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Unlimited leave · Flexible hours · DevOps / Platform Engineer

Senior Devops Engineer

Tomorrow.io · Washington · United States

USD 160k–180k / year Posted Open until 18 Oct 2026
  • Unlimited leave Comprehensive health benefits, unlimited paid time off and other benefits included. — job description

The job, in the employer's words

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
  • 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

Bonus:

  • Experience with HPC / scientific computing-  e.g., Slurm, AWS ParallelCluster, Azure CycleCloud
  • Familiarity with parallel filesystems- e.g., Lustre, NFS

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.

If you have reached this point and you are super excited but not sure you check all the boxes - we still want to speak with you! Your passion is priceless. Other things can be learned.

This position requires access to technology that is controlled under U.S. export control laws and regulations. Accordingly, this position is restricted to U.S. citizens, permanent residents and protected individuals unless and until any required licenses are obtained.

Tomorrow.io is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Tomorrow.io participates in the E-Verify program in all US states, as required by law.

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. 

Tomorrow.io is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at jobs@tomorrow.io

About Tomorrow.io:

Selected by TIME Magazine as one of the Top 100 Most Influential Companies in the World, Tomorrow.io is the world's leading Resilience Platform™. Combining next-generation space technology, advanced generative AI, and proprietary weather modeling, Tomorrow.io delivers unmatched forecasting and decision-making capabilities. Trusted by six of the top ten Fortune 500 companies, Tomorrow.io empowers organizations to proactively manage weather-related risks, opportunities, and enhance operational efficiency. From cutting-edge weather intelligence to real-time early warning systems, Tomorrow.io enables predictive, impact-based action for a safer, more resilient future. Learn more at Tomorrow.io.

Ethos: Our ethos guides us in everything we do - The people of Tomorrow are here to make an impact, they show true grit, and always put people first.

How we roll: We believe that magic happens when people work together. The People of Tomorrow take ownership with a bias for action. We believe in transparency and directness, putting work before ego, and empathy. The People of Tomorrow have a can-do attitude, are resilient, and curious. They are growth oriented, value people striving to be experts, and love to have fun. Here, your success is achieved by your impact and deliveries and not by the hours you put in. We have flexible hours and unlimited vacation days policy. The People of Tomorrow show empathy, mutual respect and work as one diverse team. We grow fast and move faster but we always see people first. Each person has their own career growth path for we believe that the only way for the company to grow is if you grow.



Requirements mentioned

  • 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

No Mondays shows this listing as the employer published it. Check the details on the employer's site before you apply.

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Remote share — DevOps / Platform Engineer jobs in United States

85% are remote

226 of 267 jobs we have listed

How long they stay open — DevOps / Platform Engineer jobs in United States

55 days median time open before the listing ended

Based on 18 ended listings

Advertised pay — DevOps / Platform Engineer jobs in United States

USD 184k median advertised pay / year

Middle half: USD 162k – USD 208k

From 168 listings that state pay