Senior Devops Engineer

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.

- 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

- 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

- Proficiency with scripting languages like Python, Node.js, and Go

- Adaptable problem-solving mindset - thriving in changing environments and requirements

- Excellent written and verbal communication skills, with the ability to collaborate effectively across distributed teams, time zones, and multiple R&D stakeholders

- Experience with HPC / scientific computing- e.g., Slurm, AWS ParallelCluster, Azure CycleCloud

If you take pride in what your infrastructure enables- faster science, reliable operations, a better product and you'd rather ship something useful this week than something perfect this quarter, this is the place for you. You'll join a small global team with real ownership and room to grow, help shape how a fast-moving company builds and operates with AI, and work alongside engineers and scientists solving problems most infrastructure teams never get near- from forecast models to satellites.

At tomorrow.io we have established a workplace culture that values fairness and equal opportunities and we believe it is crucial for fostering a positive and productive environment. Regularly reviewing and adjusting pay practices to align with legitimate drivers of pay, such as job level, geographic location, and performance, demonstrates a commitment to maintaining equity within the organization.This commitment to ongoing assessment and improvement is key to creating a workplace that is not only diverse and inclusive but also fair and just.

The anticipated salary range for this role is $160-180k, subject to local market and candidates skills and experience. Comprehensive health benefits, unlimited paid time off and other benefits included.