Above is building the AI-native platform for insider risk management — where humans and AI agents operate side-by-side inside the enterprise.

We're backed by tier-1 global VCs, led by second-time founders, and already deployed inside security teams that operate at real scale. Our product does not exist without AI — and neither does this role.

We're looking for a Senior DevOps Engineer who is AI-obsessed.

If you still "dabble" with AI tools, this is not the role.

If AI agents are already part of how you think, design, debug, and ship — read on.

What you'll do

• Build and operate AI-native infrastructure powering:
• Autonomous and semi-autonomous AI agents
• High-volume inference, streaming, and event-driven pipelines
• Treat Claude Code / Codex / AI copilots as first-class infrastructure, not accessories
• Design systems where humans + AI agents collaborate safely in production
• Own AWS infrastructure with a focus on reliability, cost efficiency, and scale
• Build CI/CD pipelines where AI is embedded in:
• Code generation
• Reviews
• Infra changes
• Incident response
• Harden production systems for enterprise-grade security and compliance
• Work extremely closely with backend, security, and AI engineers — zero silos
• Take real ownership of production (on-call included)

Hard requirements (non-negotiable)

• 5+ years in DevOps / Infrastructure / Platform Engineering
• Daily, heavy usage of AI coding tools (Claude Code, Codex, Cursor, Copilot, or equivalent — not "occasionally")
• Proven experience building or operating AI-driven systems
• Strong AWS production experience
• Kubernetes, containers, and Terraform (or equivalent IaC)
• Comfort shipping fast, breaking things safely, and fixing them properly
• 5 days a week in our Tel Aviv office

You are likely a fit if

• You already default to AI before writing infra or code by hand
• You think in terms of agents, workflows, and feedback loops
• You've automated parts of your own job out of existence
• You're opinionated about how AI should be used in engineering
• You get impatient working without strong tooling and autonomy

Nice to have (strong signal)

• Experience running LLM workloads (inference, embeddings, orchestration)
• Exposure to security-sensitive or regulated environments
• Prior work on internal developer platforms or infra abstractions
• Startup experience where ownership > process

Why Above

• This company is AI-native by default — not retrofitted
• You'll help define how AI agents operate in production at enterprise scale
• Tier-1 backing, real customers, real urgency
• Second-time founders, fast decisions, no theater
• Office-first culture focused on speed, clarity, and craft