Software Engineer Team Lead

Background

Agilio Software Group is a leading UK healthcare operations software provider, delivering integrated, mission-critical solutions that support primary care, dental, pharmacy, hospital, and veterinary organisations. We have ambitious and exciting growth plans and are looking for talented individuals to be part of our journey. iLearn is our learning and compliance platform, supporting healthcare organisations to meet regulatory requirements, maintain workforce competence, and deliver high-quality patient care.

The Role

As a Lead Software Engineer, you will drive technical direction and product delivery for the iLearn platform - coming in with energy, opinions, and the ability to move fast. You'll lead a cross-functional engineering team, shape our AI strategy, and work closely with Product to define what we build next. You'll combine hands-on technical expertise with people leadership, designing and building scalable, secure, cloud-based solutions that directly support our business objectives.

AI is a central theme for us right now. You'll play a leading role in identifying, shaping, and delivering AI-powered features within iLearn, and using AI tooling to accelerate how the team builds and ships software day to day - all working closely with Product to turn emerging capabilities into real user value.

Key Responsibilities

• Lead a cross-functional engineering team delivering features and improvements for iLearn - driving pace, quality, and technical direction from design through to deployment and support.
• Provide line management and pastoral care for a small team of software engineers, supporting performance, wellbeing, and professional development.
• Take technical ownership of the design, development, and maintenance of full stack applications and services underpinning iLearn.
• Partner closely with Product to shape the roadmap - contributing technical insight early, challenging assumptions, and ensuring AI and engineering capabilities inform what gets built.
• Lead the evaluation, prototyping, and responsible integration of AI and machine learning capabilities into iLearn, including LLM-based features, intelligent automation, and data-driven tooling.
• Contribute to planning, estimation, scheduling, and resourcing, helping to deliver work predictably and efficiently.
• Communicate technical designs, risks, and progress clearly to senior stakeholders and non-technical audiences.
• Apply a deep understanding of modern software design patterns and engineering best practices, ensuring solutions are scalable, maintainable, and fit for purpose.
• Champion and implement automated testing across functional, acceptance, performance, and security domains to ensure quality is built in from the outset.
• Work closely with platform, product, and operations teams to ensure systems are observable, resilient, operationally sound, and secure.
• Design and develop cloud deployable services, continuously improving application architecture and infrastructure where appropriate.
• Act as a technical authority, leading design discussions, reviewing and approving code, and diagnosing and resolving complex issues.
• Build, maintain, and improve CI/CD pipelines to support reliable, automated deployment of products and services.
• Promote a strong engineering culture, encouraging best practice, collaboration, and continuous improvement across the team.
• Share knowledge and emerging technical insights - particularly around AI developments - with the wider engineering community and mentor junior engineers to support their growth.
• Support the growth of the team by participating in recruitment and onboarding of new engineers.
• Maintain clear and appropriate technical documentation to support long-term maintainability and knowledge sharing.