AWS Certified Developer, are often expected. Excellent problem-solving, teamwork, and communication skills set top performers apart in collaborative and agile environments. These skills and qualifications are essential for building robust, scalable applications and ensuring seamless integration across the technology stack.

How does a Full Stack Developer on W2 typically collaborate with cross-functional teams during a project lifecycle?

Full Stack Developers on W2 often work closely with UI/UX designers, backend engineers, QA testers, and project managers throughout the development process. Collaboration usually involves participating in daily stand-ups, code reviews, sprint planning meetings, and continuous integration/deployment activities. Effective communication and the ability to adapt to different team members' workflows are essential, as developers are expected to contribute both to front-end and back-end tasks while ensuring seamless integration. This collaborative structure helps deliver cohesive, user-centered solutions and fosters professional growth through exposure to diverse perspectives and technologies.

What is a Full Stack Developer on W2?

A Full Stack Developer on W2 is a software developer proficient in both front-end and back-end technologies, employed directly by a company on a W2 (Wage and Tax Statement) basis. This means they are considered regular employees rather than independent contractors, and the employer handles payroll taxes, benefits, and withholdings. Full Stack Developers work with various programming languages and frameworks to build complete web applications and are responsible for both client-side and server-side development. Being on W2 often provides access to benefits such as health insurance, paid time off, and retirement plans.
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Senior Full Stack Developer

Senior Full Stack Developer

Right Skale, Inc.

Pleasanton, CA • On-site

Full-time

Posted 8 days ago


Job description

Senior Full Stack Developer - Full Time - Pleasanton, CA
We are seeking a Senior Full Stack Developer to build AI/ML-driven cloud data solutions for enterprise clients. You'll develop scalable web applications using Node.js, React, and TypeScript, deploy AI models and data pipelines on AWS and Azure, and optimize multi-cloud environments in a collaborative, innovation-focused setting.
Responsibilities
  • Design and develop full-stack applications using Node.js, React, and TypeScript to support AI/ML workflows and cloud data management.
  • Deploy and manage AI models and data pipelines on AWS (EC2, Lambda, S3, RDS) and Azure, integrating with data lakes, SAP, and cloud databases for efficient data processing.
  • Build and optimize RESTful APIs or GraphQL to enable seamless AI-driven data integrations.
  • Implement CI/CD pipelines with Jenkins, Terraform, or Azure DevOps to automate deployments of AI models and data workflows.
  • Collaborate with data scientists and engineers to integrate machine learning models (e.g., predictive analytics, anomaly detection) into production systems.
  • Enhance application performance, security, and scalability within microservices or serverless architectures, focusing on cost-efficient cloud data solutions.
Required Skills
  • 10+ years in software development, with a focus on full-stack, AI/ML, and cloud data technologies.
  • Proficient in Node.js, React, TypeScript, JavaScript, and Python.
  • Experience with TensorFlow, PyTorch, Scikit-learn, or similar for building and deploying machine learning models.
  • Hands-on experience with AWS (EC2, Lambda, S3, RDS), Azure (Functions, Logic Apps, DevOps), and multi-cloud management.
  • Expertise in data lakes, data pipelines (e.g., AWS Glue, Apache Spark), and cloud databases (e.g., RDS, DynamoDB, Cosmos DB).
  • Skilled in RESTful APIs, GraphQL, or Web Services, with integration experience (e.g., AWS data lakes, SAP).
  • Experience with CI/CD tools (Jenkins, Terraform, Azure DevOps), containerization (Docker, Kubernetes), and Infrastructure as Code (IaC).
  • Strong background in Agile/Scrum and project management in cloud-centric environments.
Preferred Skills
  • Knowledge of big data tools (e.g., Hadoop, Kafka, Snowflake) for large-scale data processing.
  • Experience with MLOps practices (e.g., model monitoring, versioning, deployment) in cloud environments.
  • Familiarity with IT services challenges (e.g., cost optimization, data security).

Job Type: Full Time (W2)
Location: Bay Area, CA
Work Type: Hybrid