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Internship Full Stack Developer Jobs in Puerto Rico

Xtillion

Engineering Manager

San Juan, PR

Stay current with emerging AI and software technologies and apply them pragmatically to client solutions What We're Looking For Required Qualifications * 6+ years of full-stack software engineering ...

Hewlett Packard Enterprise

Golang Senior Developer

San Juan, PR · Hybrid

$53.50 - $70.50/hr

Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions ...

Xtillion

Engineering Manager

San Juan, PR · On-site

Stay current with emerging AI and software technologies and apply them pragmatically to client solutions What We're Looking For Required Qualifications * 6+ years of full-stack software engineering ...

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Internship Full Stack Developer information

What is an Internship Full Stack Developer job?

An Internship Full Stack Developer job is a temporary position where candidates gain hands-on experience in both front-end and back-end web development. Interns typically work with technologies like HTML, CSS, JavaScript, databases, and server-side frameworks to develop and maintain web applications. They often collaborate with senior developers, participate in coding tasks, fix bugs, and contribute to real-world projects. This role helps interns build practical skills, understand development workflows, and prepare for full-time roles in software development.

What are the key skills and qualifications needed to thrive in the Internship Full Stack Developer position, and why are they important?

To thrive as an Internship Full Stack Developer, you should have a solid understanding of both front-end and back-end programming languages (such as JavaScript, HTML/CSS, and a back-end language like Node.js or Python) and foundational knowledge of databases. Familiarity with tools like version control (Git), frameworks (React, Angular, or Express), and basic web development environments is useful, though formal certifications are less critical for internship roles. Strong problem-solving skills, eagerness to learn, and effective communication will help you excel and blend well into a development team. These abilities allow interns to contribute meaningfully to projects while gaining valuable hands-on experience and collaborating well with others.

What kind of projects or tasks will I work on as an Internship Full Stack Developer?

As an Internship Full Stack Developer, you can expect to work on a variety of tasks that may include building user interfaces, developing backend APIs, integrating databases, fixing bugs, and supporting ongoing software projects. You'll typically collaborate with senior developers, designers, and other interns, allowing you to learn agile development practices and improve your coding skills in real-world applications. The scope of your responsibilities may also expand based on your progress and the needs of the team, giving you opportunities to explore both front-end and back-end development. This hands-on project experience is a key stepping stone toward launching a successful career as a Full Stack Developer.
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What cities in Puerto Rico are hiring for Internship Full Stack Developer jobs? Cities in Puerto Rico with the most Internship Full Stack Developer job openings:
Internship Full Stack Developer jobs near you
Infographic showing various Internship Full Stack Developer job openings in Puerto Rico as of May 2026, with employment types broken down into 16% Full Time, 81% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Engineering Manager

Xtillion

San Juan, PR

Other

Posted 14 days ago

Job description

About the Role 

We're looking for an Engineering Manager to lead teams building and deploying AI-powered, production-grade software systems directly into customer environments. 

In this role, you'll operate at the intersection of technical leadership and client engagement. You'll be responsible for guiding engineers through ambiguous problem spaces, ensuring high-quality execution, and maintaining strong alignment between business objectives and technical solutions. 

This position is ideal for leaders who enjoy being hands-on when needed, working closely with clients, mentoring engineers, and owning the successful delivery of complex, real-world systems. 

What You'll Do 

  • Lead and support teams of software and data engineers delivering AI-enabled systems in production 
  • Own the technical execution and delivery of client-facing projects, ensuring quality, reliability, and outcomes 
  • Collaborate with cross-functional teams to translate business needs into production-ready systems  
  • Guide system and solution design across infrastructure, backend services, data platforms, and AI workflows 
  • Provide technical mentorship and coaching to engineers through problem solving sessions, code reviews, design discussions, and regular feedback 
  • Balance short-term delivery needs with long-term system maintainability and scalability 
  • Stay current with emerging AI and software technologies and apply them pragmatically to client solutions 

 What We're Looking For 

Required Qualifications 

  • 6+ years of full-stack software engineering experience  
  • 1-3 years of experience leading or managing technical teams 
  • Demonstrated ability to set technical direction for client-facing initiatives, balancing delivery commitments, stakeholder expectations, and technical quality 
  • Proven ability to lead client projects, build strong relationships, and deliver on-time results aligned with client goals.  
  • Experience designing, building and maintaining production-grade systems in cloud environments (e.g., AWS, Azure, etc.) 
  • Expertise in software engineering best practices, system design, and agile delivery methodologies 
  • Experience with version control systems (e.g., GitHub) and CI/CD processes 
  • Strong written and verbal English communication skills 

 Preferred Qualifications 

  • Experience building or deploying AI-enabled systems, including LLM-based workflows (e.g., RAG, agentic systems, fine-tuning) 
  • Experience with data-intensive systems, including ETL/ELT pipelines and analytical platforms 
  • Experience with Infrastructure as Code (e.g., Terraform) 
  • Experience with workflow orchestration (e.g., Airflow, AWS Step Functions) 
  • Strong experience with SQL and relational or analytical data systems 
  • Associate-level cloud architect certification (e.g., Azure Solutions Architect Associate, AWS Solutions Architect Associate, or equivalent) 

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