Description

In this role, you will take charge of developing data orchestration pipelines and building robust Python applications. You will collaborate with data scientists, mentor fellow developers, and ensure the smooth operation of ML applications while shaping the team's technical direction.

Requirements

• •Strong proficiency with Python
• •Experience owning projects from start to finish
• •Strong skills in building maintainable tests
• •Strong experience with observability and tracing
• •Knowledge of best practices for performance optimisation
• •Familiarity with Kubernetes, Docker, and cloud infrastructure
• •Strong analytical and troubleshooting skills
• •Drive to continually develop skills and improve processes
• •Fluency in English and effective communication skills
• •Experience as a founding/early member of an Engineering team
• •Experience in a fast-growing Scale-up environment
• •Experience with GCP

Tasks

• •Own and support the development of the data orchestration and processing pipeline
• •Build resilient and robust Python applications that integrate with other services
• •Mentor others to enhance developer experience by writing intuitive and testable code
• •Develop observability for ML applications and GenAI/LLM integrations using the Grafana Stack
• •Create integrations and services that communicate with Google Services
• •Collaborate with Data Scientists and ML Engineers to productionize models
• •Respond to incidents related to ML applications, triaging and resolving CPU, memory, and GPU issues
• •Document procedures and guides to facilitate knowledge sharing among engineers
• •Participate in hiring and onboarding new team members
• •Manage end-to-end project responsibilities as the team grows

Tools & Technologies

Benefits