Intern Front End Web Developer Jobs in Boca Raton, FL

As a Front End Engineer (full stack engineers welcome), you will play a pivotal role in supporting tech leadership by participating in the design, development, and testing of software, creating user interactions and wireframes for web applications. You will participate in the UX and UI design of key ML initiatives, ensuring their successful integration into SynthBee's infrastructure and applications. This role requires a strong foundation in agile software system development and front-end and familiarity with back-end development, ensuring reliability, and aligning systems with business goals. You'll collaborate with cross-functional teams to drive innovation and support the seamless operation of ML-powered applications.

At SynthBee we're building Collaborative Intelligence™ maximising the potential of people and computers working together. CI™ will help humans solve the most important scientific, engineering, design, and creative challenges of our time. And create joy in the process.

Software Development

Experience building and advocating strong CI/CD strategies including deployment automation, testing strategies, automation tools, and processes meant to improve the software development lifecycle. Assist in the design, and architecture of new software solutions to fulfill project requirements.

Continuous Integration Systems

Runs and operates continuous integration systems like GitHub, Jenkins, CircleCI, Azure DevOps, AWS CodePipeline, and others.

Performance Testing

Design testing strategy in partnership with cross-functional partners to monitor performance and ensure robust and secure deployment practices to enhance system reliability and scalability.

Collaboration and Alignment

Partner with the VP of Software Systems and other engineering teams to develop ML systems that align with business objectives and user needs. Facilitate cross-functional collaboration to ensure the successful delivery of ML initiatives.

Documentation and Knowledge Sharing

Develop and maintain detailed documentation for ML systems, pipelines, and processes to ensure reproducibility and clarity. Contribute to the team's technical growth by sharing insights, providing mentorship to junior team members, and fostering a collaborative environment.

Continuous Learning and Innovation

Stay updated on front-end and back end web application technologies and frameworks, databases, and other technological tools.

Risk and Compliance Management

Ensure ML systems comply with security and regulatory standards, particularly in handling sensitive data and critical applications.

• Understand and demonstrate ability to write efficient and sometimes data selection queries. Understand and use code repositories (Git).
• Experience building products across the stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages.
• Familiarity with cloud environments (AWS, GCP, or Azure) and containerization technologies like Docker and Kubernetes.

• At least one year experience in building large-scale software applications.
• Familiarity with databases such as MySQL, MongoDB, web servers such as Apache and UI/UX design.
• Comfortable with front-end coding using React and other web languages (JS, CSS, HTML) and back-end coding technology (including Java, Python, SQL, etc) and familiar with typical design tools like Figma or Adobe Illustrator.
• Strong debugging, problem-solving, and performance optimization skills for complex systems.

• Ability to manage and execute large-scale, cross-functional projects independently or as part of a team.
• Excellent communication skills to convey complex technical concepts to both technical and non-technical stakeholders.
• Ability to develop new features and infrastructure in support of rapidly emerging business and project requirements.
• Ensure application performance, uptime, and scale, and maintain high standards for code quality and application design.
• Extensive experience working with structured and unstructured data in large-scale, noisy datasets.