{"id":1767598,"url":"https://alion.io/job/ntt-mid-level-cloud-ai-engineer","title":"Mid-Level Cloud & AI Engineer","company":{"id":121,"name":"NTT","domain":"global.ntt","url":"https://alion.io/company/ntt","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ho Chi Minh City, Vietnam","Hanoi, Vietnam"],"countries":["VN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GKE","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false},{"name":"Gemini","optional":true},{"name":"Incident Management","optional":true},{"name":"LLM","optional":true},{"name":"LLMOps","optional":true},{"name":"MLFlow","optional":true}],"status":"live","first_seen_at":"2026-09-09T00:00:00Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-10T22:48:42Z","board_verified":true,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":32},"description":"Make an impact with NTT DATA\nJoin a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it’s a place where you can grow, belong and thrive.\nAbout NTT DATA\nNTT DATA is a global innovator of business and technology services, supporting clients with consulting, cloud, data, artificial intelligence, applications, infrastructure, and managed services. Our international delivery network combines engineering capability, industry knowledge, and a strong partner ecosystem to help clients innovate and transform with confidence.\nAbout the Google Engineer Business\nThe Google Engineer business delivers engineering and technology services for Google-oriented cloud, AI, data, and enterprise programs. The team works across NTT DATA delivery centers, customer organizations, and Google-aligned technical stakeholders to build secure, scalable, reliable, and production-ready solutions. This role contributes directly to that business by combining strong engineering practice with disciplined customer and delivery collaboration.\nPosition Objective\nOperate and improve the cloud and engineering platform used by Google Engineer business teams to deliver AI and data services. The role works closely with AI delivery engineers, solution architects, and technical engagement managers to make environments repeatable, secure, observable, and ready for production workloads.\nKey Responsibilities\nProvision, configure, and support Google Cloud environments for AI, data, and enterprise application workloads.\nSupport Vertex AI workspaces, model and data pipelines, batch or online inference services, and related deployment components.\nImplement infrastructure as code, configuration management, and environment standards using Terraform or comparable tools.\nBuild and maintain CI/CD pipelines using Cloud Build, GitHub Actions, GitLab CI/CD, Jenkins, or equivalent tooling.\nSupport services such as Cloud Run, GKE, BigQuery, Cloud Storage, Pub/Sub, Artifact Registry, IAM, Secret Manager, and Cloud Monitoring where appropriate.\nPackage and deploy services with Docker and Kubernetes; maintainreliable release, rollback, and promotion processes.\nAutomate operational tasks and data movement using Python, Shell, SQL, or comparable scripting and workflow tools.\nImplement monitoring, logging, alerting, dashboards, and basic cost controls for cloud and AI workloads.\nTroubleshoot infrastructure, application, pipeline, access, performance, and deployment issues; document root causes and preventive actions.\nCollaborate with engineers and customers across time zones, follow security and change-control practices, and keep technical documentation current.\nEssential Qualifications\nCandidates should bring practical cloud operations experience and a clear interest in AI engineering platforms:\nBachelor’s degree in Computer Science, Information Technology, Engineering, or a relateddiscipline, or equivalent professional experience.\n3-5 years of experience in cloud engineering, DevOps, infrastructure, platform engineering, data engineering, or a related role.\nHands-on experience with Google Cloud Platform, including core compute, storage, networking, IAM, monitoring, and deployment services.\nWorking knowledge of Vertex AI or other managed AI/ML platforms and the operational needs of data or model pipelines.\nPractical experience with Linux, Docker, Kubernetes, CI/CD, source control, and infrastructure-as-code concepts.\nScripting capability in Python, Shell Script, or a similar language, plus basic SQL for data and pipeline troubleshooting.\nUnderstanding ofcloud-native architecture, system reliability, access control, secretsmanagement, and operational support.\nProfessional English communication skills and the ability to work effectively with international engineering teams.\nPreferred Qualifications\nGoogle Associate Cloud Engineer, Professional Cloud DevOps Engineer, or equivalent certification.\nExperience with Vertex AI Pipelines, Dataflow, Airflow, MLflow, Terraform modules, or platform observability at scale.\nExperience with Google Agent Development Kit, Gemini, LLM application deployment, or MLOps/LLMOps.\nExperience supporting customer-facing or offshore delivery projects and structured incident management.\nEnglishlanguage proficiencyor experience supporting APAC-based stakeholders.\nSuccess Measures\nDevelopment and production environments are provisioned consistently, securely, and with clear ownership.\nDeployment pipelines, monitoring, and operational documentation support predictable releases and rapid incident response.\nCloud and AI pipeline issues are resolved within agreed prioritiesand recurring problems are reduced through automation.\nPlatform cost, reliability, security, and performance are actively monitoredand improved.\nBenefits and Working Conditions\nCompetitive compensation package, with 100% salary during probation, subject to company policy and the employment offer.\nFull social insurance contribution based on the applicable salary basis.\nAnnual performance bonus and salary review in line with company policy.\nPremium healthcare insurance for employees and eligible family members from probation, subject to policy.\nAnnual health check-up and access to company-sponsored training, professional courses, and certification examinations.\nPaid leave and public holidays in accordance withVietnamese regulations and NTT DATA Vietnam policy.\nHybrid working model, flexible start time with manager approval, and a global environment with international collaboration.\nClear career development opportunities in cloud engineering, AI delivery, solution architecture, and technical leadership.\nWork Schedule\nMonday to Friday, 08:00-12:00 and 13:00-17:00.\nFlexible start time between 07:45 and 09:00 with manager approval.\nWork Locations\nHanoi: HITC Building, 239 Xuan Thuy Street, Hanoi, Vietnam.\nHo Chi Minh City: Opal Office Tower, 92 Nguyen Huu Canh Street, Ho Chi Minh City, Vietnam.\nWorkplace type:\nAbout NTT DATA\nNTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune\nGlobal 100. We are committed to accelerating client success and positively impacting society through\nresponsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with\nunmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and\napplication services. Our consulting and industry solutions help organizations and society move\nconfidently and sustainably into the digital future. As a Global Top Employer, we have experts in more\nthan 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as\nestablished and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each\nyear in R&D.\nEqual Opportunity Employer\nNTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.\nThird parties fraudulently posing as NTT DATA recruiters\nNTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. 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