Staff/Lead Python Engineer/MLOps (async)

Strong proficiency with Python and Backend-Engineering. Experience owning projects from start to finish, including speccing, architecture, development, testing, deployment, release and monitoring. Strong skills in building maintainable tests, observability and tracing systems. Knowledge of best practices for performance optimisation, memory management. Familiarity with Kubernetes, Docker and other cloud infrastructure, ops and containerised tools. Strong analytical and troubleshooting skills. Drive to continually develop your skills, improve team processes and reduce technical debt. Fluency in English and ability to effectively communicate abstract ideas, complex concepts and trade-offs.

Own and support the development of our data orchestration and processing pipeline. Build apps and core components of our ML systems. Deliver new AI features and drive improvements to our infrastructure and services. Develop observability for new and existing ML applications and GenAI/LLM integrations. Develop integrations and services that communicate with Google Services. Work closely with Data Scientists and ML Engineers throughout the lifecycle of productionising their models. Be responsive to incidents regarding ML applications. Documenting procedures and guides to facilitate knowledge sharing. Participating in hiring and onboarding new team members. Taking on end-to-end project management responsibilities.