{"id":1218023,"url":"https://alion.io/job/globe-telecom-ai-cloud-engineer","title":"AI Cloud Engineer","company":{"id":50025,"name":"Globe Telecom","domain":"globe.com.ph","url":"https://alion.io/company/globe-telecom","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"C","score":67,"open_postings":272,"ghost_share":0.544,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Taguig, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"HIPAA","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Prometheus","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-22T00:00:00Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-17T05:01:32Z","board_verified":true,"closed_at":null,"days_open":25,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":25},"description":"At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.\nJob Description\nAI Cloud Engineer experienced in cloud platforms, primarily Google Cloud Platform (GCP) and Amazon Web Services (AWS), with a solid foundation in Terraform and infrastructure automation. You will play an essential role in deploying, managing, and optimizing cloud environments tailored for AI-driven solutions. In this position, you'll collaborate closely with backend engineers, data scientists, DevOps specialists, and stakeholders to create reliable, scalable, and efficient AI infrastructure.DUTIES AND RESPONSIBILITIES:\nCloud Infrastructure & Automation\nDesign, deploy, and maintain scalable cloud infrastructure for AI workloads on the Cloud and On-Prem Infrastructure.\n\nLeverage Infrastructure as Code (e.g. Terraform, Helm) to ensure efficient, repeatable, and reliable deployments.\n\nContinuously optimize cloud resource usage and costs while ensuring infrastructure scalability and reliability.\n\nAI Integration & Model Deployment\nWork closely with AI teams to build and manage cloud-based environments for AI model training, validation, and deployment.\n\nDevelop and maintain CI/CD pipelines tailored for AI applications, ensuring smooth and automated deployment of models and services.\n\nEnsure high availability and scalability for AI inference endpoints.\n\nPerformance Monitoring & Optimization\nImplement robust monitoring and alerting solutions (CloudWatch, Stackdriver, Prometheus, Grafana) for AI workloads and cloud infrastructure.\n\nProactively identify and address performance bottlenecks, optimizing resources to reduce latency and improve system efficiency.\n\nRegularly review performance metrics and recommend improvements for operational excellence.\n\nSecurity & Compliance\nImplement and manage cloud security best practices, including IAM, encryption, vulnerability scanning, and network security.\n\nEnsure compliance with industry standards and regulations (e.g., GDPR, HIPAA) specific to AI and data management.\n\nCollaborate with security teams to conduct regular assessments and integrate security controls into deployment pipelines.\n\nCollaboration & Communication\nPartner with cross-functional teams including backend engineers, data scientists, and DevOps teams to ensure cohesive AI platform management.\n\nCommunicate effectively across teams to translate complex infrastructure requirements into actionable plans and solutions.\n\nActively participate in agile methodologies, contributing to sprint planning, retrospectives, and continuous improvement initiatives.\n\nKPIs:\nUptime percentage and reliabilityof AI model training and inference services.\n\nCost efficiency improvementsachieved through optimized cloud resource management.\n\nMinimizing AI infrastructure incidentsand maintaining SLA compliance for AI-enabled systems\n\nTOP 3-5 DELIVERABLES:\nDesign and implement scalable, secure, and cost-effective cloud infrastructureon AWS and GCP tailored specifically for AI workloads.\n\nDevelop and maintain Infrastructure as Code (IaC), ensuring consistent, repeatable, and automated cloud deployments.\n\nCreate and optimize CI/CD pipelines for efficient AI model deployment, ensuring seamless integration, continuous availability, and scalability.\n\nImplement comprehensive monitoring and alerting systems, proactively resolving performance bottlenecks and minimizing system downtime.\n\nEnsure robust security and compliance measuresfor AI cloud environments, aligning with industry standards and regulations (e.g., GDPR, HIPAA).\n\nSKILLS:\nTechnical Skills\nSolid proficiency in Infrastructure as Code for infrastructure automation.\n\nStrong hands-on experience with cloud services in GCP (Compute Engine, Kubernetes Engine, BigQuery, Cloud Storage) and AWS (EC2, S3, Lambda, ECS/EKS).\n\nKnowledge of containerization (Docker) and orchestration (Kubernetes).\n\nFamiliarity with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI.\n\nAI & Data Infrastructure\nUnderstanding of AI model lifecycle, model serving, and data-intensive infrastructure.\n\nExposure to data pipeline technologies (Pub/Sub, Kafka) and familiarity with analytics services.\n\nPortfolio\nEvidence of successful cloud infrastructure deployments, ideally showcasing Terraform expertise and cloud automation.\n\nContributions to projects involving AI integration or complex cloud architectures are highly beneficial.\n\nCertification/License:\nAWS SysOps Administrator - Associate\n\nAWS Solutions Architect - Associate\n\nGCP Associate Cloud Engineer\n\nGCP Professional Cloud Architector GCP Professional DevOps Engineer\n\nTerraform Certified Associate\n\nREQUIREMENTS:\nEducation\nBachelor's degree in Computer Science, Engineering, Information Systems, or related fields (or equivalent experience).\n\nBachelor's degree in Information Technology, Computer Science, Engineering, or a related field.\n\nPrior experience in cloud infrastructure design, implementation, and management, preferably within AI-focused environments.\n\nRelevant certifications such as AWS Certified Cloud Practitioner or GCP Cloud Digital Leader.\n\nStrong communication and collaboration skillsto effectively interact with cross-functional teams.\n\nDemonstrated ability to adapt quickly to changing technologies, continuously learning and integrating new tools and frameworks.\n\nExperience\n2-5 years of experience in cloud engineering, with hands-on experience in GCP and AWS.\n\nDemonstrable expertise with infrastructure as code tools, especially Terraform.\n\nExperience deploying, managing, and optimizing cloud infrastructure for high-availability applications.\n\nEqual Opportunity Employer\nGlobe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.\nGlobe’s Diversity, Equity and Inclusion Policy Commitment can be accessed here\nMake Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.","description_format":"text","description_chars":6282,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Telecommunications","Broadband"],"lifecycle":[{"event":"open","at":"2026-09-25T11:20:37Z"}],"visa":[],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.455,"p_room":0.55,"age_days":25,"expected_fill_days":18,"reasons":["conf:0","stale_co","velocity","win:tail","comp:junior,brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/globe-telecom-ai-cloud-engineer","json_url":"https://alion.io/job/globe-telecom-ai-cloud-engineer.json","meta":{"generated_at":"2026-10-17T21:18:25Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":5882,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":50025},"rest":"https://alion.io/mcp/rest/get_company?id=50025"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fglobe-telecom-ai-cloud-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fglobe-telecom-ai-cloud-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fglobe-telecom-ai-cloud-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/globe-telecom-ai-cloud-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fglobe-telecom-ai-cloud-engineer"}]}