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This is a dynamic opportunity for graduates to kick-start a career in Quality Engineering, working at the intersection of technology, usability, and inclusive design. You will be working with high-performing teams on a variety of projects, from large-scale transformation programs to custom solution development, collaborating with senior consultants and multi-disciplinary teams to help build digital services that work for everyone. After completing training, you will join a project as part of a larger team, receiving hands-on support from senior consultants across different practices. You will typically be involved in all stages of the development lifecycle, with further opportunities to explore development, DevOps and data within the first two years. This diverse experience will lay a strong foundation for building a successful career as a technologist.
Job Responsibility:
Working as part of Agile teams, collaborating on requirements, development, and testing
Testing features through automated and manual testing
Being part of a larger team, working and learning from senior QA engineers
Working closely with clients to understand their requirements and working within the team whilst on client site
Regular communication with both internal and external stakeholders
Documenting the work you have done to support others in the team and as case studies
Helping with internal projects and Quality Engineering practice development
Requirements:
Strong degree in any discipline, or equivalent experience
Ability to demonstrate a genuine interest in technology
Some experience in software development, using Python, Java or .NET (or related technologies)
Awareness and familiarity of testing within the software development lifecycle
Excellent communication skills, both written and spoken word with an ability to successfully engage with team members and clients
Problem solving and analytical skills
Willingness to continually learn
An interest in future technologies
Nice to have:
Understanding of Agile methodology
Understanding of HTML, CSS, Javascript and manual accessibility testing tools (e.g. NVDA, JAWS, VoiceOver)