Senior Software Engineer - AI Infrastructure Performance Insights & Observability

About this kind of role

What a Senior Software Engineer - AI Infrastructure Performance Insights & Observability usually does. The employer's own details are in the listing.

Typically does: Designs, develops, and maintains software systems and tools to monitor, analyze, and improve the performance of artificial intelligence infrastructure. This includes building observability solutions, identifying bottlenecks, and implementing optimizations to ensure efficient AI model training and deployment. Responsibilities often involve collaborating with data scientists, machine learning engineers, and operations teams to address performance challenges. The role also entails contributing to the architecture and design of scalable and reliable AI infrastructure.

Tools and skills: Proficiency in programming languages like Python and Java, experience with cloud platforms (AWS, Azure, or Google Cloud), familiarity with monitoring tools (Prometheus, Grafana), and knowledge of distributed systems and performance tuning techniques are generally required.

Good fit for: Individuals with a strong background in software engineering and a passion for optimizing complex systems, particularly within the context of artificial intelligence, often thrive in this role.