Company Description Mind Frey is a startup providing an education streaming service with over 2,500 paid members who engage with subjects like Physics, Chemistry, Biology, Biochemistry, Economics, and Design. We create personalized content based on user knowledge levels, making our service suitable for both high school students and post-graduate candidates. Our team consists of engineers and educators from India, collaborating with local teachers and experts from premier institutes like IISC Bangalore and TISS Mumbai. Mind Frey's flagship product, QRT, offers detailed student performance insights, helping educators create personalized learning roadmaps and ensuring no student is left behind. Trusted by over 5,000 students, we are revolutionizing education through data-driven solutions. Key Responsibilities Set up, automate, and manage CI/CD pipelines for the Findiy portal. Deploy and monitor application infrastructure on Azure. Implement infrastructure-as-code (IaC) using tools like Terraform or CloudFormation. Monitor system performance, availability, and security. Troubleshoot deployment and environment-related issues. Ensure backups, disaster recovery, and failover strategies are in place. Collaborate with developers to optimize builds, releases, and deployment workflows. Implement and maintain observability tools (logging, metrics, alerting). Ensure compliance with security best practices and cost optimization of cloud resources. Required Skills & Qualifications Strong experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.). Hands-on experience with cloud platforms (Azure). Proficiency in containerization & orchestration (Docker, Kubernetes). Knowledge of Infrastructure-as-Code (Terraform, Ansible, or similar). Familiarity with monitoring tools (Prometheus, Grafana, ELK Stack, etc.). Understanding of networking, load balancing, and security best practices. Experience with scripting (Bash, Python, or similar). Solid understanding of DevOps principles and agile workflows. Good to Have Experience deploying AI/ML or microservices-based architectures . Knowledge of serverless functions (Azure, GCP Cloud Functions). Exposure to cost optimization strategies in cloud environments.
