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# DevOps Engineer

- **Company:** The Tomorrow Companies Inc.
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $160,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Delivery, Continuous Integration, DevOps, File Systems, Design of User Interfaces, Monitoring of Systems, Human-Computer Interaction, Python (Programming Language), M Programming Language, Network File Systems, Node.Js, Performance Tuning, Prometheus, Scientific Computating, Software Engineering, Datadog, Scripting, Graphics Processing Unit (GPU), Application Enhancement Tool, Grafana, Kubernetes, Deployment Automation, Slurm, Machine Learning Operations, Terraform, Elk Stack, Golang
- **Published:** August 11, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-devops-engineer-washington-dc--0f9deb07-06c8-46d6-ae80-5ae54b829fa7

## About the Role

* 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, 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., Amazon Web Services (AWS), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Business Strategy, Business Support, Business-to-Business (B2B), Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, DevOps, E Programming Language, File Systems, Forecasting, Fortune 500 Customers, GCP (Good Clinical Practices), GPU (Graphics Processing Unit), Go Programming Language (Golang), Legal, Microsoft Windows Azure, NFS (Network File System), Node.js, On Call, Operational Strategy, Operations Processes, Performance Tuning/Optimization, Power Engineering, Presentation/Verbal Skills, Problem Solving Skills, Python Programming/Scripting Language, Research & Development (R&D), Scripting (Scripting Languages), Software Engineering, Startup, Team Player, User Interface/Experience (UI/UX), Writing Skills, eCommerce

## Description

* 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


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