
Platform Engineering Leader
3 days ago
Gelato is an AI-first, cloud-native platform that revolutionizes local, on-demand production and delivery with zero physical assets.
Key Responsibilities- Ensure 24/7 platform operations through proactive incident response and on-call support.
- Design and develop AI agents to automate scaling, recovery, and diagnostics using control-plane patterns and event-driven logic.
- Manage multi-cloud infrastructure, including serverless environments, through declarative and automated workflows.
- Collaborate with cross-functional teams to enhance DevEx with intelligent internal tooling.
- Drive reliability, observability, and cost-efficiency across Gelato's global infrastructure.
- Enable engineers with self-service, secure, and scalable delivery pipelines.
- Deep understanding of Linux fundamentals, including processes, I/O, filesystems, networking, memory management, and system internals.
- Extensive experience with AWS (primary) and GCP (bonus), including cost optimizations, EKS, networking, S3, VPC peering, IAM, and related services.
- Strong knowledge of Kubernetes internals, including networking, security, and cluster operations.
- Hands-on experience with GitOps workflows (e.g. ArgoCD) and Infrastructure as Code using Terraform.
- Proficiency in Python, Go, or other languages, with a willingness to learn Go if not already familiar.
- Comfortable working with AI development tools like Cursor, Claude, and coding with Large Language Models (LLMs).
Experience with or strong interest in building AI agents and RAG workflows, with a commitment to continuous learning.
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Digital Platform Leader
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Backend Engineering Leader
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Data Engineering Lead
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AI System Reliability Leader
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Innovative Product Leader
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Compliance Automation Leader
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Advanced Web Platform Engineer
3 days ago
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