EngineeringFull-time
DevOps / Cloud Engineer
Remote / Bengaluru 3-5 years Full-time
About the Role
As a DevOps/Cloud Engineer, you'll be responsible for the infrastructure backbone that powers Kopfus's AI deployments. You'll design scalable, secure, and cost-effective cloud architectures, build robust CI/CD pipelines, and ensure our production systems maintain 99.9% uptime.
What You'll Do
- Design and manage cloud infrastructure on AWS and GCP
- Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, or ArgoCD
- Implement Infrastructure as Code using Terraform or Pulumi
- Manage Kubernetes clusters for containerized ML model deployments
- Set up monitoring, alerting, and observability (Grafana, Prometheus, DataDog)
- Implement security best practices and compliance frameworks
- Optimize cloud costs and resource utilization
What You Bring
- 3-5 years of experience in DevOps or cloud engineering roles
- Strong expertise in AWS or GCP (certified preferred)
- Proficiency with Docker, Kubernetes, and container orchestration
- Experience with Infrastructure as Code (Terraform, CloudFormation)
- Knowledge of networking, security, and Linux administration
- Experience with monitoring and observability tools
- Strong scripting skills (Bash, Python)
Nice to Have
- Experience deploying ML models in production (SageMaker, Vertex AI)
- AWS/GCP professional certifications
- Experience with GPU cluster management for ML workloads
- Knowledge of service mesh architectures (Istio, Linkerd)
Benefits & Perks
Flexible remote-first work culture
₹50K annual learning & development budget
Comprehensive health insurance (family included)
Home office setup allowance
Quarterly team retreats