Build production features for products such as procurement automation, teacher-facing AI tools, learning assistants, and evaluation/monitoring platforms.
Define and operationalize service health indicators, SLIs, SLOs, and related reliability metrics that help teams make informed tradeoffs between reliability, velocity, and cost
Partner with the design team to build our design system and common component libraries, benchmarking against industry standards like Material UI and Ant Design.
Cross-Team Collaboration: Act as a technical focal point between AI researchers, software engineers, and business stakeholders to turn complex requirements into workable prototypes.
Explore and implement Artificial Intelligence-assisted capabilities, where appropriate, to analyse documents and evidence, identify potential control gaps and improve the efficiency and consistency of second-line checks, with appropriate human oversight.
Cloud Infrastructure & DevOps: Ensure the resilience and scalability of our mission-critical applications by managing CI/CD pipelines, containerization (Docker/Kubernetes), and cloud-native services to guarantee seamless uptime under pressure.
Conducting thorough and constructive code reviews — ensuring code quality, consistency, readability, and adherence to team standards across every pull request.