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 efficient
Collaborate with developers and weather scientists to optimize service performance, reliability, scale, security, and cost
Evolve and maintain adaptive cloud infrastructure to support our business strategy and enable smooth growth at scale
Build self-service platforms for scientists and developers to work independently
Introduce and integrate MLOps practices for GPU-based model deployment on Kubernetes
Maintain Production availability by participating in DevOps on-call shifts.
As a DevOps Engineer, You'll:
Develop and adopt AI-powered tools to make Development and Operations processes more efficient
Collaborate with developers and weather scientists to optimize service performance, reliability, scale, security, and cost
Evolve and maintain adaptive cloud infrastructure to support our business strategy and enable smooth growth at scale
Build self-service platforms for scientists and developers to work independently
Introduce and integrate MLOps practices for GPU-based model deployment on Kubernetes
Maintain 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 Crossplane
Experience with CI/CD tools and deployment methodologies in Kubernetes
Strong sense of ownership and accountability for service reliability
Comfort with AI-powered development tools and willingness to experiment with new technologies and methods
Experience implementing and customizing monitoring systems (Datadog, Prometheus, ELK Stack)
Experience working in an agile environment with high-velocity teams
Proficiency with scripting languages like Python, Node.js, and Go
Adaptable problem-solving mindset – thriving in changing environments and 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 Crossplane
Experience with CI/CD tools and deployment methodologies in Kubernetes
Strong sense of ownership and accountability for service reliability
Comfort with AI-powered development tools and willingness to experiment with new technologies and methods
Experience implementing and customizing monitoring systems (Datadog, Prometheus, ELK Stack)
Experience working in an agile environment with high-velocity teams
Proficiency with scripting languages like Python, Node.js, and Go
Adaptable problem-solving mindset – thriving in changing environments and requirements.
This position is open to all candidates.
