{"id":1631541,"url":"https://alion.io/job/prounlimited-senior-director-cloud-platforms","title":"Senior Director, Cloud Platforms","company":{"id":2546289,"name":"Magnit","domain":"prounlimited.com","url":"https://alion.io/company/prounlimited","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":220000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Cloudflare","optional":false},{"name":"Datadog","optional":false},{"name":"DNS","optional":false},{"name":"DynamoDB","optional":false},{"name":"FinOps","optional":false},{"name":"GitLab","optional":false},{"name":"GitLab CI","optional":false},{"name":"GitOps","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"New Relic","optional":false},{"name":"Okta","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"ServiceNow","optional":false},{"name":"Snowflake","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon S3","optional":true},{"name":"Azure","optional":true},{"name":"Helm","optional":true}],"status":"live","first_seen_at":"2026-09-29T10:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-21T21:57:27Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"About the Role \nThe Senior Director, Cloud Platforms will own Magnit's migration from on-premise infrastructure into the public cloud and build the cloud platform that our engineering organization runs on. This is a hands-on leadership role: you will set the strategy, then work shoulder-to-shoulder with your teams in the code, the pipelines, and the Kubernetes manifests. You will own the data center exit roadmap, the AWS-first landing zones underneath it, and the paved-road developer platform (GitLab CI/CD, Argo CD, EKS, Terraform) that makes doing the right thing the easy thing for product teams. Reporting to the Chief Information Officer, you will partner across Engineering, Security, Data, and Operations to move Magnit to an API-first, cloud-native architecture while improving reliability, security posture, and unit economics along the way. \n\nWhat You Will Do \nCloud Migration & Data Center Exit \nOwn the end-to-end on-premise to public cloud migration roadmap — wave planning, sequencing, readiness validation, cutover, and stabilization — with clear milestones, exit criteria, and success metrics. \nLead application portfolio assessment and disposition (rehost, replatform, refactor, retire, retain), building the business case and target architecture for each wave. \nDesign and operate secure, multi-account cloud foundations: landing zones, identity, networking, compute, storage, and Kubernetes. \nAct as the integration layer across infrastructure, application engineering, security, networking, finance, and vendor partners to keep migration waves on schedule and de-risked. \nRetire on-premise footprint on a committed timeline, and report progress, risk, and dependencies to executive leadership in plain business terms. \n\nPlatform Engineering & Developer Experience \nRun the cloud platform as an internal product with product teams as its customers — not as a ticket queue. \nDeliver golden paths for service creation, CI/CD, secrets, observability, and security through reusable templates, modules, and self-service tooling, with sensible escape hatches for teams with genuine edge cases. \nOwn GitLab-based source control and CI/CD standards, Kubernetes manifests, and GitOps delivery via Argo CD. \nDrive infrastructure as code and policy as code as the only way infrastructure changes, eliminating manual configuration and drift. \nAdvance containerized microservices and serverless patterns on AWS (EKS, Lambda, DynamoDB, Secrets Manager, ALB/NLB) as the default for new standalone services. \nMeasure and improve developer experience using DORA metrics, time-to-first-deploy, platform adoption, and direct developer feedback. \nPartner with the enterprise workflow effort to shift manual, human-in-the-loop processes to software-defined workflows (Temporal), removing people from steps that do not need them. \n\nReliability, Observability & Operations \nEstablish the SRE charter: SLIs, SLOs, error budgets, incident response, blameless postmortems, and disaster recovery with tested RTO/RPO targets. \nConsolidate fragmented monitoring into a unified observability platform across metrics, logs, traces, and alerting, standardizing instrumentation on OpenTelemetry and structured logging. \nLead observability platform direction and rationalization (New Relic as the strategic direction alongside existing Datadog usage), including agent fleet management, telemetry governance, and cost control. \nMove the organization from reactive monitoring to proactive, data-driven observability across business uptime, engineering excellence, and digital experience, with dashboards that serve both engineers and executives. \nDrive down MTTD and MTTR, and tie reliability goals directly to customer experience and business KPIs. \n\nSecurity, Networking & Resilience \nEmbed security and compliance by design: least-privilege IAM, secrets management, encryption in transit and at rest, and continuous control monitoring. \nOwn cloud network architecture end to end — VPC design, segmentation, transit connectivity, private link patterns, DNS, and native load balancing (ALB/NLB). \nOperate edge protection with Cloudflare for WAF, DDoS mitigation, bot management, and DNS, in partnership with the security organization. \nIntegrate enterprise identity into platform access patterns (Okta for external user authentication, Microsoft Entra for internal). \nPartner with the CISO organization on cloud security posture, audit readiness, and operational risk management. \n\nFinOps & Vendor Management \nEstablish cloud cost transparency, tagging discipline, showback/chargeback, and forecasting the business can trust. \nBuild unit economics (cost per workload, per environment, per client) and run a standing optimization backlog that lowers total cost of ownership as consumption grows. \nManage cloud, observability, and tooling vendor relationships, contracts, commitments, and renewals. \n\nLeadership & Influence \nBuild, lead, and develop a high-performing global organization spanning cloud engineering, platform engineering, SRE, and network engineering. \nSet the engineering bar through architecture review, code review, and hands-on participation — credibility at this level comes from doing the work, not describing it. \nDefine clear ownership boundaries between platform and product teams, and the engagement model for prioritization, funding, and decision-making. \nTranslate complex technical trade-offs for technical, non-technical, and executive audiences, including CIO and CDTO staff. \nChampion adoption of AI-assisted engineering and AI-driven operations, and ensure the platform supports enterprise AI, GenAI, and analytics workloads. \n\nWhat You Will Need \n12+ years of progressive experience in cloud, infrastructure, or platform engineering, with at least 5 years leading engineers and engineering managers. \nBachelor’s degree in Computer Science, Engineering, or a related field required; advanced degree preferred, equivalent professional experience considered. \nDemonstrated success leading a large-scale on-premise to public cloud migration or data center exit in a complex, matrixed organization — owned it, not adjacent to it. \nProven experience building or operating an internal developer platform at scale, with real adoption to show for it. \nGenuinely hands-on: you can still read and write the Terraform, the pipeline config, and the Kubernetes manifests — and in this role you will. \nDeep expertise in Kubernetes (EKS strongly preferred) and GitOps delivery patterns. \nStrong cloud networking depth — VPC architecture, segmentation, native load balancing, DNS, and hybrid connectivity. \nExperience with cloud security and edge protection, including WAF and DDoS prevention. \nTrack record of driving adoption and non-trivial organizational change, with comfort operating in ambiguity. \nAbility to convey complex technical information to technical, non-technical, and executive audiences. \nPreferred tech stack experience includes: \nCloud: AWS-first (not AWS-only); Azure for internal IT and Power BI workloads \nContainers & Orchestration: Kubernetes/EKS, Argo CD, Helm, serverless patterns (Lambda) \nCI/CD & IaC: GitLab source control and CI/CD, Terraform, policy as code \nAWS Services: DynamoDB, Secrets Manager, ALB/NLB, IAM, S3, CloudWatch \nNetworking & Edge: Cloudflare (WAF, DDoS, DNS), VPC design, transit and private connectivity \nData: PostgreSQL (relational standard), Snowflake (enterprise data warehouse), Power BI \nObservability: New Relic, Datadog, OpenTelemetry \nWorkflow & Integration: Temporal, API-first service design, ServiceNow \nIdentity: Okta (external), Microsoft Entra (internal) \nLanguages: Python primary; polyglot where the use case warrants \n\nCompensation: Salary range is $220,000-$230,000 USD annually. \nSalary rates are based on experience, skills, and geographic location.","description_format":"text","description_chars":7826,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":5,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-01T21:23:11Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 7 · green card filings: 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