Applied AI Specialist-Cloud FullStack
IBM
Bengaluru, Karnataka, India3h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers · Master's degree
- Must know
- REST APIsCI/CDAWSAzure
- Work
- On-site in Bengaluru
- Pay
- Not stated by the employer.
- Listed
- 11 Nov 2026 · still open
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About the Role
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.
Key Responsibilities
- 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.
Requirements & Tech Stack
- 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 an 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.
Qualifications
- Master's Degree