About The Position

As an intern in our AWS practice, you'll focus on learning and contributing to cloud-native application development, enterprise system modernization, automation, and scalable solutions using Amazon Web Services. You don't need experience with every technology listed. Many interns join IBM with a foundation in computer science, software engineering, or related technical disciplines and develop specialized expertise through mentorship, structured learning, certifications, hands-on projects, and AI-enabled tools. Throughout your internship, you'll gain exposure to software engineering, cloud technologies, Artificial Intelligence (AI), DevOps, Agile, and enterprise application development, while working with experienced engineers, architects, and technology professionals on real client projects across multiple industries. We're not looking for experts; we hire for potential, curiosity, and a passion for learning. High-performing interns may be considered for full-time Associate opportunities following graduation, based on business needs and individual performance.

Requirements

  • Currently pursuing a Bachelor's degree in Computer Science, Software Engineering, Information Systems, Computer Engineering, or a related technical field.
  • Interest in software development, application engineering, cloud technologies, Artificial Intelligence, automation, or digital transformation.
  • Basic understanding of programming concepts and experience with at least one programming language such as Java, Python, JavaScript, C#, C++, or similar technologies.
  • Basic understanding of software development principles, object-oriented programming, algorithms, data structures, databases, APIs, and problem-solving concepts.
  • Exposure to software development, web development, cloud technologies, databases, or technical problem-solving through coursework, academic projects, hackathons, student organizations, research, open-source contributions, or personal learning.
  • Awareness of emerging technologies, including Artificial Intelligence, cloud computing, automation, cybersecurity, and modern software engineering practices.
  • Experience gained through academic projects, internships, hackathons, student organizations, research, volunteer experiences, IBM SkillsBuild, certifications, or other practical learning opportunities.
  • You don't need to be an expert to get started. We're looking for individuals with a strong foundation, a growth mindset, and a desire to learn and make an impact.

Nice To Haves

  • Exposure to software development, cloud technologies, web applications, enterprise platforms, or modern application development through coursework, student projects, hackathons, research, open-source contributions, or internship experiences.
  • Familiarity with Git, APIs, databases, Agile development, DevOps concepts, cloud platforms, user interface frameworks, or software engineering best practices.
  • Interest in Artificial Intelligence, cloud computing, automation, enterprise application development, consulting, and continuous learning.
  • Ability to collaborate effectively with teammates while supporting application modernization and digital transformation initiatives.

Responsibilities

  • Collaborate Across Teams: Learn from and work with cross-functional teams to understand requirements and support technical solution discussions and project delivery.
  • Support Solution Design & Documentation: Learn by contributing to technical documentation and participating in design discussions under the guidance of experienced team members.
  • Contribute to High-Quality Software: Develop your skills by contributing code, participating in code reviews, and applying software quality practices with guidance from experienced developers.
  • Develop AWS Cloud Applications: Gain hands-on experience by contributing to cloud-native and full-stack applications on Amazon Web Services, using technologies such as databases, operating systems, AWS cloud services, and modern UI frameworks while learning about user experience, performance, security, and quality.
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