DevOps Engineer

About the Role We're looking for a DevOps Engineer to build the infrastructure foundation that keeps our AI-powered product fast, reliable, secure, and cost-efficient. You'll set up the cloud, deployment, and monitoring systems that let a small team ship confidently and scale smoothly through the pilot and beyond. What You'll Do - Design, provision, and manage cloud infrastructure (AWS, GCP, or Azure) - Build and maintain CI/CD pipelines for fast, safe, automated deployments - Implement infrastructure-as-code (Terraform, Pulumi, or similar) for reproducible environments - Containerize and orchestrate services (Docker, Kubernetes) as the system grows - Set up observability: monitoring, logging, alerting, and tracing across the stack - Manage and optimize the cost, latency, and reliability of LLM and AI workloads - Own security, secrets management, and access controls across environments - Establish backup, disaster-recovery, and incident-response practices for the pilot - 4+ years of DevOps, SRE, or infrastructure engineering experience - Strong hands-on experience with at least one major cloud provider (AWS/GCP/Azure) - Proficiency with infrastructure-as-code tools (Terraform, Pulumi, CloudFormation) - Experience with containerization and orchestration (Docker, Kubernetes) - Solid CI/CD experience (GitHub Actions, GitLab CI, CircleCI, or similar) - Strong scripting skills (Bash, Python, or Go) - Experience implementing monitoring and observability tooling (Prometheus, Grafana, Datadog, etc.) - Security-first mindset and experience with secrets and access management - Experience managing infrastructure for AI/ML or LLM-heavy workloads - Familiarity with cost optimization for high-throughput API usage - Experience with GPU infrastructure or inference serving - Early-stage experience standing up infrastructure from scratch Originally posted on Himalayas