DevOps Engineer
Core
Building and maintaining cloud infrastructure, CI/CD pipelines, and serving infrastructure for core ML/AI models in a seed-stage startup.
Role type
Senior DevOps Engineer (Infrastructure & MLOps)
Builds
Scalable cloud infrastructure, CI/CD pipelines, and production serving infrastructure for ML models
Domain
Industrial AI / Machine Learning / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Infrastructure as Code (Terraform), Container orchestration (Kubernetes), CI/CD pipeline management, Cloud security, Database administration, Cost optimization
Preferred skills
MLOps, Cloud security frameworks, On-prem deployment, Real-time time series data processing
Technologies
Terraform, Kubernetes (EKS/GKE/AKS), Docker, Prometheus, Grafana, ELK stack, GitLab CI, GitHub Actions, Jenkins, PostgreSQL, MongoDB, Redis
Responsibilities
Design and maintain highly available scalable infrastructure using IaC; Build and optimize CI/CD pipelines; Implement monitoring, logging, and alerting systems; Enforce security best practices across infrastructure; Optimize cloud expenditure; Collaborate with engineering teams on workflow and production troubleshooting
Seniority
Senior, hands-on IC
