GCP Architect, Platform Engineer – Enterprise Cloud & AI Platform

🕒 March 6

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 76%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Opplane

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

🤖 Artificial Intelligence

💳 Fintech

☁️ SaaS

🔥 Funding within the last year

💰 Accelerator/Incubator on 2025-12

Artificial Intelligence • Fintech • SaaS

Opplane is a software company that helps organizations unlock the value of data through connectivity, data governance, and generative AI. It focuses on applying AI-driven data solutions to regulated environments, especially banking and fintech, enabling compliance, secure data connectivity, and AI use cases for financial services and enterprises.

📋 Description

• Design and maintain enterprise GCP landing zones aligned with governance and security standards • Build and operate shared cloud services supporting both AI and non-AI workloads • Implement Infrastructure as Code (Terraform) for platform, networking, and AI service enablement • Enable secure hybrid connectivity and controlled data access patterns • Engineer and operate GKE clusters for application and AI inference workloads • Standardize containerized deployment patterns using approved base images • Support GPU-enabled workloads where required • Enable scalable deployment of AI APIs and services • Enable and operate approved Google AI services, including: Vertex AI, Gemini APIs, and other managed GenAI services • Implement secure access controls, networking, and monitoring for AI services • Partner with Data & AI teams to operationalize AI workloads safely and compliantly • Build secure CI/CD pipelines for cloud and AI workloads

🎯 Requirements

• 5+ years of experience in cloud, platform, or DevOps engineering • Strong hands-on experience with Google Cloud Platform • Expertise in Terraform and Infrastructure as Code • Experience operating Kubernetes (GKE) in enterprise environments • Proficiency in scripting (Python, Bash, or Go) • Strong understanding of cloud security, IAM, and networking • Experience working in regulated or highly governed environments

🏖️ Benefits

• Global & Multicultural – Diverse perspectives, global collaboration (US, Portugal, India and Singapore offices) • Startup Energy – Fast-moving, impact-driven environment • Ownership Mindset – Engineers own what they build • Collaborative & Friendly – Open, curious, and supportive culture

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