🔧 Responsibilities

• Design, manage, and automate AWS cloud infrastructure
• Deploy and maintain Kubernetes clusters for scalable applications
• Build and optimize CI/CD pipelines (GitHub Actions, GitLab, Jenkins, etc.)
• Implement monitoring, logging, and alerting systems (CloudWatch, Prometheus, Grafana)
• Improve system reliability, uptime, and deployment quality
• Manage VPCs, load balancers, DNS, firewalls, routing, and other core networking components
• Develop infrastructure using IaC tools such as Terraform or CloudFormation
• Collaborate with development and QA teams for smooth, automated deployments
• (Optional) Support MLOps workflows — model deployment, ML pipelines, model inference infrastructure

🛠 Required Skills

• 1-3 years of experience as a DevOps / Cloud Engineer
• Strong hands-on experience with AWS services (EC2, S3, IAM, VPC, CloudFormation, ECS/EKS)
• Solid knowledge of Kubernetes (deployments, Helm, autoscaling, networking)
• Proficiency with Docker and containerized environments
• Strong understanding of networking concepts (subnets, routing, DNS, firewalls, load balancers)
• Experience with CI/CD (GitHub Actions, GitLab CI, Jenkins, etc.)
• Good scripting skills (Bash, Python)
• Experience with Infrastructure as Code (Terraform / CloudFormation)
• Familiarity with monitoring & logging tools

⭐ Nice-to-Have Skills

• Experience with MLOps tools such as MLflow, Kubeflow, SageMaker, or DVC
• Understanding of model deployments (Triton, BentoML, Seldon, etc.)
• Knowledge of data pipelines or ETL frameworks
• Security best practices (IAM, KMS, Secrets Manager)

🎯 What We Offer

• Competitive salary
• Fast-paced environment with modern tech stack
• Freedom to innovate and optimize infrastructure
• Opportunities to work on AI/ML-driven systems