Senior DevOps Engineer

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

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