Platform Engineering Manager

*Applicants must be authorized to work in the U.S. for any employer. *We cannot sponsor employment-based visas at this time. Let s Tango! Where Innovation Meets Impact. At Tango Analytics, we re all about helping businesses make smarter decisions through powerful technology, insightful data, and a whole lot of collaboration. Whether you're a creative thinker, a strategic planner, a tech wizard, or a customer champion, there's a place for you on our team. We believe work should be meaningful and fun - so if you're ready to make a difference while enjoying the journey, come join us and let's Tango! We are looking for a Platform Engineering Manager to join our dynamic and growing Platform Engineering team. About the Role: We are seeking a Platform Engineering Manager to build and operate our AI-native Internal Developer Platform (IDP)-the foundational layer that powers engineering velocity across the organization. You will own multi-cloudinfrastructure (AWS & Azure), define golden paths, drive cloud modernization aligned to Well-ArchitectedFrameworks, and deliver the observability, shared services, and agentic infrastructure that give every team aproduction-ready foundation. A defining dimension of this role is partnering with peer engineering leaders to activelymigrate teams onto the platform and positioning it as the organization's AI-first engineering foundation. Key Responsibilities:Platform Strategy & Architecture • Own and execute thePlatformroadmap: compute, networking, identity, observability, shared services, and AI/MLtooling across AWS and Azure • Lead cloud modernization against the AWS and Azure Well-Architected Frameworks across all five pillars:operational excellence, security, reliability, performance efficiency, and cost optimization • Define golden paths-standardized self-service workflows for service scaffolding, DB provisioning, environmentspin-up, and AI workload deployment-with escape hatches for edge cases • Own multi-cloud strategy; ensure consistent IAM, networking, and FinOps governance across providers IaC & CI/CD Automation • DriveOpenTofu/Ansibleas source of truth for all infrastructure; enforce GitOps and policy-as-code for governance,auditability, and security • Build and mature CI/CD pipelines (GitHub Actions, ArgoCD) to maximize deployment frequency, reduce lead time,and enable zero-ticket self-service provisioning Observability • Own org-wide observability: metrics, logs, traces, and alerting-extended to AI/LLM signals (token usage, modellatency, inference cost, agent task completion rates) • Operate a centralized observability platform (Datadog/Signoz, OpenTelemetry, Grafana/Prometheus/Loki, orequivalent) delivered via golden paths; define SLIs/SLOs as onboarding defaults for all services • Ensure full-stack coverage across infrastructure, Kubernetes, APM, distributed tracing, AI pipelines, and costanomaly detection Shared Services • Build and operate a self-service shared services catalog: secrets management, API gateways,model registries, andLLM gateways • Rationalize duplicative per-team infrastructure; maintain shared services to production SLA standards with clearownership and consistent security controls AI Platform & Agentic Infrastructure • Own GPU/accelerated compute, model serving, vector databases, RAG pipelines, and LLM API gatewaymanagement (AWS Bedrock, Azure OpenAI, Anthropic) • Build AI golden paths for self-service model deployment and LLM integration; design agentic infrastructure includingorchestration runtimes, tool registries, memory/state services, and human-in-the-loop workflows • Establish governance, cost controls, prompt injection guardrails, and model access policies for AI API usage andinference spend • Partner with data science and ML engineering to translate agentic workflow requirements into reusable platformprimitives Platform Adoption & Team Migration • Collaborate onmigration program: partner with peer managers to plan and execute structured workload migrationsonto the platform with hands-on support-not just documentation • Define onboarding playbooks covering golden paths, shared services, observability setup, CI/CD cutover, and AIcapability onboarding; track and report adoption metrics to leadership • Identify and remove migration blockers-technical gaps, missing services, or organizational friction-and feedthem into the platform roadmap Developer Experience, Leadership & Culture • Build a self-service developer portal (Backstage, GitHubor equivalent) with service catalogs, golden paths, andAI/agentic workflow templates; track DORA metrics and developer experience KPIs • Hire, develop, and retain high-performing platform engineers; build AI fluency across the team and foster a platform-as-a-product culture with feedback loops, OKRs, and iterative roadmapping • Lead architecture reviews; make pragmatic build-vs-buy decisions; partner with security and compliance ongovernance priorities Security, Compliance & ...