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Internship Full Stack Software Developer Jobs in San Jose, CA

They are seeking a Full Stack Software Engineer to push the boundaries of LLMs and voice technology, working directly with customers to build impactful solutions and redefine user experience in HR ...

Job Title: - Senior Full-Stack Software Engineer Location: - Mountain View, CA (3 days onsite) Job Type: - Long Term Contract * 10+ years of professional software engineering experience, with ...

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The Role We are seeking a Junior Full Stack Software Engineer to join the team building the ... We expect you to bring: * 0-2 years of software experience (internships, projects, or a strong ...

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We are seeking a senior full-stack software engineer to design, build, and maintain efficient, reusable code for our software applications. You will work in a fast-paced environment to deliver high ...

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Internship Full Stack Software Developer information

See San Jose, CA salary details

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How much do internship full stack software developer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for internship full stack software developer in San Jose, CA is $69.45, according to ZipRecruiter salary data. Most workers in this role earn between $57.74 and $80.00 per hour, depending on experience, location, and employer.

What is an internship full stack software developer?

An Internship Full Stack Software Developer job involves gaining hands-on experience in both front-end and back-end development. Interns collaborate with teams to design, develop, and test web applications using technologies like HTML, CSS, JavaScript, databases, and server-side languages. They learn industry best practices, version control (e.g., Git), and work on real-world projects. This role helps interns build their technical skills and understand the software development lifecycle while contributing to a company's development efforts.

What types of projects or tasks can I expect to work on as a full stack software developer intern?

As a Full Stack Software Developer intern, you can expect to work on a variety of tasks ranging from assisting with website interface updates to building and testing application features on both the front-end and back-end. Common responsibilities may include fixing bugs, writing and reviewing code, collaborating with senior developers, and participating in team meetings or code reviews. You'll likely use popular development tools and communicate regularly with both designers and software engineers to support ongoing projects. This hands-on experience will help you develop practical technical skills and expose you to the collaborative workflows common in modern software teams.

What are the key skills and qualifications needed to thrive as an internship full stack software developer?

To thrive as an Internship Full Stack Software Developer, you need a basic understanding of both front-end and back-end development, familiarity with core programming languages (such as JavaScript, Python, or Java), and enrollment in or completion of a related computer science program. Experience with frameworks like React or Node.js, version control systems like Git, and exposure to databases are typically beneficial. Strong problem-solving skills, eagerness to learn, and effective communication help you collaborate well with diverse teams. These capabilities are important because interns are expected to quickly adapt, contribute to multiple layers of a project, and clearly communicate progress or challenges in a fast-paced environment.

How to get an internship for full stack software developer?

To secure a full stack software developer internship, candidates should build a strong portfolio demonstrating skills in front-end and back-end technologies, such as JavaScript, HTML, CSS, and frameworks like React or Node.js. Gaining experience through personal projects, contributing to open-source, and obtaining relevant certifications can improve chances, along with applying through company career portals or internship programs and preparing for technical interviews. Having a solid understanding of version control systems like Git and good problem-solving skills are also beneficial.

What are the most commonly searched types of Full Stack Software Developer jobs in San Jose, CA?

The most popular types of Full Stack Software Developer jobs in San Jose, CA are:

What job categories do people searching Internship Full Stack Software Developer jobs in San Jose, CA look for?

The top searched job categories for Internship Full Stack Software Developer jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Internship Full Stack Software Developer jobs?

Cities near San Jose, CA with the most Internship Full Stack Software Developer job openings:

Infographic showing various Internship Full Stack Software Developer job openings in San Jose, CA as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $144,462 per year, or $69.5 per hour.

Senior Full Stack Software Engineer

INFINITE CHOICE LLC

San Francisco, CA • Remote

Full-time

Re-posted 25 days ago


Job description

About the Role

We're seeking a talented Senior Full Stack Software Engineer to join our growing engineering team at InfiniteChoice. You'll lead the design and development of cloud-native software solutions that serve millions of users and power billions in transaction volume.

As a Senior Full Stack Software Engineer, you'll own the complete software development lifecycle from solution design and implementation through testing, production deployment, monitoring and continuous improvement. AI-driven development is a core part of how we build software. You'll leverage modern AI development tools and agentic workflows throughout the engineering lifecycle to accelerate development, improve quality, automate testing, troubleshoot issues and continuously improve production systems.

We're looking for engineers who combine strong software engineering fundamentals with an AI-first mindset using AI as a force multiplier while maintaining ownership of architecture, code quality, security, reliability and business outcomes.

What You Will DoAI-Driven End-to-End Product Development
  • Design: Partner with Product and Design to translate business requirements into technical designs, leveraging AI to accelerate requirements analysis, solution exploration, technical specifications and implementation planning.

  • Development: Build scalable full-stack applications using Node.js, Vue.js/React, JavaScript/TypeScript and cloud-native technologies while leveraging AI-assisted development and agentic coding workflows to accelerate implementation.

  • Code Quality: Leverage AI-assisted code reviews and analysis to identify defects, security risks, architectural inconsistencies, code duplication and opportunities for greater component and service reusability.

  • Testing: Use AI to develop and continuously improve comprehensive automated testing across unit, integration, end-to-end, regression, and performance testing.

  • Deployment: Own applications through production deployment using automated CI/CD pipelines and modern DevOps practices, leveraging AI-driven automation where appropriate.

  • Monitoring & Operations: Own production health through observability, performance monitoring, alerting and incident response, using AI-assisted analysis to accelerate troubleshooting, root-cause analysis, and remediation.

  • Continuous Improvement: Use production telemetry, customer behavior, incidents and engineering metrics to identify opportunities to continuously improve product quality, reliability, performance and maintainability.

Cloud-Native Software Development
  • Architect and develop scalable services using Node.js and modern application frameworks.

  • Build dynamic, responsive user experiences using Vue.js/React and modern JavaScript/TypeScript.

  • Design APIs, services and integration patterns that enable reusable capabilities across applications.

  • Build serverless and containerized applications for scalable cloud deployment.

  • Design software for performance, security, resilience, observability and maintainability.

  • Apply strong architectural principles and engineering judgment when evaluating and validating AI-generated solutions.

Technical Excellence & AI-First Engineering
  • Champion AI-driven software engineering practices across the complete development lifecycle.

  • Continuously experiment with and adopt modern AI development tools, coding agents, and engineering automation that improve developer productivity and software quality.

  • Treat AI-generated code with the same engineering rigor as human-written code, ensuring solutions meet architectural, security, performance, testing, and maintainability standards.

  • Write clean, modular, reusable and maintainable code following established engineering standards.

  • Identify opportunities to create reusable components, services, patterns, and automation rather than duplicating solutions across products.

  • Participate in technical design and code reviews and provide constructive feedback to peers.

  • Contribute to architecture decisions and platform improvements.

  • Share effective AI-assisted engineering techniques and best practices across the team.

Collaboration & Ownership
  • Take full ownership of features and services from concept and technical design through production deployment, monitoring, and ongoing optimization.

  • Work closely with Product, Design, Platform, CloudOps and other engineering teams to deliver business outcomes.

  • Proactively identify and remove technical blockers rather than waiting for direction.

  • Communicate technical concepts, design decisions, risks, and trade-offs effectively to technical and non-technical stakeholders.

  • Demonstrate strong ownership and urgency in driving deliverables through the finish line.

  • Build solutions and documentation that enable other engineers to understand, maintain, and extend your work.

What You Must HaveCore Technical Skills
  • Strong proficiency in server-side JavaScript/TypeScript development with Node.js.

  • Hands-on experience with modern frontend frameworks such as Vue.js and/or React.

  • Deep understanding of modern JavaScript, TypeScript, API design, and distributed application architecture.

  • Experience with SQL and NoSQL databases in production environments.

  • Experience designing and consuming RESTful APIs and GraphQL services.

  • Hands-on experience building and operating cloud-native applications; experience with Google Cloud Platform is a plus.

  • Strong understanding of automated testing, CI/CD, observability, and modern DevOps practices.

  • Hands-on experience using AI-powered software development tools such as Cursor, Claude Code, or comparable coding agents as part of day-to-day software development.

  • Demonstrated ability to use AI effectively across multiple stages of the software development lifecycle not simply for code generation.

Self-Driven Excellence
  • Strong engineering fundamentals and the judgment to critically evaluate, test and improve AI-generated solutions.

  • Independent problem solver capable of taking ambiguous problems from concept through production.

  • Strong sense of ownership and urgency with a track record of driving work through completion.

  • AI-first and continuous-learning mindset with curiosity for emerging engineering technologies and development practices.

  • Commitment to building high-quality, thoroughly tested, maintainable software.

  • Collaborative approach with a strong belief in teamwork, knowledge sharing, and collective ownership.

Education, Experience & Mindset
  • Bachelor's degree in Computer Science, Engineering or equivalent professional experience.

  • 8+ years of hands-on software development experience.

  • Strong analytical, architectural, and problem-solving skills.

  • Ability to thrive in a fast-paced and continuously evolving engineering environment.

  • Passion for building exceptional user experiences.

  • Commitment to engineering excellence across architecture, code quality, automated testing, documentation, deployment, and production operations.

What We Offer
  • Opportunity to shape the technical direction of a rapidly growing company

  • Remote-first culture with flexibility to work from anywhere

  • Collaborative, innovation-focused culture that values continuous learning

  • Chance to work with cutting-edge technologies and solve complex technical challenges

  • Competitive compensation and comprehensive benefits package

About InfiniteChoice

InfiniteChoice was founded to help people find the experiences they want simply and effortlessly. We leverage a new type of business model and platform that uniquely applies automation and technology to solve the challenges of scale and complexity in experience discovery.


Existing business and marketing technologies can no longer handle the demands of connecting millions of consumers with vast inventories of experiences across a fragmented, global marketplace of people, partners, and providers.


Our mission is to disrupt this status quo by creating seamless connections between consumers and experiences. We're just at the beginning of this journey, but our approach is working: we've helped over 275 million visitors connect to millions of experiences, generating over $2 billion in revenue for our brands and partners.