{"id":182135,"url":"https://alion.io/job/marriott-vacation-club-sr-cloud-engineer","title":"Sr Cloud Engineer","company":{"id":4791,"name":"Marriott Vacations Worldwide","domain":"mymvw.com","url":"https://alion.io/company/mymvw","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":89,"open_postings":58,"ghost_share":0,"stale_share":0.638,"repost_share":0.034,"time_to_fill_p50_days":16,"computed_at":"2026-10-17T05:46:00Z"}},"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":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":107000,"max_usd":207000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1602},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Bitbucket","optional":false},{"name":"Configuration Management","optional":false},{"name":"FinOps","optional":false},{"name":"GitHub","optional":false},{"name":"GitOps","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"Kustomize","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MuleSoft","optional":false},{"name":"OpenShift","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Progressive Delivery","optional":false},{"name":"Python","optional":false},{"name":"Red Hat","optional":false},{"name":"Terraform","optional":false},{"name":"Zero Trust","optional":false},{"name":"AI Agents","optional":true},{"name":"AIOps","optional":true},{"name":"Anthropic","optional":true},{"name":"Apex","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Backstage","optional":true},{"name":"CI/CD","optional":true},{"name":"Claude","optional":true},{"name":"Claude Code","optional":true},{"name":"Copilot","optional":true},{"name":"Function Calling","optional":true},{"name":"LLM","optional":true},{"name":"LLM Evaluation","optional":true},{"name":"Rest API","optional":true},{"name":"SLI/SLO/SLA","optional":true},{"name":"Structured Outputs","optional":true},{"name":"Tekton","optional":true},{"name":"Tool Use","optional":true},{"name":"VMWare","optional":true},{"name":"Windows","optional":true},{"name":"Windows Server","optional":true}],"status":"live","first_seen_at":"2026-08-31T00:00:00Z","employer_posted_date":"2026-08-31","last_verified_at":"2026-10-18T01:46:28Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":48},"description":"CLS Generic Position Summary\nAs a member of the professional staff, contributes specialized knowledge and skill in a discipline (e.g. Accounting, Finance, Human Resources, Information Technology, Operations Planning & Support, Sales & Marketing) area to support team and/or department business objectives. Generally works under limited supervision, but within established guidelines, producing and analyzing more complex business information to assist in the decision-making process.\nSpecific Job Summary\nThe Senior Cloud Engineer is responsible for designing, implementing, and supporting scalable automation and platform engineering capabilities that enable MVW’s global technology environment. This role develops and maintains infrastructure and platform services as code across MVW’s multi-cloud ecosystem, including Amazon Web Services (primary), Microsoft Azure, and Oracle Cloud Infrastructure, while supporting the container, data, and integration platforms that operate within those environments, such as Red Hat OpenShift Service on AWS (ROSA), Oracle Autonomous Data Warehouse (ADW), and Microsoft Fabric.\nWorking as a subject matter expert within Global Technology, the incumbent partners with infrastructure, security, application, data, and business teams to deliver reliable, secure, and cost-effective cloud solutions. The role applies automation, AI-enabled engineering practices, and disciplined governance to reduce operational complexity, improve self-service capabilities, strengthen platform reliability, and accelerate technology delivery in alignment with MVW’s security, compliance, and AI governance standards.\nCLS Generic Expected Contributions\nPerforms more complex quantitative and qualitative analysis for business processes and/or projects. Often manages small projects, business processes or parts of larger ones.\n\nResponds to, solves, and makes decisions on more complex/non-routine business requests with limited to moderate risk.\n\nResponsible for own work and contributing to team, department and/or business results. May direct work of non-management staff.\n\nAssists more senior associates in achieving business results by: identifying opportunities to enhance the effectiveness of business processes; providing training and technical guidance to less senior staff, where appropriate, and serving as point-of-contact for problem resolution; participating in setting department operating plans; recognizing and celebrating team successes; and achieving results against budget within scope of responsibility.\n\nDemonstrates an awareness of personal strengths and areas for improvement and acts independently to improve and increase skills and knowledge.\n\nPerforms other duties as appropriate.\n\nWorking Relationships\nGlobal Technology Teams and Leadership\n\nRegional and Site Leadership\n\nCorporate Leadership\n\nArchitecture\n\nInformation Security\n\nNetwork Engineering\n\nData & Analytics and Application Development\n\nGlobal Technology Services Resort End User Support Teams\n\nVendors and Cloud provider Account Teams.\n\nSpecific Expected Contributions\nCloud Infrastructure & Automation\nDesign, build, and operate multi-cloud infrastructure as code across AWS, Azure, and OCI using Terraform and Ansible, authoring, versioning, and testing reusable modules and collections rather than only consuming them.\n\nAutomate landing zone, network, identity, and workload provisioning across dozens of environments from a single, auditable control plane, and enforce guardrails through policy as code (AWS SCPs, Azure Policy, OPA) so that compliance applies at deploy time rather than after the fact. Partner with Network and Information Security on private connectivity, transit architectures, and zero-trust segmentation (e.g., Illumio).\n\nContainer Platform & GitOps\nOperate, upgrade, and extend production Kubernetes and OpenShift (ROSA) clusters at enterprise scale, including cluster lifecycle automation, drift detection, and progressive delivery patterns.\n\nMaintain GitOps-based delivery with Argo CD, Helm, and Kustomize, managing code and configuration in Bitbucket (preferred) or GitHub with a defined branching strategy, pull request review, and release tagging; build golden paths and self-service capabilities, and advise application teams on containerization, workload placement, and resource governance.\n\nData & Integration Platform Enablement\nAutomate provisioning and operations for Oracle Autonomous Data Warehouse (connectivity, wallet and secret management, scaling, backup posture), and support Confluent Kafka and MuleSoft CloudHub 2.0 with infrastructure, networking, and deployment automation.\n\nWork with Data & Analytics partners to make environment promotion for data and analytics artifacts as repeatable as application delivery using IaC.\n\nReliability, Observability & FinOps\nInstrument platforms with metrics, logs, and traces; define SLOs and actionable alerting, drive down alert noise, contribute to incident response and blameless postmortems, and automate remediation of recurring failure modes.\n\nDeliver cost visibility and optimization: tagging and showback, rightsizing, commitment management (Reserved Instances / Savings Plans), storage lifecycle policy, and capacity planning across cloud and data platforms.\n\nTechnical Leadership & Delivery\nServe as a subject matter expert alongside business, application, and infrastructure teams; gather requirements, estimate effort from inception to delivery, and complete work within scope, priority, timeline, and budget, running smaller efforts independently and contributing to larger programs with limited oversight.\n\nProduce design specifications, architecture diagrams, and operational runbooks and keep them current; mentor less experienced engineers, conduct design and code reviews, manage vendor escalations and product evaluations, and sustain a culture of quality, innovation, and disciplined experimentation.\n\nCLS Generic Candidate Profile\nSuccessful candidates should possess knowledge, experience, and demonstrate leadership skills as follows: Generally, a professional position with specific knowledge in a discipline (e.g., Accounting, Human Resources, Information Resources). College degree and/or relevant experience typically required.\nSpecific Candidate Profile\nEducation \nBA/BS in Computer Science, Computer Engineering, Information Systems, or a related technical discipline preferred; equivalent hands-on professional experience accepted in lieu of a degree.\n\nCertifications \nAssociate or Professional Level AWS or Azur\n\nCKA/CKAD or EX280\n\nTerraform Associate or a vendor AI/ML certification\n\nExperience\n7+ years in an IT engineering, administration, or architecture role, including 5+ years of hands-on automation and infrastructure as code.\n\n4+ years designing and operating production workloads in at least one major public cloud (AWS or Azure preferred), working exposure to a second (OCI).\n\n3+ years supporting production Kubernetes, with OpenShift or ROSA strongly preferred\n\n3+ years writing production-grade code in Python (preferred) or a comparable language\n\nAutomating large-scale, multi-environment infrastructure estates; enterprise application deployment, maintenance, and administration; production support including occasional on-call participation; and infrastructure as code and configuration management in a regulated or audited enterprise environment.\n\nPreferred Experience\nMulti-cloud operations spanning AWS, Azure, and OCI rather than a single provider, and managed OpenShift (ROSA or ARO) at scale including cluster upgrades and day-2 operations.\n\nOracle ADW, Microsoft Fabric, or comparable managed data platforms; platform engineering or internal developer platform work (Backstage or equivalent); hospitality, timeshare, travel, or another distributed multi-site enterprise environment.\n\nAI and Emerging Technology (\"Plus\")\nHands-on use of AI coding assistants and agentic development tools (Claude Code, GitHub Copilot) in a team setting, including the review and testing practices that make AI-generated code safe to ship.\n\nBuilding services or internal tooling against LLM APIs (Anthropic Claude, Azure AI Foundry, Amazon Bedrock), including prompt design, structured outputs, and tool calling.\n\nEvaluation and lifecycle discipline for AI systems: eval harnesses, prompt and model versioning, and drift monitoring.\n\nAIOps and AI governance: LLM-assisted incident triage, data classification, acceptable use, audit evidence, and cost control.\n\nSkills & Attributes\nAnalytical & Strategic Thinking\n\nSolves systemic problems through automation rather than addressing issues ticket by ticket.\n\nTroubleshoots systematically and exercises sound judgment under pressure.\n\nWeighs trade-offs across cost, reliability, security, and speed and explains the rationale clearly.\n\nTechnical\n\nUses Terraform and Ansible at a module and collection authoring level.\n\nApplies knowledge of Kubernetes and OpenShift workloads, operators, networking, storage, RBAC, and admission control.\n\nSupports GitOps and continuous delivery using Argo CD, Helm, Kustomize, Tekton, and/or Azure DevOps pipelines.\n\nDemonstrates cloud and platform fundamentals, including networking, identity and federation, secrets management, key management, Linux, Windows Server, VMware, REST APIs, provider SDKs, observability, and SLO practices.\n\nApplies AI working knowledge of AI/LLM concepts, including prompting, context management, retrieval, tool calling, evaluation, and token/cost awareness.\n\nProject Management\n\nOrganizes work across priorities, timelines, dependencies, and competing demands.\n\nSupports planning and delivery by clarifying scope, identifying risks, and driving assigned work to completion.\n\nInterpersonal & Leadership\n\nCommunicates complex technical concepts clearly to engineers and non-technical stakeholders, both verbally and in writing.\n\nBuilds trust across Global Technology, business partners, vendors, and cross-functional teams.\n\nGives and receives direct feedback constructively.\n\nDemonstrates strong presentation and diagramming skills.\n\nAdditional Attributes\n\nOperates effectively with ambiguity and limited oversight.\n\nStays current with a fast-moving technology landscape.\n\nMarriott Vacations Worldwide is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture.","description_format":"text","description_chars":10353,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Travel & Tourism","Vacation Rentals","Hotels & Resorts"],"lifecycle":[{"event":"open","at":"2026-09-01T01:11:15Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long 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