Senior DevOps Engineer
Tomorrow.io, Washington, District of Columbia +1
- Pay
- $160K–$180K / year
- Work type
- Remote
- Level
- Senior
- Area
- Infra, platform & SRE, Inference & ML systems, ML / AI engineering
- Posted
- Jul 22, 2026
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About the role
Tomorrow.io'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 to power the reliability, security, and efficiency of the world's most impactful weather platform. Your work will be guided by four core pillars- Security, Cost, SLOs, and Developer Experience- with AI acting as a force multiplier across each. 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. Our environment spans two worlds: cloud-native product services on Kubernetes, and scientific computing on HPC clusters- and you'll help both thrive. 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 at Tomorrow.io, You'll:
- Develop and adopt AI-powered tools to make Development and Operations processes more efficient
- Collaborate with weather scientists, engineers, and Spacecraft Mission Operations Engineers 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
- Support scientific computing workloads on HPC clusters (SLURM) alongside our cloud-native Kubernetes platforms
- Introduce and integrate MLOps practices for GPU-based model deployment on Kubernetes
- Maintain Production availability by participating in DevOps on-call shifts
What you bring:
- At least 6 years of experience as a Platform/DevOps/SRE Engineer in a containerized cloud environment experienced with AWS, GCP, or Azure and IaC, such as Terraform or Crossplane
- Experience in fast-growing, cloud-native startup or scale-up environments
- Strong sense of ownership and accountability for service reliability
- Daily, hands-on use of AI coding agents; experience building agentic workflows is a plus
- 10X mindset - always looking for the fastest, smartest path to a high-quality result
- Daily use of AI coding agents (Claude Code, Copilot, etc.)- must; building agentic DevOps workflows- a plus
- Experience with CI/CD tools and deployment methodologies in Kubernetes
- Experience implementing and customizing monitoring systems (Datadog, Prometheus, Grafana, ELK Stack)
- Experience working in an agile environment with high-velocity teams
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checked 2 days ago
Listed on Tomorrow.io's Greenhouse job board; checked 9 h ago. First seen by us 2 days ago. Being listed doesn't mean the team is actively interviewing. We found this board in a public directory and haven't yet confirmed it against the company's own careers page.