Required Experience & Skills
· Frontend Development: Strong proficiency with ASP.NET MVC, including performance optimisation and component architecture OR working knowledge with focus on backend specialisation
· Backend Development: Strong proficiency with .NET Core, C#/VB.NET , ASP.NET Core Web APIs, REST, application architectures, and distributed systems
· Database Systems and Data Architecture: Strong knowledge of SQL, NoSQL, CosmoDB and data architecture decisions.
· AI-Assisted Software Engineering: Experience with integrating AI tools (Cursor, Copilot, Devin, Claude Code, etc.) in engineering practices to accelerate design, development, testing and debugging. Using them critically and responsibly to improve quality, productivity and decision-making.
· Observability: Advanced DataDog, Application Insights or Amazon CloudWatch implementation with performance tuning and cost optimisation
· Infrastructure as Code: Infrastructure as Code with either Terraform, Bicep, ARM Templates or AWS CloudFormation/CDK
· CI/CD Design: Design comprehensive CI/CD architectures for team deliverables, establish deployment strategies, and optimise pipeline performance for team efficiency
· Cloud Architecture: Strong proficiency in SaaS using Azure (Functions, Queue, Blob Storage, VMs, etc) or AWS (Lambda, SQS/SNS, EC2, etc.) services, infrastructure design, and performance tuning
· Container Orchestration: Strong containerisation (e.g. Docker) or Kubernetes (AKS/EKS) experience with production-scale deployments
· Architecture Expertise: Expertise in clean architecture principles, SOLID design patterns, and domain-driven design
· Quality & Testing: Drive TDD/BDD adoption in team testing strategy and quality governance, and implement comprehensive automated testing with continuous improvement
· Scalable Solutions: Experience with highly scalable solutions and internet-facing traffic levels
· Performance & Scalability: Profiling and benchmarking applications.
· Application Security: Confident vulnerability management, thread modelling and tracking
· Production Support: Knowledge of observability and production support practices. Proficient in debugging complex issues, performance optimization, and production troubleshooting
· 5-7 years of professional software development experience
· Proven ability in delivering complex, multi-system solutions
· Experience working with highly scalable, internet-facing solutions serving millions of users
· Demonstrated technical leadership through architecture decisions, technical mentoring, and cross-team collaboration
· Track record of driving technical excellence, establishing standards, and influencing technology choices
· Active mentoring experience with junior and mid-level engineers
· Experience leading technical initiatives that span multiple sprints or quarters
· Strong analysis and problem-solving skills for troubleshooting technical issues
· Excellent verbal and written communication skills with ability to explain technical concepts to non-technical stakeholders
· Technical leadership and influencing skills without formal authority
· Ability to utilise technical skills to develop and coach others through mentoring and knowledge sharing
· Collaborative approach and ability to work as part of wider Engineering and QA teams
· Conflict resolution skills for technical disagreements and cross-team coordination
· Learning mindset with ability to adapt to new industry trends