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Iot Full Stack Developer Jobs in Puerto Rico (NOW HIRING)

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 ...

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 ...

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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Iot Full Stack Developer information

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

To thrive as an IoT Full Stack Developer, you need expertise in both hardware and software integration, proficiency in programming languages like Python, JavaScript, and C/C++, and a solid understanding of networking protocols. Experience with IoT platforms (such as AWS IoT or Azure IoT), database management, and familiarity with embedded systems and cloud services are typically required, along with relevant certifications. Strong problem-solving abilities, effective communication, and adaptability set top performers apart in this role. These skills are crucial for building reliable, scalable IoT solutions that bridge devices, data, and user interfaces while ensuring seamless collaboration across multidisciplinary teams.

What are some common challenges IoT Full Stack Developers face when integrating hardware and software components?

IoT Full Stack Developers often encounter challenges when bridging the gap between embedded hardware and cloud-based applications. Key issues include ensuring reliable communication between devices and servers, managing security risks across multiple layers, and handling large volumes of data generated by connected devices. Additionally, developers must coordinate with hardware engineers, firmware developers, and backend teams to ensure seamless integration and optimal performance. Adaptability and strong problem-solving skills are crucial for overcoming these technical and collaborative hurdles.

What is an IoT Full Stack Developer?

An IoT Full Stack Developer is a professional who designs, develops, and maintains both the hardware and software components of Internet of Things (IoT) systems. They work across the entire technology stack, from device firmware and embedded systems to cloud platforms, databases, and user interfaces. These developers are skilled in programming, networking, and data management, enabling the integration and communication of physical devices with digital applications. Their role is crucial in building seamless, secure, and scalable IoT solutions that collect, process, and present data to users or other systems.

What is the difference between Iot Full Stack Developer vs Iot Software Engineer?

AspectIot Full Stack DeveloperIot Software Engineer
Required SkillsFrontend & backend development, IoT protocols, cloud integrationEmbedded systems, firmware, IoT protocols, software development
Work EnvironmentCross-functional teams, full project lifecycleEmbedded hardware, firmware, software testing
Common UsageDesigning complete IoT applications, user interfacesDeveloping device firmware, embedded software

The main difference is that IoT Full Stack Developers handle both frontend and backend development for IoT solutions, focusing on user interfaces and cloud integration. IoT Software Engineers primarily work on embedded systems and firmware for IoT devices. Both roles require knowledge of IoT protocols, but their focus areas differ, with Full Stack Developers managing entire applications and Software Engineers concentrating on device-level software.

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Posted 13 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)