ARS-Rescue Rooter

Design, deploy, and maintain Azure infrastructure, hybrid connectivity, migrations, automation, resiliency, security, and governance. | Requires at least five years of enterprise infrastructure engineering experience, including three years of hands-on production Azure work, hybrid networking, Terraform, migration planning, and a related bachelor's degree. | Company Name ARS-Rescue Rooter Overview The Azure Infrastructure Engineer is a hands-on infrastructure role that designs, builds, migrates, secures, and operates production Azure infrastructure extending our on-premises VMware and Windows datacenter. Focus areas: Azure networking, hybrid connectivity, virtual machines and platform services, disaster recovery, and migration execution. The role is DevOps-savvy, not DevOps engineering: the engineer uses Infrastructure-as-Code, Git, and pipelines to keep infrastructure repeatable and auditable, following and extending team standards. The engineer partners with Infrastructure, Networking, Security, Database, and Application Development teams and external consultants. Responsibilities Key Responsibilities Azure Infrastructure Engineering & Operations Independently design, deploy, and maintain Azure infrastructure: landing zones, management groups, VMs, storage, backup, monitoring, and governance. Troubleshoot connectivity, performance, access, and availability issues across VM, OS, network, DNS, firewall, and identity layers; perform root-cause analysis and implement durable fixes. Develop runbooks and operational standards; participate in incident response, change management (CAB), maintenance windows, and on-call. Hybrid Networking, DNS & Application Delivery Design and troubleshoot VNets, NSGs, routing/UDRs, hub-and-spoke or Virtual WAN, Azure Firewall, VPN Gateway, and ExpressRoute, including BGP and failover behavior. Design name resolution across Azure and on-premises (Private DNS, DNS Private Resolver, conditional forwarding). Implement private connectivity to PaaS services using private endpoints. Support application delivery with Front Door, Application Gateway, load balancing, and WAF, including TLS certificate lifecycle and failure-mode design when an edge service or policy fails. Work with Networking on firewall rules, IP addressing, NAT, and datacenter, branch, and third-party connectivity. Migration Execution Plan and execute VMware and Windows migrations to Azure: dependency assessment, Azure Migrate, lift-and-shift, test migrations, cutover, and post-migration support. Produce cutover plans, validation checklists, and rollback criteria; execute off-hours production cutovers. Support Azure infrastructure for SQL Server migrations (Always On to Azure SQL Managed Instance or SQL Server on Azure VMs). Maintain hybrid domain controllers, DNS, and AD integration for Azure workloads. Resiliency, Backup & Disaster Recovery Design and test DR using Site Recovery, geo-redundant storage, and region/availability-zone design against RTO and RPO targets. Operate Azure Backup and evaluate it against third-party backup and replication platforms for new Azure data stores; document and report recovery test results. Platform Services Infrastructure Provide infrastructure for App Service, Functions, Logic Apps, Service Bus, and API Management: VNet integration, private endpoints, identity, Key Vault, and monitoring. Support AKS at the platform level (private cluster, CNI, node pools, ingress, managed identity) with Application Development. Automation & Infrastructure-as-Code Build, modify, and troubleshoot Terraform following team standards: modules, remote state, environment separation, and drift. Use Git pull requests and code review; maintain Azure DevOps infrastructure pipelines, including approval gates and self-hosted agents reaching private endpoints. Automate operations with PowerShell and Azure CLI. Identity, Security & Governance Apply Entra ID, RBAC, PIM, Conditional Access, and managed identities to enforce least privilege and segregation of duties. Implement guardrails with Azure Policy, management groups, tagging, and Defender for Cloud. Partner with Security, Compliance, and Audit on PCI DSS, NIST, and CIS controls, remediation, and audit evidence. Observability & Cost Management Build Azure Monitor and Log Analytics alerts, workbooks, and dashboards; tune alert noise and logging volume; use Application Insights for tracing. Right-size and manage cost with Cost Management, Advisor, reservations, and savings plans, after establishing baselines. Collaboration & Cross-Training Share knowledge both ways: train teammates in Azure and cloud practices, and learn from them in their areas of expertise. Qualifications Required Qualifications Note: Candidates must demonstrate each item below with specific examples of work they performed as an individual contributor. Bachelor's degree in IT, Computer Science, Engineering, or related field; equivalent professional experience considered. 5+ years of enterprise infrastructure engineering, including 3+ years of hands-on production Azure. Hybrid networking: hands-on VNets, NSGs, routing, DNS, and ExpressRoute or site-to-site VPN; can explain tradeoffs and failure behavior. On-premises to Azure migrations: direct involvement in preparation, cutover, rollback planning, and post-migration support. Working knowledge of VMware vSphere, Windows Server, Active Directory, DNS, and Group Policy. Resiliency: Azure Backup and Site Recovery (or equivalent DR design) against RTO/RPO targets. Automation: working proficiency with Terraform (state, modules, environments), PowerShell, Git, and Azure DevOps infrastructure pipelines. Identity and governance: Entra ID, RBAC, least privilege, and Azure Policy. Independent troubleshooting and root-cause analysis of complex Azure issues. Experience supporting PCI DSS, NIST, CIS, or similar compliance requirements. Technical Skills Working knowledge Platform services: App Service, Functions, Logic Apps, Service Bus, API Management, Azure SQL Managed Instance, SQL Server on Azure VMs. Azure Virtual Desktop/FSLogix, Bicep/ARM, Defender for Cloud, and Sentinel. AKS, Docker, Helm, and Cosmos DB. Preferred Qualifications Azure certifications (AZ-104, AZ-305, AZ-700, AZ-500, AZ-400) or HashiCorp Terraform Associate; must be current. AKS platform operations, Azure SQL Managed Instance, or IIS/.NET application migrations. PCI DSS audit evidence, CrowdStrike or similar security platforms, and multi-site hybrid environments. Experience mentoring peers and using AI tools to speed scripting and troubleshooting. Work Details Remote; work day would be in Central Time Zone. Regular business hours with scheduled after-hours maintenance and cutovers, occasional incident response, and on-call as required; participation in change management (CAB). Occasional travel for project work, meetings, or datacenter activities.

Lead strategy, roadmap, and execution of enterprise AI products, coordinating cross-functional teams and driving adoption and measurable operational impact. | Requires at least five years in technology implementations, product management, or data-driven decision tools, with AI/ML knowledge, business case ownership, and cross-functional leadership in operational settings. | Company Name ARS-Rescue Rooter Overview Location: Remote Join American Residential Services, one of the nation’s largest providers of residential HVAC, plumbing, and electrical services with 7,000 team members and more than 50 years of experience. With 70+ locations in 24 states, coast-to-coast, we are growing and hiring professionals to help support our branch offices, field trades, call centers, and corporate office. The Senior Manager, AI Product leads some of ARS’s flagship AI-first products. These enterprise-scale initiatives apply machine learning, AI, and AI agents to how we serve our customers and drive profitable growth across the enterprise. This role reports to the VP, Data & Applied Intelligence (D&AI) and owns the measurable business outcomes of each flagship program, from strategy and business case through production adoption and value realization. You’ll serve as: Product lead for D&AI’s flagship AI products, beginning with AI-driven dispatch optimization for field service Outcome owner accountable for driving, measuring, and reporting the realized business value of each flagship Strategic partner to business leaders across operations, call center, marketing, finance, and IT who are partners in execution This role works cross-functionally with data engineering, data science, platform, business teams, and external implementation partners to turn complex operational problems into AI products that people trust, adopt, and that deliver measurable financial impact. Responsibilities Own product strategy, roadmap, and business case for a portfolio of flagship AI products, aligned to ARS’s enterprise transformation initiatives such as dispatch, call center, pricing and discounting, membership, marketing and conversion, and fleet and capital efficiency Define product vision, release plans, and success criteria for each flagship Translate operational problems into product requirements, success metrics, and acceptance criteria that data science and engineering teams can build against Arbitrate scope, sequencing, and trade-offs with operations, branch, finance, and IT; manage intake, backlog, releases, and dependencies across concurrent programs Own value measurement for each flagship: baselines, KPI definitions, experiment design (A/B tests and branch-level pilots), and attribution of benefit to the right business lever Lead pilot design, launch readiness, and scaled rollout, planning field-facing releases around seasonal peak-demand periods Own adoption and change management for each product including training, communication, and feedback loops with the business users it serves Guide decisions on where AI acts on its own and where people stay in the loop, weighing risk, accuracy, customer impact, and value Manage implementation partners and vendors; support build-vs-buy evaluations, statements of work, and renewals Ensure responsible AI: explainable recommendations, human override, model monitoring, and data governance, privacy, and compliance requirements are met Communicate progress, value, and risk to executive leadership in clear, business-first terms Build the AI Product function over time — practices, templates, and team — as the portfolio grows Success Measures: Flagship products delivered on the committed roadmap, with clear visibility into priorities, status, and risk Measured, auditable business value (revenue, margin, and cost) attributed to each flagship against an agreed baseline Strong adoption and sustained use across the business operations and functions each product serves Business owners and executive sponsors aligned on scope, sequencing, and success criteria A repeatable AI product playbook (discover, pilot, scale, measure) applied across flagships Core Competencies: Strategic Vision – Connects a multi-year AI roadmap to near-term, value-producing releases Accountability – Owns business outcomes, not just delivery Business Acumen – Ties product decisions to revenue, margin, and cost levers Systems Thinking – Understands how data, models, optimization, and workflows connect end to end Data-Driven – Uses experimentation and rigorous measurement to prove value Influence & Communication – Aligns executives, field leaders, and engineers without direct authority Change Leadership – Builds trust in AI with frontline users; earns adoption rather than mandating it Qualifications Qualifications: 5+ years leading technology implementations, data-driven decision tools, or product management, with a proven track record of delivering results An execution leader fluent in technology: a working understanding of data and core AI/ML concepts sufficient to partner credibly with data scientists and engineers Track record owning a business case and measuring realized value after launch Comfortable with KPI design, baselines, and test-and-learn measurement (e.g., pilots, A/B tests) Experience in field service, logistics, home services, or other multi-site operational businesses strongly preferred Experience leading adoption and change management for new tools or processes with frontline or operational teams Proven cross-functional leadership with operations, finance, marketing, IT, and external implementation partners Familiarity with Microsoft Fabric, Azure, Power BI, field service management platforms, or similar a plus Exposure to generative or agentic AI tools and AI governance a plus Comfortable working in Agile, PMO-led, or hybrid environments Bachelor’s degree in business, engineering, computer science, or a related field, or equivalent experience leading technology implementations Additional Requirements: Ability to lead multiple concurrent, high-visibility programs in a fast-paced environment Executive presence; effective communication across technical and non-technical audiences, from front-line employees to the C-suite Strong organization, attention to detail, and follow-through Ability to travel as needed (approximately 1–2 times per quarter)