Senior Devops Engineer

About the role

Tomorrow.io is looking for a Senior DevOps Engineer to manage the reliability, security, and efficiency of our global weather intelligence platform. You will build self-service infrastructure, integrate AI into operational workflows, and support both cloud-native Kubernetes environments and high-performance scientific computing clusters.

Key facts

What you'll do

• Develop and implement AI-driven tools to improve development and operations efficiency.
• Partner with weather scientists, software engineers, and Spacecraft Mission Operations to optimize service performance and cost.
• Design and maintain adaptive cloud infrastructure to support rapid business growth.
• Create self-service platforms that allow developers and scientists to work autonomously.
• Manage scientific computing workloads on HPC clusters using SLURM alongside Kubernetes.
• Integrate MLOps practices for deploying GPU-based models on Kubernetes.
• Participate in on-call rotations to maintain production availability.

Requirements

• Minimum 6 years of experience as a Platform, DevOps, or SRE engineer in a containerized cloud environment.
• Proficiency with AWS, GCP, or Azure and Infrastructure as Code tools like Terraform or Crossplane.
• Experience working within fast-growing, cloud-native startups or scale-up companies.
• Daily, hands-on experience using AI coding agents like Claude Code or Copilot.
• Experience with CI/CD methodologies and Kubernetes deployment strategies.
• Proficiency in Python, Node.js, and Go.
• Experience configuring monitoring systems such as Datadog, Prometheus, Grafana, or the ELK Stack.
• Ability to collaborate effectively across distributed teams and R&D stakeholders.
• This position is restricted to U.S. citizens, permanent residents, or protected individuals due to U.S. export control laws.

Nice to have

• Experience building agentic DevOps workflows.
• Background in HPC or scientific computing environments including Slurm, AWS ParallelCluster, or Azure CycleCloud.
• Familiarity with parallel filesystems like Lustre or NFS.

Skills & tools

• Cloud: AWS, GCP, Azure
• IaC: Terraform, Crossplane
• Orchestration: Kubernetes
• Languages: Python, Node.js, Go
• Monitoring: Datadog, Prometheus, Grafana, ELK Stack
• HPC: SLURM, ParallelCluster, CycleCloud, Lustre, NFS
• AI: AI coding agents, MLOps

Practical notes

• Compensation includes comprehensive health benefits and unlimited paid time off.
• Tomorrow.io is an Equal Employment Opportunity and Affirmative Action employer and participates in E-Verify.
• Reasonable accommodations are available for candidates with disabilities by contacting jobs@tomorrow.io.