GCP Cloud Engineer

2 days ago

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Neurons Lab

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Neurons Lab is a globally distributed AI R&D company that helps deep tech innovators to accelerate data-driven products development and launch. Our team has expertise in fundamental sciences, full-stack AI/ML engineering, and product design. Such a rare combination and access to scarce talent allows Neurons Lab to build disruptive solutions for clients in HealthTech and EnergyTech industries. Neurons Lab operates within a proprietary delivery framework that is tailored to the innovation environment: fierce competition, tight timelines, little-to-none datasets, and the necessity to generate novel solutions.

51 - 200 employees

💰 Corporate Round on 2022-10

📋 Description

• Build and maintain GCP infrastructure using Terraform - develop reusable modules for GenAI patterns • Deploy and manage applications on GKE - Kubernetes manifests, Helm charts, container security • Containerize applications with Docker - multi-stage builds, optimization, security • Develop Python applications: FastAPI backends, GenAI integration (RAG, LLM apps, chat interfaces) • Deploy GenAI model serving: Vertex AI endpoints, containerized models on GKE, vector databases • Implement CI/CD pipelines: Cloud Build, GitHub Actions, automated testing and deployment • Security & compliance: IAM, VPC Service Controls, encryption, banking regulations (PCI-DSS, GDPR, MAS TRM) • Cost optimization: GPU/TPU workload optimization, spot VMs, auto-scaling, monitoring • Manage GPU resources, ML pipelines, model performance monitoring • Contribute to architecture design, create technical specifications, and provide engineering insights

🎯 Requirements

• 5+ years in cloud engineering, DevOps, or solution architecture roles • 2+ years hands-on with GCP (GCE, GKE, Vertex AI, etc.) + AWS experience is a strong plus • 2+ years with Terraform for GCP - reusable modules, automation, standardization • 2+ years with Kubernetes (GKE preferred) and Docker - production clusters, security • 2+ years Python programming - APIs (FastAPI/Flask), GenAI applications • GenAI/ML workloads (strong plus) - LLM apps, RAG systems, GPU/TPU compute • Banking/FSI experience (strong plus) - financial services clients, compliance, security

🏖️ Benefits

• Duration: Part-time long-term engagement with project-based allocations