{"id":2360745,"url":"https://alion.io/job/finthrive-senior-cloud-engineer","title":"Senior Cloud Engineer","company":{"id":2009803,"name":"FinThrive","domain":"finthrive.com","url":"https://alion.io/company/finthrive","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":{"grade":"B","score":70,"open_postings":10,"ghost_share":0.5,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"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":110000,"max_usd":216000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1413},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"GitHub Actions","optional":false},{"name":"HIPAA","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NIST 800-53","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Terraform","optional":false},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2025-12-15T05:00:00Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-13T09:48:57Z","board_verified":true,"closed_at":null,"days_open":302,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":302},"description":"Impact You Will Make\nAs a Senior Cloud Engineer, you will architect, deploy, and continuously enhance secure, scalable, and automated cloud environments on Microsoft Azure. Your advanced expertise in Terraform will be central to building robust infrastructure as code solutions and enabling self-service capabilities that empower teams to adopt and innovate on the cloud platform. You will collaborate with Security and Architecture teams to design solution blueprints and champion their adoption across the organization, helping accelerate product delivery and foster a DevOps mindset. This role is Hybrid in Plano, Texas.\nKey Responsibilities\nLead the design and implementation of Azure landing zones, applying advanced knowledge of architecture, resource organization, security, and governance aligned with Microsoft’s Cloud Adoption Framework.\nDemonstrate expert-level proficiency in Terraform, developing and maintaining reusable modules for automated provisioning, lifecycle management, and self-service enablement of Azure resources.\nBuild and enhance self-service capabilities, enabling development and product teams to securely and efficiently adopt cloud platform resources with minimal friction.\nDrive initiatives to scale and optimize Azure landing zone architecture for performance, reliability, and cost efficiency.\nIntegrate CI/CD pipelines for infrastructure deployments, leveraging Azure DevOps, GitHub Actions, and related tools.\nLeverage AI-powered coding tools: Utilize GitHub Copilot to accelerate infrastructure automation, improve code quality, and enhance developer productivity in Terraform, PowerShell, and Python scripts. Mentor team members on best practices for integrating Copilot into daily workflows.\nCloud Operations with MCP Servers: Use MCP servers such as Azure MCP server to support and optimize cloud operations, ensuring secure, scalable, and compliant environments.\nEnsure services maintain compliance with healthcare industry security standards, including HIPAA, HITRUST, and NIST 800-53.\nProvide best practices, standards, training, and general support for the cloud environment.\nCollaborate with peers to assign, prioritize, and complete product backlog items.\nParticipate in a weekly On-Call rotation to ensure the highest levels of system availability.\nWhat You Will Bring\nProven, hands-on expertise in Terraform and infrastructure as code principles, with a track record of enabling self-service cloud adoption.\nDeep experience with Azure landing zone architecture and deployment via Terraform.\nDemonstrated ability to scale and enhance landing zone capabilities in enterprise environments.\n10+ years of experience supporting mission-critical infrastructure services at a large organization, with a minimum of 5 years of experience working with Azure.\nExperience building cloud automation, including CI/CD pipelines using Terraform, PowerShell, ARM, and Azure DevOps.\nStrong understanding of Azure resource hierarchy, management groups, subscriptions, and governance.\nExperience with Azure networking, security, identity management, and automation tools.\nExcellent troubleshooting and technical problem-solving skills.\nKnowledge of healthcare security and privacy-related industry standards and frameworks (HIPAA, HITRUST, NIST 800-53).\nExperience working in an Agile SCRUM environment.\nGitHub Copilot Experience: Demonstrated proficiency in using GitHub Copilot to streamline code development, automate repetitive tasks, and support rapid prototyping of cloud infrastructure solutions.\nMCP Server Usage: Hands-on experience using MCP servers such as Azure MCP server for cloud operations, including configuration, monitoring, troubleshooting, and lifecycle management in enterprise-scale Azure environments.\nBonus: Knowledge of managing Azure Databricks and Azure AI Foundry resources is a plus.\nPreferred Qualifications\nBS/MS degree in Computer Science, Engineering, or a related subject.\nCertifications: Microsoft Azure Architect and Microsoft Certified Azure Administrator (Preferred).\nHashiCorp Terraform Associate certification.\nExperience with containerization (Docker, Kubernetes) and scripting (PowerShell, Python, Bash).\nStrong project management and organizational skills.\nExperience training or supporting teams in the adoption of AI-powered coding assistants such as GitHub Copilot.\nFamiliarity with MCP server architecture, deployment strategies, and integration with Azure landing zones, specifically using Azure MCP server for cloud 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