. • Understanding of cloud storage, compute, networking, identity, and access management concepts. Preferred • Experience deploying Python and AI applications on cloud platforms. • Familiarity with containers, orchestration, serverless services, managed databases, storage, networking, and identity services. • Experience with cloud security, infrastructure automation, monitoring, and cost optimization. • Understanding of efficient and sustainable cloud resource utilization. Frameworks and Libraries Essential • Experience using Python frameworks and libraries for software development, data processing, automation, or AI applications. • Understanding of framework and library selection, integration, maintenance, and upgrades. • Familiarity with frameworks used to build APIs, services, workflows, or application components. • Knowledge of libraries and tools used to support AI, machine learning, data analysis, or natural language processing. • Understanding of testing, monitoring, and performance evaluation practices. Preferred • Experience with AI and machine learning frameworks or libraries. • Knowledge of large language model integration, prompt engineering, embeddings, vector search, and retrieval-augmented generation. • Experience with AI workflow, orchestration, or agent-based frameworks. • Familiarity with natural language processing, model evaluation, model monitoring, and output validation. • Experience developing AI-enabled APIs, services, or enterprise applications. Development Tools and Methodologies Essential • Knowledge of Agile development methodologies. • Familiarity with project management tools and software delivery workflows. • Understanding of software architecture, design patterns, and technical documentation. • Experience with version control, branching, merging, pull requests, and code reviews. • Experience with software testing, defect management, release processes, and production support. • Experience leading or coordinating projects or workstreams involving cross-functional technology teams. Preferred • Experience with CI/CD pipelines and DevOps practices. • Knowledge of infrastructure as code and automated quality checks. • Familiarity with logging, monitoring, observability, and incident management tools. • Experience with Agile planning, estimation, backlog management, risk tracking, and delivery reporting. • Knowledge of AI evaluation, prompt testing, model monitoring, and AI governance practices. Security Protocols Essential • Understanding of secure software development principles. • Awareness of authentication, authorization, identity and access management, encryption, secrets management, and secure data handling. • Ability to consider security, privacy, and regulatory