Software Engineer

As a Software Engineer at Genio, you'll be part of a multi-disciplinary, talented team, collaborating to create innovative software solutions that empower our users. You'll be responsible for crafting clean, efficient, and maintainable code, integrating components, and ensuring the quality and reliability of our products. You’ll also pride yourself on following our

What you’ll be doing

• Develop and Deliver: Write clean, efficient, and maintainable code. Test, and deploy software releases. Integrate software components and third-party programs.
• Culture of quality: Maintain a focus of quality and testability of delivered solutions alongside creating technical documentation.
• Problem-Solve and Innovate: Troubleshoot issues, identify improvement opportunities, and implement technical solutions. Learn about our here.
• Collaborate and Learn: Work closely with cross-functional teams, share knowledge, and continuously develop your skills. You can find out more about the recent Engineering away day
• Mentor and Lead: Guide and support junior engineers, fostering a positive and collaborative team culture.
• Fostering Trust: Maintain a collaborative and respectful team environment - Assume we are all well intentioned and want the best for Genio. Learn more about maximising team value

About you:

• Strong programming skills (object oriented and/ or functional).
• Front end technologies (we mainly use TypeScript and React).
• Back end technologies (we use Kotlin).
• Mobile technologies (we use web-based hybrid apps powered by Capacitor.).
• Persistence (mainly SQL, specifically PostgreSQL, some NoSQL).
• Knowledge of best practices in automated testing, continuous integration, automated deployment, code quality etc.
• Strong communication skills, with "passionate views, loosely held" – articulate ideas clearly but remain open to other perspectives.
• Willingness to learn, develop new skills, and adopt a flexible, team-oriented mindset.
• Openness to leverage AI tools (e.g., code assistants, automated analysis, workflow agents) to enhance development velocity, code quality, and problem-solving effectiveness.

Not every one of the above is essential, but hopefully it gives an idea of what we find useful day to day.