Associate Application Developer - Business

Introduction

IBM Consulting Client Innovation Centers (CICs) are high-delivery, team-based environments where technologists work onsite to build real solutions for real clients.

The Associate Application Developer at IBM is an entry-level role focused on contributing to the development, testing, and support of application components within larger systems.

This role is not about knowing everything on day one. It is about having strong computer science fundamentals, demonstrated coding ability, and the curiosity and discipline to learn modern technologies in a professional delivery setting. Associates are expected to contribute to established delivery teams and take on greater responsibility as their skills and experience develop.

• Write, test, and debug application code with guidance from senior developers
• Contribute to application features, services, or integrations within an established system architecture
• Participate in Agile delivery activities such as stand‑ups, sprint planning, and retrospectives
• Collaborate with teammates to understand requirements and help implement technical solutions
• Apply secure coding, quality, and performance best practices
• Use version control and development tools to deliver code in a team-based environment
• Continue building technical and professional skills through training, mentorship, and hands‑on delivery experience

This role is based in an IBM Client Innovation Center (CIC) and requires regular onsite presence at the assigned delivery center. Working onsite enables hands‑on learning, real‑time collaboration, and mentorship that support faster growth and stronger delivery outcomes.

Travel may be required for up to 60% of the time or 3 days per week (home on weekends), based on project requirements.

• IBM will not provide visa sponsorship for this position. Candidates must be eligible to work in the U.S. without current or future sponsorship requirements.

• Bachelor’s degree or equivalent practical experience in Computer Science, Engineering, or a related technical field (Candidates with other degrees will be considered if they demonstrate equivalent technical skills.)

Master’s Degree

These qualifications are essential for success in the role.

• Strong understanding of computer science fundamentals, including:
  • Object‑oriented programming concepts
  • Data structures
  • Algorithms
• Demonstrated ability to write and debug code in at least one primary programming language, such as Java, C#, Python, or JavaScript/Type Script

• Hands‑on coding experience through coursework, academic projects, internships, labs, or personal projects
• Familiarity with core software development concepts such as debugging, testing, and version control

• Additional exposure to other languages, frameworks, or tools (e.g., Scala, SQL, Angular, React, or similar) through coursework or projects
• Ability to apply core programming concepts across different languages and environments

• Exposure through coursework or projects to web development concepts, APIs, or application frameworks (e.g., RESTful services, Spring Boot, .NET Core, Flask/Django, Node.js, or similar)
• Exposure to cloud computing concepts—such as deploying, hosting, or integrating applications—on platforms such as AWS, Azure, Google Cloud, or IBM Cloud, through coursework, labs, or self‑study

• Ability to translate business or functional requirements into technical solutions, with guidance from senior team members
• Comfortable working onsite in a collaborative, team-based environment
• Strong willingness to learn, accept feedback, and continuously improve

• Experience working across both frontend and backend components in academic or project-based environments
• Familiarity with Agile or Scrum team practices
• Exposure to databases such as MySQL, Postgre
  
  SQL, SQL Server, Oracle, DB2, or MongoDB
• Exposure to analytics or data tools such as SPSS, SAS, Tableau, Hadoop, or Spark, depending on practice needs
• Experience collaborating with others on team‑based software projects

• Familiarity with generative AI concepts, including basic modeling approaches, responsible use, and ethical considerations, gained through coursework, projects, or self‑study