Applied AI Specialist-Cloud FullStack

IBM India Pvt. Limited; Pune District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

IBM India Pvt. Limited in Pune is seeking an Applied AI Specialist: Cloud FullStack to design, build, and evolve cloud-native and hybrid applications that translate client requirements into scalable, secure, production-ready solutions.

Collaborate with digital workers and intelligent agents using an AI-First mindset. The role covers solution design, application development, pipeline operation with IaC and DevSecOps, quality engineering, and incident triage using AI agents.

Qualifications

• Bachelor's Degree in a relevant field.
• Master's Degree preferred.
• Experience designing and building cloud-native and hybrid applications.

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.

Skills

Cloud Application Development

AI-First Mindset

CI/CD Pipeline Operation

Quality Assurance

Hyperscaler Platforms

Education

Bachelor's Degree

Master's Degree

Tools

AWS

Azure

Red Hat OpenShift

Job description

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:

7 - 9