Staff/Lead Python Engineer/MLOps, Mimica

• 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 – methodically decomposing systems to identify bottlenecks, determine root causes, and implement effective solutions
• 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

Desirable

• In this role, you will own and support the development of our data processing pipeline
• You will build pipelines and core components of our ML systems, deliver new AI features and drive improvements to our infrastructure and services
• You will join the Data Intelligence Team, whose goal is to provide ML-enriched data for downstream tasks and ensure user data privacy. You‘ll have the opportunity to shape our technical direction, architecture processes and culture
• Write Python applications that are resilient, robust, and integrate well with other apps in a service architecture
• Furthering Developer Experience (DevEx) by mentoring others in writing code that is intuitive, clear, and easy to test
• Developing observability for new and existing ML applications and GenAI/LLM integrations, making use of the Grafana Stack (Prometheus, Loki, Tempo)
• Develop integrations and services that communicate with Google Services
• Working closely with Data Scientists and ML Engineers throughout the lifecycle of productionising their models
• Being responsive to incidents regarding ML applications - including an understanding of how to triage and resolve issues relating to CPU, memory, and GPU utilisation
• Documenting procedures and guides to facilitate knowledge sharing and help other engineers level up through pairing and mentoring
• Participating in hiring and onboarding new team members; taking on end-to-end project management responsibilities as we grow