Atlantbh Internship Programs (Remote)

The Atlantbh Internship will be organized remotely with opportunities for in-office visits. Interns will engage in various programs including:

Software Development (2 interns)

Interns will develop a full-stack application using modern technologies, including:

• Backend: RESTful web services with Java and Spring Boot.
• Frontend: React or Angular.
• Additional concepts: Git, Jenkins, Maven, AWS, JUnit, design patterns, MVC, and CI/CD.
• Databases: PostgreSQL and external APIs.

Interns will also learn from experienced Software Engineers through workshops and mentorship.

Quality Assurance (2 interns)

Interns will learn to validate web applications by:

• Designing and creating test plans.
• Developing and executing test cases.
• Understanding testing methodologies (Smoke, Regression, API tests).
• Collaborating with the development team using Scrum and Agile methodologies.

Two separate QA programs are available:

• JS Internship: JavaScript, Playwright, Axios, Git, Postman, Jenkins.
• Python Internship: Python, Playwright, Pytest, Git, Postman, Jenkins.

DevOps (1 intern)

Interns will expand their knowledge of:

• Linux filesystem and Bash scripting.
• CI/CD, containerization, orchestration, infrastructure management, monitoring, and networking.
• Packaging software in Docker images, deploying Docker containers on Kubernetes, and integrating frontend/backend apps with databases.
• Writing CI/CD pipelines, automating builds and deployments, managing Kubernetes infrastructure, and basic information security principles.

UX/UI Design (1 intern)

Interns will learn to create user-centered designs for web applications, including:

• User research, wireframing, prototyping, and user testing.
• Using Figma for design mockups.
• Collaborating with development teams.

Note: Applicants must include a portfolio with their application.

Product Management (1 intern)

Interns will gain practical experience in:

• Defining product requirements.
• Communicating with stakeholders and development teams.
• Using Agile methodologies and tools like Trello and Jira.

Machine Learning (1 intern)

Interns will learn the entire ML lifecycle, from data processing to model deployment, with a focus on:

• Natural Language Processing (NLP), including tokenization, transformer architectures, and fine-tuning pre-trained models.
• Tasks like sentiment analysis, summarization, and named entity recognition.