Designing, implementing, and maintaining CI/CD pipelines for seamless deployments
Setting up and managing cloud infrastructure on AWS, GCP, or Azure
Implementing monitoring, logging, and alerting solutions using Grafana, Logstash, Prometheus, and ELK Stack
Managing containerized applications using Docker and Kubernetes
Ensuring system reliability, scalability, and security best practices
Automating infrastructure as code (IaC) using Terraform or Pulumi
Working closely with the development team to optimize deployments and performance
Troubleshooting production issues and ensuring high availability of AI-powered applications

Strong expertise in DevOps, cloud infrastructure, and automation
Experience with CI/CD pipelines and deployment automation (GitHub Actions, Jenkins, ArgoCD, etc.)
Hands-on experience with Grafana, Logstash, and other monitoring tools
Knowledge of Docker, Kubernetes, and container orchestration
Familiarity with event-driven architectures and microservices
Experience with infrastructure as code (Terraform, Pulumi, or similar)
Strong problem-solving mindset and ability to work independently
Experience in securing cloud infrastructure and DevSecOps best practices
Familiarity with AI model deployment and ML pipelines
Contributions to open-source projects or a strong GitHub portfolio

DevOps Engineer

Key skills