Carnot Research is hiring a DevOps Engineer (1–2 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
1–2 years of hands-on experience in DevOps, SRE, or Cloud EngineeringSolid understanding of Linux systems, networking basics, and shell scriptingStrong experience with Docker and container lifecycle managementBasic 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 mindsetWhat We Offer
Opportunities to work closely with AI / ML teams on scalable, compute-intensive systemsFreedom to experiment, automate, and engineer advanced cloud-native solutionsFlexible work culture and exposure to R&D and next-gen platform engineeringCompetitive compensationFast-paced environment with a steep learning curve and real impact