{"id":1302611,"url":"https://alion.io/job/banpu-cloud-infrastructure-and-devops-engineer","title":"Cloud Infrastructure and DevOps Engineer","company":{"id":2648151,"name":"Banpu","domain":"banpu.com","url":"https://alion.io/company/banpu","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bangkok, Thailand"],"countries":["TH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13500,"max_usd":35000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2013},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GraphQL","optional":false},{"name":"Groovy","optional":false},{"name":"JavaScript","optional":false},{"name":"Jenkins","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-09-26T11:33:02Z","employer_posted_date":null,"last_verified_at":"2026-09-26T11:33:02Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"Description: Cloud Engineer to lead the design, architecture, and deployment of cloud infrastructure and MLOps environments supporting corporate AI projects and big data analytics. In this role, you will manage high-performance computing clusters (AI Compute Clusters), optimize model lifecycle pipelines from staging to production, and ensure a highly secure, resilient, and cost-efficient cloud platform.\n\nCloud Architecture & Infrastructure: Design and develop cloud-native, secure, and scalable infrastructures (primarily on Microsoft Azure) tailored for AI model processing, deep learning platforms, and AI-driven applications. Network & Cloud Security: Design and implement enterprise-grade network security, including Azure Landing Zone (Hub-Spoke architecture), and manage firewall policies (Azure Firewall, NSG, Route Table) for service access and endpoint restrictions. End-to-End MLOps Workflows: Build and maintain comprehensive MLOps workflows, managing the model lifecycle (Model Lifecycle Management), model tracking, and production deployments using tools like MLflow or Azure Machine Learning. Compute Optimization: Manage and optimize autoscaling mechanisms for AI compute worker nodes, effectively handling scale computing tasks without performance degradation. Pipelines & Automation: Develop Infrastructure as Code (IaC) via Terraform and automate CI/CD pipelines triggered by APIs to dynamically provision compute infrastructure for advanced mathematical/AI solutions. Secure Environments: Establish secure enterprise network zones (Azure Landing Zone) and seamlessly migrate legacy AI workloads into environments aligned with corporate IT security standards. Identity & Governance: Govern identity, security compliance, and access controls (Microsoft Entra ID, Managed Identity) for internal/external API integrations with AI endpoints (e.g., Azure Machine Learning). Financial & Cloud Cost Optimization: Monitor, analyze, and optimize cloud infrastructure costs. Generate financial reports and manage resource budgeting to ensure maximum cost-efficiency for AI workloads.\n\nExperience: 5+ years of hands-on experience in Cloud Infrastructure, DevOps, or AI/Data Engineering, with at least 2-3 years dedicated to building AI infrastructure or MLOps platforms. AI & Cloud Expertise: Strong proficiency in AI-related cloud ecosystem components (Azure), such as Azure ML, Azure OpenAI, Data Factory, Container Apps, and serverless architectures. MLOps & Containerization Skills: Hands-on experience with MLflow and Docker to effectively containerize and orchestrate Machine Learning models. DevOps & IaC Expertise: Advanced skills in writing declarative Terraform scripts and constructing automation pipelines using Azure DevOps or Jenkins. Data & Frameworks Foundation: Solid understanding of data architecture, database management (SQL/NoSQL), and integration layers including REST APIs and GraphQL frameworks. Network & Security Foundations: Familiar with foundational cloud networking concepts. Programming Languages: Highly proficient in Python (critical for AI/ML environments); familiarity with Groovy, JavaScript, or TypeScript is an asset. Soft Skills: Proven ability to collaborate cross-functionally with Data Scientists, AI Engineers, and Application Developers. Exceptional analytical, problem-solving, and self-directed execution capabilities. English Skill: Good command of spoken & written (Minimum TOEIC Score 500).\nJob skills required: Architecture, Microsoft Azure, Javascript, Automation, TypeScript\nJob skills preferred: English, Big Data, Budgeting, Jenkins, GraphQL","description_format":"text","description_chars":3607,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T12:12:00Z"},{"event":"close","at":"2026-09-26T13:04:00Z"},{"event":"restore","at":"2026-09-26T13:43:53Z"}],"liveness":{"score":82,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.821,"p_room":1,"age_days":4,"expected_fill_days":24,"reasons":["seen:4","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/banpu-cloud-infrastructure-and-devops-engineer","json_url":"https://alion.io/job/banpu-cloud-infrastructure-and-devops-engineer.json","meta":{"generated_at":"2026-10-01T18:51:05Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1081,"day_limit":5000,"remaining_today":3919,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}