Senior Data SRE Engineer (AI/ML & Substrate Platform)

About this kind of role

What a Senior Data SRE Engineer (AI/ML & Substrate Platform) usually does. The employer's own details are in the listing.

Typically does: This role focuses on the reliability, performance, and scalability of data infrastructure supporting artificial intelligence and machine learning workloads. Responsibilities include automating operational tasks, building monitoring and alerting systems, and responding to incidents to minimize disruption. The engineer will collaborate with data scientists, machine learning engineers, and platform teams to ensure data pipelines and models are robust and efficient. They also contribute to the design and implementation of infrastructure improvements.

Tools and skills: Proficiency in programming languages like Python, experience with cloud platforms (e.g., AWS, GCP, Azure), and familiarity with containerization technologies (e.g., Docker, Kubernetes) are generally required, alongside expertise in monitoring tools and infrastructure-as-code practices.

Good fit for: Individuals with a strong background in both data engineering and site reliability engineering, and a passion for building and maintaining highly available systems, typically thrive in this position.