Experienced Site Reliability Engineer

Required Experienced Site Reliability Engineer
AI Engineering's ML-Platform team goal, is to deliver a modern infrastructure and solutions to enhance our Algorithm development life cycle and shorten our delivery times. We are an independent group, consisting of excellent and experienced engineers with diverse skills in algorithms, software, and infrastructure. We strive to implement a DevOps culture allowing our engineers to easily collaborate on large-scale products. We develop cross-company products that enable the research and deployment of state-of-the-art algorithms.
What will your job look like?
Were looking for a Site Reliability Engineer (SRE) to design, build, and operate the infrastructure powering machine learning development.
You will work on large-scale, distributed Kubernetes cluster, both on-prem and in the cloud, collaborating with IT, cloud engineering, and algorithmic teams.
Owning and evolving our infrastructure-as-code (IaC).
Driving reliability, monitoring, and observability best practices.
Pushing software and hardware integration to its limits to maximize system performance.
Automating and scaling ML workflows with a reliability-first mindset.
Partnering with researchers and developers to improve performance, resilience, and delivery speed.
Participating in incident response, root cause analysis, and postmortems to continuously raise the bar.
This role is ideal for someone who thrives on solving complex infrastructure challenges and enjoys collaborating across disciplines to deliver impact.