At our company, we are building an AI-First company, leveraging cutting-edge technology to revolutionize climate intelligence.
our company's engineering department is focused on building life changing software and products at scale, from infrastructure that handles massive amounts of data to outstanding customer-centric user experiences in B2B, B2C and B2D products that change billions of lives worldwide.
We're looking for a Senior DevOps Engineer who'll bring the dev stream from build through deploy to production, to maximum efficiency, reliability, security and stability. You'll integrate AI capabilities into our DevOps workflows, facilitate team independence, and maintain adaptive infrastructure that supports our business strategy. By continuously reducing costs and increasing velocity, you'll work in a team effort to achieve our goals. You'll help us make sure we are building the biggest weather platform in the world.
As a Senior DevOps Engineer at our company, 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.
our company's engineering department is focused on building life changing software and products at scale, from infrastructure that handles massive amounts of data to outstanding customer-centric user experiences in B2B, B2C and B2D products that change billions of lives worldwide.
We're looking for a Senior DevOps Engineer who'll bring the dev stream from build through deploy to production, to maximum efficiency, reliability, security and stability. You'll integrate AI capabilities into our DevOps workflows, facilitate team independence, and maintain adaptive infrastructure that supports our business strategy. By continuously reducing costs and increasing velocity, you'll work in a team effort to achieve our goals. You'll help us make sure we are building the biggest weather platform in the world.
As a Senior DevOps Engineer at our company, 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 5 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
Data-driven decision-making mindset, with a passion for leveraging AI, automation, and analytics to solve complex challenges.
At least 5 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
Data-driven decision-making mindset, with a passion for leveraging AI, automation, and analytics to solve complex challenges.
This position is open to all candidates.
