Applied AI Specialist-Cloud FullStack

IBM

Pune District

Presencial

INR 1.800.000 - 2.400.000

Jornada completa

hace 23 horas
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Descripción de la vacante

International Business Machines Corporation (IBM) is seeking an Applied AI Specialist: Cloud FullStack in India. You will design, build, and evolve cloud-native and hybrid applications translating client requirements into scalable, secure, and production-ready solutions.

Collaborate with digital workers and intelligent agents applying an AI-first mindset. You will design and operate CI/CD pipelines with IaC and DevSecOps controls to ensure production readiness, perform rigorous testing, and

Formación

  • Master's degree in a related field or equivalent experience.
  • Experience designing and building cloud-native and hybrid applications.
  • Experience applying AI-first mindset to automation and validation.
  • Exposure to CI/CD and GitOps with IaC and DevSecOps controls.
  • Experience with hyperscalers like AWS, Azure and OpenShift.

Responsabilidades

  • Design and build cloud-native and hybrid apps that are scalable, secure, and production-ready.
  • Apply AI-first approaches to automate scaffolding, dependencies, APIs, and database design.
  • Design and operate CI/CD pipelines with IaC and DevSecOps controls.
  • Conduct unit, module, and functional testing using testing agents and synthetic data.
  • Analyze logs and traces with AI agents to triage incidents and defects.

Conocimientos

Cloud native apps
AI-First mindset
CI/CD pipelines
Quality assurance
Hyperscaler platforms

Educación

Master's Degree

Herramientas

AWS
Azure
Red Hat OpenShift

Descripción del empleo

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.


Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.


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.


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.

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