Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development.
Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability.
Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers.
Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs.
Embed robust security controls to protect sensitive data and ensure secure access to AI services.
Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence.
Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation.

Extensive experience in software engineering, preferably in platform or cloud-native service development, ideally using Microsoft and .NET technologies.
Strong expertise in RESTful API design, versioning, testing, and lifecycle management.
Proficient in securing APIs, managing authentication/authorization and data privacy practices.
Hands-on experience architecting and deploying scalable cloud-native services using PaaS, Docker, and Kubernetes to manage complex, containerized AI workloads.
Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions.

Senior Software Engineer – AI Platform, Cloud Services

Key skills