What success looks like in this role:
Provide DevSecOps engineering support for AI projects, incorporating modern cloud-native and AI-driven architectures. Design, implement, and manage automated infrastructure provisioning and configuration management solutions, primarily within cloud platforms (e.g., Azure), including environment setup, access provisioning, and resource orchestration. Develop, maintain, and optimize robust CI/CD pipelines to automate build, test, and deployment processes, supporting AI/ML workloads. Automate test case development and regression testing, including the creation, maintenance, and expansion of automated test suites to ensure quality across ongoing and future releases, with particular focus on AI-based solutions. Support the deployment, scaling, monitoring, and lifecycle management of containerized applications, ensuring reliability, performance, and efficient resource utilization. Manage an...