Associate Full Stack Developer 2027
IBM
About the Role
- Collaborate with global clients on projects in digital transformation, cloud strategy, AI adoption, and process redesign.
- Contribute to a global cohort of diverse, ambitious peers.
- Access to industry-recognized certifications, digital badges, and a minimum of 40 hours of structured learning per year.
- Participate in internal mobility for exploring new technologies, industries, and career paths.
- Anticipated start date: 2027.
- Location: Chicago.
Your Role And Responsibilities
- Co-create solutions to real-world challenges using best practice technologies, tools, techniques, and products.
- Translate system requirements into the design and development of customized systems.
- Work across the entire system architecture to design, develop, and support high quality, scalable products and interfaces.
- Collaborate with cross-functional teams to understand requirements and define technical specifications for generative AI projects.
- Employ IBM's Design Thinking to create products with great user experience, high performance, security, quality, and stability.
- Work with a variety of relational databases (SQL, Postgres, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React, Ember.js, Bootstrap, and JQuery).
- Create mockups, UI components, algorithms, and data structures to deliver a viable product.
- Opportunity to work with technologies and partners including AWS, Microsoft, Databricks, ServiceNow, Oracle, and Adobe.
Requirements & Tech Stack
- Demonstrated programming proficiency and experience with 1 of the following: Java, C++, Python, Scala, R, SAS, SQL, Hadoop, HTML, SPSS, VBA, Tableau, Spark, Angular, ReactJS.
- Experience with systems design/development and information technology coursework.
- Exposure to web services, API, and Java application frameworks such as Springboot.
- Ability to translate business requirements into a technical solution.
- Exposure to web application development concepts and frameworks, including front-end and/or back-end development.
- Familiarity with generative AI modeling, ethics, and methodologies.
- Familiarity with Microservices architecture, infrastructure concepts, and cloud platforms: AWS, Azure, IBM Cloud, and Google Cloud.
- Foundational programming exposure in at least one of: .NET/ASP.NET, C#, Java, Python, or JavaScript/TypeScript.
- Exposure to a technical understanding of modern software development patterns.
- Willingness to travel up to 100%.
Qualifications
- Preferred Majors: MIS, CS, Finance, Accounting, Business Analytics, Supply Chain, Industrial Engineering, Human Resources, Data Science, Artificial Intelligence, Computer Science, Economics, User experience design, Web development.
- Flexibility to work across architecture, building both front-end and back-end.
- Exposure to cloud and AI concepts such as Azure services, data platforms, security, and AI models through coursework, labs, internships, or personal projects, with a willingness to keep learning.
- Experience using tools like Copilot, ChatGPT, or similar AI assistants to research, write, analyze, and improve productivity, while applying critical thinking and validation.