Implementing Scalable Cloud Infrastructure for Enhanced Biotechnology Data Processing

As a dynamic biotechnology scale-up, we are experiencing exponential growth in our data processing demands due to increased research activities and partnerships. To address this, we are focusing on implementing a scalable, secure, and efficient cloud infrastructure that supports our complex data workflows. This project involves designing and deploying a cloud architecture using Kubernetes for orchestration, Terraform for infrastructure management, and ArgoCD for continuous deployment, ensuring a seamless integration across multi-cloud environments. Observability tools like Prometheus and Grafana will be essential in monitoring system health and performance, while Jenkins will manage CI/CD pipelines, automating the deployment process. Additionally, security automation will be prioritized to protect sensitive data. This initiative is critical as it directly impacts our ability to process large datasets accurately and swiftly, which is essential for timely research findings and maintaining a competitive edge in the biotechnology sector. The project is expected to be completed within 8-12 weeks, with a budget of $15,000 to $50,000. We are looking for someone with proven expertise in modern DevOps tools and cloud technologies to lead this transformation.