GCP Solutions Architect

Quick Facts

• Role: GCP Solutions Architect

Description

Own end-to-end cloud-native system architectures and high-stakes technical decisions on GCP. Partner with client enterprise architects, product managers, and engineering leads as the primary technical authority. Lead AI-augmented software delivery (AI-SDLC), and design real-time streaming and scalable data/agent workflows using GCP services.

Responsibilities

• Define and own end-to-end cloud-native system architectures and GCP technical decisions.

• Provide technical leadership with enterprise architects, product managers, and engineering leads.

• Supervise engineering teams to enforce architectural governance, security baselines, and code quality standards.

• Operationalize AI-augmented software delivery (AI-SDLC) using spec-driven workflows and autonomous coding agents.

• Design real-time, event-driven streaming pipelines for vehicle test environments using Managed Kafka and GCP.

• Build scalable data pipelines and agent workflows integrating BigQuery, GCS, and Model Context Protocol (MCP) toolkits.

Requirements

• 10+ years in software engineering and backend development, including 2+ years as a Software or Enterprise Architect.

• Deep, hands-on expertise in GCP architecture, enterprise cloud design, and security.

• Practical experience with AI-SDLC, spec-driven development, and autonomous coding agents.

• Strong proficiency in TypeScript, backend microservices, and PostgreSQL data modeling.

• Experience with large-scale data processing using BigQuery and Cloud Storage.

• Experience building workflows with Model Context Protocol (MCP) data toolkits and AI agent frameworks.

• Hands-on experience with Managed Kafka for real-time streaming in connected vehicle, telematics, or hardware test environments.

Benefits

Benefits are not specified in the provided posting.