Cloud AI Engineer
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Role details
Tech stack
Requirements
Required SkillsetsCloud & InfrastructureHands-on experience with cloud platforms (GCP preferred)Experience with serverless compute and container-based deploymentsStrong understanding of event-driven architectures and asynchronous processingExperience with cloud storage and messaging systems Infrastructure as Code (IaC)Strong hands-on experience with TerraformAbility to provision and manage infrastructure using reusable modulesExperience working in structured landing zone / governed cloud environments CI/CD & DevOpsExperience building end-to-end CI/CD pipelinesHands-on with:GitHub Actions (or equivalent)Docker build and containerisationAbility to handle:Build * package * deploy * release lifecycleExperience creating reusable pipeline templatesApplication Deployment (E2E)Strong experience deploying applications end-to-end in cloud environmentsUnderstanding of:Runtime behaviourDeployment configurationsEnvironment separation (Dev / UAT / Prod)Ability to troubleshoot deployment + runtime issues
About the company
HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion.For more information on how we process your personal data, please refer to HCLTech’ s Candidate Data Privacy Notice.
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