{"id":1356665,"url":"https://alion.io/job/wme-senior-platform-engineer","title":"Senior Platform Engineer","company":{"id":1780327,"name":"WME","domain":"wmeagency.com","url":"https://alion.io/company/wmeagency","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-30T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Beverly Hills, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":142500,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":142500},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Bicep","optional":false},{"name":"CIS Benchmarks","optional":false},{"name":"Datadog","optional":false},{"name":"FinOps","optional":false},{"name":"Grafana","optional":false},{"name":"ITIL","optional":false},{"name":"Least Privilege","optional":false},{"name":"NIST CSF","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenTofu","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Splunk","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-07-16T00:00:00Z","employer_posted_date":"2026-07-16","last_verified_at":"2026-10-01T04:11:14Z","board_verified":true,"closed_at":null,"days_open":77,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":77},"description":"Position Summary\nThe Senior Platform Engineer is the senior engineer who owns WME Enterprise IT's platform estate - the cloud and core platforms the business runs on, with Microsoft Azure at the center. The role builds, automates, secures, and continuously improves these platforms, within the enterprise architecture and standards set by the Principal Enterprise Architect. It manages platforms, not people: there are no direct reports.\nThe role sets how WME's platforms are engineered and operated - landing-zone and subscription design, infrastructure-as-code, configuration and policy-as-code, observability, resilience, and cost. It establishes the standards and automation that keep the estate consistent, secure, scalable, and cost-effective, and partners with the teams that run day-to-day operations so the platforms stay reliable as they evolve.\nScope & Boundaries\nThis role owns the engineering of the platform estate and is fenced explicitly against adjacent functions:\n In scope: deep engineering of the IT platform estate - Microsoft Azure and hybrid cloud (landing zones, subscriptions, management groups), infrastructure-as-code, configuration and policy-as-code, platform observability and monitoring, platform resilience and DR posture, platform-level security guardrails, and cloud cost / FinOps - implemented within the enterprise architecture and standards set by the Principal Enterprise Architect (#55).\n Relationship to the Principal Enterprise Architect (#55): this role builds and operates within the cloud / platform standards #55 sets, and feeds real-world platform learnings back into those standards. It owns the deep engineering, build, operation, and product-project work - not the enterprise standards themselves.\n Alongside the server & cloud infrastructure function: that team operates and runs the underlying infrastructure day to day - compute, virtualization, server lifecycle, and routine cloud operations. This role owns the platform architecture, automation, and engineering standards the estate is built and governed by; the infrastructure team operates within those standards. Where the two meet - cloud infrastructure in particular - this role sets the engineering standard and senior leadership adjudicates any blurred lines. (Confirm this split before posting.)\n Alongside network engineering: the network underlay remains with network engineering; this role owns platform-level networking patterns in the cloud (landing-zone networking, connectivity design) in partnership.\nDistinct from AI & digital workplace engineering: that role owns AI in the M365 / end-user digital workplace; this role owns the AI platform services and infrastructure within the estate. The two coordinate where AI tooling and platform patterns overlap.\nHow This Team Works\nEnterprise IT runs on one idea: operational excellence - platforms that just work, problems fixed at the root, and an engineering bar that keeps climbing. As a senior platform engineer, this role holds that bar high across the estate. Six operating foundations describe how the IT function works, and a Senior engineer here models all six.\nService management, done right. Brings ITIL and service-management discipline into platform design and operation, so the estate is reliable by default - and codifies the patterns others follow.\nContinual improvement. Treats every recurring failure, metric, and cost signal as input; ships measurable platform improvements and retires toil.\nAI fluency. Operates at the leading edge of AI-augmented engineering and owns how AI platform services are provisioned, secured, and run across the estate.\nOwnership and documentation. Owns the platform estate end to end and leaves reference architectures, runbooks, and decision records that scale beyond any one engineer.\nSecurity and risk by default. Builds security into the platform - landing-zone guardrails, least privilege, policy-as-code - and partners with governance where decisions carry real weight.\n Cost and reliability discipline. Treats cost and reliability as first-class platform outcomes; engineers the estate to be resilient, observable, and economically run.\nKey Responsibilities\n1. Cloud Platform Architecture & Engineering (Azure & Hybrid)\nOwn the architecture and engineering of WME's Azure and hybrid cloud platform - landing zones, subscriptions, management groups, and governance (Azure Policy).\nDesign platform patterns for scalability, resilience, and security that the rest of IT builds on.\nIntegrate cloud platforms with core on-prem and hybrid systems; own the platform-level integration patterns.\nDrive the platform roadmap and modernization - evaluate, pilot, and adopt new platform capabilities under controlled evaluation.\n2. Automation, Infrastructure-as-Code & Configuration\nEstablish and own infrastructure-as-code standards and reusable modules for the estate (Terraform / OpenTofu, Bicep, ARM, or equivalent).\nImplement configuration-as-code and policy-as-code so the estate is consistent, governed, and auditable by default.\nAutomate provisioning, drift management, and lifecycle across platforms; reduce manual operations and toil.\nProvide the IaC and automation patterns that operations teams consume rather than building from scratch.\n3. Platform Reliability, Observability & Operations\nOwn platform observability and monitoring across the estate (logs, metrics, traces; Azure Monitor, Grafana, Datadog, Splunk, or equivalent).\nEngineer for resilience and availability; own the platform-level DR and business-continuity posture in partnership with infrastructure and BCDR owners.\nLead platform incident and problem response and drive continual service improvement using telemetry and trends.\nDefine platform health, capacity, and performance standards and report on them.\n4. Platform Security, Governance & Cost\nEngineer platform-level security guardrails - landing-zone controls, identity-at-platform-layer, secrets management, and policy-as-code - in partnership with the cybersecurity governance function.\nApply hardening and compliance baselines (CIS Benchmarks, NIST CSF, Azure Well-Architected) across the estate.\nOwn cloud cost and FinOps - visibility, optimization, and capacity planning across platforms.\nManage platform tooling and cloud-vendor relationships at the engineering level; flag risk early.\n5. AI Platform Services - Named Scope\nServe as the named owner of the AI platform layer within the estate - the platform services and infrastructure that AI workloads run on (Azure AI / Azure OpenAI and equivalents, AI compute and supporting infrastructure).\nEstablish how AI capabilities are provisioned, secured, observed, and cost-managed as platform services.\nImplement platform-level guardrails for AI workloads - access, data boundaries, model-artifact integrity, and supply-chain considerations - in partnership with the cybersecurity governance function.\nSupport the AI program's foundation and pilot phases at the platform layer and report AI platform outcomes to leadership.\n6. Technical Leadership & Cross-Pillar Collaboration\nServe as a senior platform engineering voice across the IT function - apply and help shape platform standards within the enterprise architecture set by the Principal Enterprise Architect (#55).\nProvide architectural input on cross-pillar decisions where platform impact is significant; participate in architecture forums, design reviews, and RFCs.\nMentor engineers across pillars on platform engineering and cloud architecture - through influence and example, not people management.\nBrief senior leadership on platform strategy, risk, tradeoffs, and investment needs.\nRequired Qualifications\n8+ years of infrastructure, cloud, or platform engineering experience with progressive responsibility.\n5+ years engineering cloud / IT platforms at enterprise scale.\nDeep Microsoft Azure platform expertise - landing zones, subscriptions and management groups, Azure Policy / governance, networking, and identity integration (Entra) at enterprise scale; hybrid environments.\nStrong infrastructure-as-code expertise (Terraform / OpenTofu, Bicep, ARM, or equivalent) including module design, governance, drift, and lifecycle.\nConfiguration-as-code and policy-as-code experience; automation and scripting (PowerShell, Python, Go, or equivalent).\nHands-on experience with observability and monitoring platforms (Azure Monitor, Grafana, Datadog, Splunk, or equivalent).\nPlatform reliability, resilience, and disaster-recovery engineering at enterprise scale.\nPlatform security engineering - guardrails, hardening baselines (CIS / NIST), secrets, and least-privilege patterns.\nCloud cost / FinOps discipline - visibility, optimization, and capacity planning.\nDemonstrated experience as a senior engineer with cross-team technical influence; able to brief leaders and engage substantively with engineering teams.\nPreferred Qualifications\nExperience owning or operating AI platform services / infrastructure (Azure AI, Azure OpenAI, or equivalent) at enterprise scale.\nMulti-cloud or complex hybrid platform experience.\nRelevant certifications - Azure Solutions Architect Expert (AZ-305), Azure Administrator (AZ-104), HashiCorp Terraform Associate, or equivalent.\nExperience with platform governance and Well-Architected review practices at scale.\nFamiliarity with security and reliability frameworks such as CIS Benchmarks and NIST CSF 2.0.\nExperience working in entertainment, media, or similar high-velocity, high-confidentiality industries.\nBackground contributing to open-source platform or infrastructure tooling or community.\nSuccess Criteria - 30 / 60 / 90 / 12 Months\nFirst 30 days - Map & Baseline\nMap the current platform estate - Azure footprint, governance state, IaC and automation coverage, observability, security posture, and cost profile - and the biggest sources of risk and toil.\nEstablish working partnerships with infrastructure operations, network, security / governance, and engineering leadership.\nBaseline current platform reliability, security, and cost metrics where data exists.\nFirst 60 days - Frame the Estate\nDeliver a platform target architecture and engineering operating model - landing-zone and governance design, IaC and policy-as-code standards, observability approach, and the AI platform foundation.\nPublish the first reference architecture and at least one reusable IaC / policy module for adoption.\nEstablish a cross-pillar architecture and platform-standards cadence.\nFirst 90 days - Build & Pilot\nPlatform architecture and standards documented; landing-zone and governance guardrails defined and piloted.\nObservability and reliability baseline improvements shipped; platform DR posture assessed.\nAI platform-services foundation stood up to support the AI program's pilot-phase needs (Q3-Q4 2026).\nFirst 12 months - Scale & Sustain\nIaC and policy-as-code adopted as the standard for the estate, with measurable governance and drift improvements.\nMeasurable improvements in platform reliability and cloud cost efficiency; toil reduced through automation.\nAI platform services operating as the consumed standard across the estate.\nEstablished as the trusted platform-architecture authority across IT, with documented influence and mentorship across pillars.\nKey Working Relationships\n Internal - Enterprise IT: senior leadership, Infrastructure & Enterprise Services (reporting line); the server & cloud infrastructure function; network engineering; the cybersecurity governance function; the AI & digital workplace engineering function; engineering leaders and senior ICs across pillars.\n Internal - Cross-functional: Information Security; Procurement; Finance / FP&A (cloud cost); engineering stakeholders across business units.\n External - Vendor partners: Microsoft (Azure platform and support); cloud, IaC, and observability tooling vendors; the managed security services partner for security-control coordination.\nEqual Employment Opportunity\nWME is an Equal Opportunity Employer. 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