2027 Software Engineer Program – Full-time – Glasgow, London

Overview

As an Early Careers Software Engineer, you will contribute to high-impact technology projects in a modern engineering setting. You will build solid technical foundations while developing judgment and problem-solving skills to grow into a confident engineer. You’ll work with experienced engineers to deliver quality solutions and pursue structured learning and career growth. This two-year program emphasizes mentorship, hands-on projects, and opportunities to contribute to meaningful technology outcomes.

Pay / Benefits

• Structured two-year development program
• Mentorship and hands-on project work
• Global exposure
• Career growth opportunities
• Inclusive, collaborative culture
• Access to technology investments

Responsibilities

• Design, develop, test, and troubleshoot software solutions
• Communicate clearly to articulate problems, document solutions, and guide AI-assisted development outputs
• Collaborate with engineers, managers, and stakeholders to understand problems and deliver reliable solutions
• Leverage approved AI development tools to improve code quality and productivity, with peer review, automated testing, and secure coding practices
• Apply automation and modern tooling across the SDLC, including AI-enabled capabilities, to improve delivery efficiency and reliability
• Participate in programs like Force for Good to contribute technology solutions for social impact initiatives

Key requirements

• Pursuing a Bachelor’s degree or 4th-year Master’s with expected graduation between Jan 2027 and Sep 2027
• Streams/specializations in Computer Science, Information Science, Information Technology, Data Science, AI, Big Data or related field
• Oral and written fluency in English
• Experience designing, developing, testing, and troubleshooting software as part of an engineering team
• Proficiency writing secure, high-quality code in at least one programming language
• Apply automation and modern tooling to reduce manual effort across the SDLC
• Use AI development tools with review and validation
• Critically evaluate AI-generated outputs and ensure solution quality and security
• Strong written and verbal communication for cross-team collaboration

• Strong written and verbal communication
• Collaboration across teams
• Curiosity about emerging technologies
• Proficiency in at least one programming language
• Secure coding practices
• Automation and tooling across the SDLC

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