AI Platform Engineer, VibeOps

Role summary

Payoneer employees use VibeOps to build and ship their own AI-powered apps.

You'll write code, run production, and support users, all at once. Much of the job is about people: most of our users aren't developers, and they work in Payoneer offices around the world.

Domain Core AI

Reports to Head of VibeOps

Works with AI Platform Lead

Hybrid 

Full-time

What you’ll do 

Build the platform

Features in the console, the deployment pipeline, the builder plugins for AI coding tools, and the shared app templates.

Run production

Share on-call with the AI Platform Lead, handle incidents, and keep the platform reliable and its costs under control.

Priority

Self-service

Cut support tickets as far as possible. Build self-service flows, documentation, and in-product assistants so builders solve problems on their own, then turn whatever still reaches you into a product fix.

Support and onboarding

Handle the requests self-service can't cover yet, and onboard new BU teams.

Governance

Implement and enforce the platform's governance and security controls (identity, secrets, egress, data handling, and auditability), and fix security findings at the platform level.

Backup and resilience

Own backups, disaster recovery, and restore testing for the platform and its apps' data, and make sure a failure never means lost work.

Work on the AI layer

The in-product assistants, their prompts, tools, and evaluations, and the feedback loops that improve them.

Build integrations

Connect the platform to enterprise identity, data, and internal systems, and give builders safe, standard ways to use them.

Who you are

• 4+ years building production software, with a background in information systems development and enterprise integrations (APIs, SSO, data flows, and business systems).
• Hands-on Cloudflare experience: Workers, D1, R2, KV, and Access, or strong serverless experience elsewhere and the ability to pick up Cloudflare fast.
• Strong TypeScript across backend and frontend (React).
• Applied AI experience: prompt and context engineering, tool use and agents, and evaluating LLM output. You've shipped at least one AI feature that people use.
• Daily, hands-on use of Claude Code, Cursor, or similar AI coding tools, and experience extending them by building plugins, skills, or MCP servers.
• CI/CD experience (Azure DevOps is a plus) and solid security fundamentals: authentication and authorization, secrets, and common web vulnerabilities.
• Excellent written and spoken English.

What Could Set You Apart

• Experience with Workers for Platforms or an equivalent multi-tenant or agent runtime, such as AWS Bedrock AgentCore or its Azure and GCP counterparts.
• Experience supporting non-technical users, or a user-facing support or solutions role.
• Hands-on experience implementing compliance controls in a regulated environment (SOX, PCI, or privacy), such as access reviews, audit trails, change management, and evidence for auditors.
• Experience with data platforms (for example BigQuery) and data governance.

You’ll thrive in this role if you’re:

• Self-taught- You taught yourself most of what you know, and you keep learning.
• Responsible- You don't wait for a ticket. You notice problems, fix them, and follow through until they're resolved.
• Adaptable- Models, tools, and priorities change every month. You re-plan calmly and keep shipping.
• A strong communicator- You can explain a platform limit to a finance analyst on another continent so they come away unblocked. You're patient with beginners.
• A team player- In a two-person team, you share the load: you document what you build, hand over cleanly, and cover for your teammate.
• Pragmatic- You prefer simple, supportable solutions to clever ones.

#LI-CD1