Client Technology - Software Engineering

EY is a global leader in assurance, consulting, tax, strategy and transactions, committed to building a better working world. They are seeking a Client Technology - Software Engineer to lead the delivery of solution or infrastructure development services, ensuring compliance with standards and understanding business requirements.

Responsibilities:

• Solves complex and escalated aspects of a project, performing coding, debugging, testing and troubleshooting throughout the development process
• Provides advanced technical expertise to maximize efficiency, reliability and value from current solutions, infrastructure and emerging technologies, showing technical leadership and identifying and implementing continuous improvement plans
• Develops strong working relationships with peers across Development & Engineering and Architecture teams, collaborating to develop and engineer leading solutions
• Provides a leadership role for the work group, ensuring the appropriate expectations, principles, structures, tools and responsibilities are in place to deliver the project
• Drives consistency to the relevant processes, procedures, standards, technical design whilst supporting the definition, maintenance and implementation of technology standard

Requirements:

• Advanced technical proficiency in designing, developing, and debugging solutions
• Advanced knowledge of one or more of: C#/Java or Python
• Bachelor's degree in computer science, Engineering, IT, Mathematics, or related field preferred
• More than 10 years applied experience
• Significant relevant experience in either an internal or external software or platform engineering role, or similar
• Technical knowledge and experience in delivering software / platform engineering solutions (depending on specialism), providing comprehensive technical advice and handling user requirements
• CI/CD delivery using code management, configuration management and automation tools such as GitHub, ADO
• Proficiency in fine-tuning language models for specific tasks, including text generation, summarization, or question answering
• Knowledge of embedding models and their application in NLP tasks like similarity matching, clustering, and information retrieval
• Familiarity with designing and implementing agentic systems that combine AI models with external tools or environments for autonomous decision-making
• Ability to design robust evaluation frameworks for AI models and agents, including metrics development, A/B testing, and performance benchmarking
• Microsoft/Google/AWS certificates
• Delivery using modern methodologies
• Significant proven experience in building application using container-orchestration systems like Kubernetes, and container engines like Docker