AI First - Devops Engineer

We're looking for a DevOps Engineer to power the reliability, security, and efficiency of the world's most impactful weather platform. You'll build self-service platforms that give developers and weather scientists true independence, weave AI into how we operate, and work side-by-side with R&D to push performance and scale further. You'll evolve our cloud infrastructure to match the pace of the business, hold the line on cost, and stay close to production through on-call.

The people who thrive here bring a product mindset, take ownership without waiting to be asked, and leave the people and systems around them better than they found them.As a DevOps Engineer, You'll:Develop and adopt AI-powered tools to make Development and Operations processes more efficientCollaborate with developers and weather scientists to optimize service performance, reliability, scale, security, and costEvolve and maintain adaptive cloud infrastructure to support our business strategy and enable smooth growth at scaleBuild self-service platforms for scientists and developers to work independentlyIntroduce and integrate MLOps practices for GPU-based model deployment on KubernetesMaintain Production availability by participating in DevOps on-call shifts.Requirements: At least 4 years of experience as a DevOps/SRE Engineer in a Linux environment, experienced with AWS, GCP, or Azure and IaC, such as Terraform or CrossplaneExperience with CI/CD tools and deployment methodologies in KubernetesStrong sense of ownership and accountability for service reliabilityComfort with AI-powered development tools and willingness to experiment with new technologies and methodsExperience implementing and customizing monitoring systems (Datadog, Prometheus, ELK Stack)Experience working in an agile environment with high-velocity teamsProficiency with scripting languages like Python, Node.js, and GoAdaptable problem-solving mindset - thriving in changing environments and requirements.This position is open to all candidates.