Strong knowledge of software development methodologies, including Agile and Scrum. Strong knowledge of software architecture principles and best practices, including microservice, APIs, and service -oriented architecture (SOA). Experience with cloud computing platforms, especially with Azure data plane and control plane. Strong knowledge of security principles and best practices, including authentication, authorization, and data encryption. Excellent communication, collaboration, and interpersonal skills, with the ability to work effectively with other members of the IT team, business stakeholders, and external partners. Strong leadership and mentorship skills, with the ability to provide technical leadership and mentorship to other members of the IT team. Hands -on experience with cloud platforms (preferably Azure , but also AWS or GCP. Azure infrastructure design and deployment using automation tools like Terraform and ARM template. Experience in designing and implementing ML platforms, cognitive APIs, container orchestration, serverless functions, API gateways, VMs, networking VPC, Azure RBAC, EntraID, App service plans ..etc. Experience with MLOps , CI/CD, model monitoring, and automation API integration and containerization (Docker, Kubernetes) Strong foundation in supervised/unsupervised learning, NLP, GenAI, and LLMs is a plus. Skilled in prompt engineering, model fine -tuning, and evaluation Building data pipelines and integrating structured/unstructured data Understanding of data governance and regulatory compliance (HIPAA, GDPR) Technical leadership across architecture and engineering teams Effective collaboration with cross -functional teams (product, data, DevOps) Strong communicator with experience presenting to technical and business stakeholders.