DevOps Engineer

Carnot Research is hiring a DevOps Engineer (12 years experience)

Join our rapidly growing product and AI engineering team as we scale cutting-edge research, agentic systems, and high-performance applications. If you enjoy automating workflows, managing scalable infrastructure, and building reliable deployment pipelines, we'd love to connect with you.

Responsibilities

• Build, manage, and optimize CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
• Automate infrastructure provisioning using Terraform, CloudFormation, or similar IaC tools
• Manage containerized applications using Docker and orchestrators like Kubernetes
• Monitor system performance, reliability, and uptime using modern observability tools
• Work closely with backend, frontend, and AI teams to ensure smooth deployment and integration
• Maintain cloud infrastructure (AWS/GCP/Azure) with a focus on scalability, cost-efficiency, and security
• Implement DevOps best practices: version control, automation, logging, rollbacks, and incident response
• Troubleshoot and resolve production issues with a strong ownership mindset

Requirements

• 12 years of hands-on experience in DevOps, SRE, or Cloud Engineering
• Solid understanding of Linux systems, networking basics, and shell scripting
• Strong experience with Docker and container lifecycle management
• Basic knowledge of Kubernetes (deployment, services, config maps)
• Familiarity with CI/CD workflows and version control (Git)
• Experience with at least one major cloud provider (AWS/GCP/Azure)
• Understanding of monitoring tools (Prometheus, Grafana, ELK, CloudWatch, etc.)
• Problem-solving skills, accountability, and a strong automation-first mindset

What We Offer

• Opportunities to work closely with AI/ML teams on scalable, compute-intensive systems
• Freedom to experiment, automate, and engineer advanced cloud-native solutions
• Flexible work culture and exposure to R&D and next-gen platform engineering
• Competitive compensation
• Fast-paced environment with a steep learning curve and real impact