Senior IT Infrastructure Operations
AppsFlyer is looking for a Senior IT Infrastructure Operations to join our IT Infrastructure team in Herzliya, Israel. IT at AppsFlyer is not only a support function - it is one of the operating layers that enables the company's AI-native transformation. We are building an autonomous, AI-operated IT department: agents run the routine 24/7, humans stay in the loop, and autonomy is earned through gates. You will join a small InfraOps team that owns the company's identity, SaaS, IT cloud environment and endpoint foundations - and turns them into a governed platform that both people and AI agents can operate. This is a hands-on role for someone who designs at the architecture level, ships production-grade automation and internal products end-to-end, and treats documentation as part of "done" so that agents can run on it. What you'll do Identity & core systems Own and evolve our identity platform: Okta (SSO, tier groups, Workflows, SCIM, API Gateway), Just-In-Time access, and the full user and non-human identity lifecycle - service accounts, API keys, break-glass and audit. Administer, and harden core SaaS - Google Workspace, Slack, Zoom, Entitle, Microsoft 365 - and the AI platforms the company runs on (Claude, ChatGPT / OpenAI, Gemini, Cursor, etc.). Serve as Tier 3 escalation with real diagnostic depth: certificates, auth chains, cross-platform policy conflicts, MDM edge cases. Platform engineering Build and operate the IT Infra Platform on GCP - Cloud Run, VPC Service Controls, Cloud Armor, Terraform, GitHub Actions, secret management - and deliver internal products on it end-to-end: design → IaC → CI/CD → secured deploy → operate. Contribute to the AI Govern layer: usage governance, cost attribution and model access control. Automation Design automation across Make.com, Okta Workflows and deployed code, with APIs, webhooks and MCP as first-class integration surfaces. Own the health of what you build - monitoring, alerting, failure runbooks - and drive the backlog toward zero-touch self-service. AI-native IT & agents Build agents that execute real infra tasks with explicit action boundaries and stop/escalation conditions - from Tier-0 self-service to autonomous remediation. Apply prompt and context engineering and evaluation to real IT use cases; own skills and plug-ins in the company's AI framework. Write resolution notes, ADRs and runbooks so that agents (and teammates) can act on them. Endpoint, network & security Support the endpoint stack (Kandji, Intune, Airlock) and global office network (Meraki, FortiGate, Palo Alto Prisma) alongside the team. Partner with Security on vendor and app risk, shadow-AI and SaaS governance, and audit readiness - moving manual approvals to policy-as-code. What you have 5+ years hands-on in IT infrastructure, SysAdmin / InfraDevOps or platform engineering in a SaaS or high-growth tech environment. Deep, production-level command of Okta (or equivalent IdP) and enterprise SaaS administration - Google Workspace, Slack, Atlassian, Microsoft 365. Real cloud engineering: GCP (preferred) or AWS / Azure, Terraform or other IaC, containers, CI/CD, secrets management. Strong scripting and integration skills - Python and/or TypeScript, REST APIs, webhooks, OAuth. Proven experience designing and operating automation at scale (Make.com, n8n, Workato, Okta Workflows or similar), including monitoring and ownership of what you build. Hands-on experience building with LLMs (Claude and/or OpenAI APIs) and applying prompt and context engineering to real use cases. Security-minded by default (least privilege, zero trust, secret hygiene, audit trails), architecture-level thinking, and a habit of documenting so others - and agents - can run what you build. Self-directed and fast: you originate improvements rather than execute tickets, and you're comfortable learning a new tool this week and owning it in production the next. Strong written and verbal English. Bonus points Building internal tools / full-stack apps (React / Node / Python) with SSO-backed auth. Advanced LLM engineering: RAG, agent frameworks, MCP servers, LLM evaluation; AI gateway / LLM cost governance (LiteLLM, Bifrost, Vertex AI, Bedrock). MDM at depth (Kandji, Jamf, Intune) and cross-MDM scripting; network fundamentals or global office rollouts. Relevant cloud, Terraform or Okta certifications - or the equivalent hands-on experience. Why this role You will be one of a handful of engineers turning IT into a platform that agents operate - with a real say in what we build and how, ownership of production systems used by the entire company, and a mandate to build the next generation of autonomous IT. New AI and infrastructure technologies land on our desk constantly; you'll be the one evaluating them, adapting them to how AppsFlyer works, and taking the ones that earn it into production. As a global company operating from 25 offices across 19 countries, we reflect the human mosaic of the diverse and multicu
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