Your Role and Responsibilities:As an Applied AI Specialist: Cloud FullStack, you will design, build, and evolve cloud-native and hybrid applications that translate client requirements into scalable, secure, and production-ready solutions. This role involves collaborating with digital workers and intelligent agents to deliver solutions, applying an AI-First mindset and following established methodologies.
Your Primary Responsibilities Will Include:
Solution Design:
Designing and building cloud-native and hybrid applications that meet client requirements and are scalable, secure, and production-ready.Application Development:
Applying an AI-First mindset to automate scaffolding, dependency management, API definition, and validation, as well as database design and validation.Pipeline Operation:
Designing and operating CI/CD and GitOps pipelines with IaC and DevSecOps controls to ensure production readiness and cutover quality.Quality Engineering:
Performing unit, module, and functional testing using testing agents and synthetic data to ensure quality and reliability.Incident Resolution:
Analyzing logs and stack traces using AI agents to triage and resolve incidents and defects across different phases.
Required Education:
Bachelor's Degree
Preferred Education:
Master's Degree
Required Technical and Professional Expertise:
Cloud Application Development:
Exposure to designing and building cloud-native and hybrid applications that meet client requirements and are scalable, secure, and production-ready.AI-First Mindset:
Experience applying AI-First mindset to automate scaffolding, dependency management, API definition, and validation, as well as database design and validation.CI/CD Pipeline Operation:
Exposure to designing and operating CI/CD and GitOps pipelines with IaC and DevSecOps controls to ensure production readiness and cutover quality.Quality Assurance:
Experience performing unit, module, and functional testing using testing agents and synthetic data to ensure quality and reliability.Hyperscaler Platforms:
Exposure to hyperscalers such as AWS, Azure, and Red Hat OpenShift, and deployment models to architect resilient and cost-optimized full-stack and integration patterns.
Preferred Technical and Professional Experience:
Additional AI Tools:
Exposure to other AI tools and technologies can be beneficial.Advanced Testing Methods:
Familiarity with advanced testing methods and techniques is desirable.Emerging Technologies:
Knowledge of emerging technologies and trends in cloud and AI can be advantageous.
Years of Experience:
5 - 10
