Graduate Technologist (Birmingham) - September 2027 Start Date

As a Graduate/Trainee Technologist with Kainos, you’ll work on projects that make a real difference to people’s lives.

You’ll start your journey with our AI-first Technologist Academy, building foundations in modern engineering practices, cloud platforms, quality assurance, low-code development, cyber security, and data & AI. After the academy, you’ll join our Early Careers Programme for hands-on experience across different roles, supported by mentors and real project work. You will also continue to develop your technical, professional, and business skills.

At Kainos, we operate in a fast-moving, dynamic environment, so adaptability, curiosity, and a willingness to learn are key. You’ll have the opportunity to work across different teams, projects, and business units, developing the skills to become one of our future technical leaders.

What You’ll Experience

• Software Engineering: Design, build, and maintain high-quality software solutions using modern programming languages and frameworks. Work on scalable, secure applications.
• Test / QA Engineering: Develop skills in automated and manual testing, ensuring the quality and reliability of solutions. Embed quality into every stage of the development lifecycle.
• Data & AI: Explore how data and AI can transform services, from building data pipelines to applying machine learning and generative AI.
• Low Code: Use low-code platforms to rapidly deliver business solutions, combining speed with maintainability and integration best practices.
• Platforms: Gain experience in cloud infrastructure, DevOps, and automation, ensuring solutions are secure, scalable, and performant.
• Cyber Security: Learn to build systems protected against the latest Cyber & AI security threats and understand how attackers compromise applications.

Upon Completion

You’ll graduate from the Early Careers Programme with a broad technical foundation and the skills to shape our future. Many of our leaders started their careers this way.

Responsibilities

• Contribute to technology solutions that deliver measurable value for customers and users.
• Contribute to the specification, validation, implementation, and operation of technology solutions, gradually taking ownership of more complex work.
• Collaborate with team members to understand problems, define requirements, challenge assumptions, and contribute to solution design and delivery.
• Learn to use AI-assisted tools responsibly to improve quality, productivity, and confidence, while maintaining accountability for delivery outcomes.
• Develop breadth across multiple delivery disciplines (software engineering, QA, platforms, data, cyber security, low-code) while building deeper expertise.
• Seek feedback and continuously improve your knowledge and skills.

Minimum Essential Requirements

• Currently studying towards, or obtained within the last 2 years, at least a Level 6 bachelor’s degree in a relevant subject.
• Unconditional right to work in the UK and eligible for UK Security Clearance.
• Familiarity with one or more technology domains (software development, data, testing, cloud platforms, cyber security, low-code) gained through study, projects, or practical experience.
• Understanding of how technology solutions are designed, built, tested, deployed, and supported.
• Curiosity and willingness to learn new technologies, tools, and ways of working, including AI-assisted delivery approaches.
• Ability to analyse problems, challenge assumptions, identify key information, and work with others to develop effective solutions.
• Experience using AI-assisted tools to support learning, creativity, or problem-solving.
• Ability to communicate clearly and effectively with both technical and non-technical audiences.
• Ability to work effectively as part of a team, seek feedback, share knowledge, and contribute positively.
• Exposure to source control, continuous integration, data processing, cyber security practices, or cloud platforms.

Desirable

• Participation in technology-related activities such as hackathons, competitions, clubs, community initiatives, or open-source projects.

Working Arrangements

• Academy: Expected to work in the contracted office 5 days per week for the duration of the AI-First Technologist Academy.
• Post-Academy: Hybrid model with 3 office days each week. Availability to attend the office or client sites when required.

Application Information

• Apply early as the role may close earlier than the advertised deadline if a high volume of applications is received.
• The application process is two parts: completing a questionnaire and uploading your CV. Apply directly via the Kainos Careers website.

Timelines

• Closing Date: Friday 23rd October 2026
• Assessment Centre: W/C Monday 16th – Wednesday 25th November 2026
• Outcomes Communicated: W/C Monday 30th November 2026
• Start Date: September 2027