Wisewire · 5 hours ago
Senior Platform Engineer
United States
Contract
Remote
Senior LevelWisewire is seeking a part-time Senior Platform Engineer / Cloud Architect to help scale an internal generative AI capability into a secure, enterprise-grade platform built on Google Cloud Platform (GCP). The role focuses on building production-ready infrastructure for AI-enabled systems and partnering with product, design, and engineering stakeholders to ensure platform stability and performance as usage grows.
E-LearningEducationInternetMarketplace
Responsibilities
Design and implement a production-grade architecture on Google Cloud Platform supporting AI-enabled applications
Leverage managed AI services (e.g., Vertex AI) to support scalable model execution and orchestration
Establish high-availability, fault-tolerant infrastructure with defined uptime targets
Implement best practices for environment separation (dev / staging / production)
Design and maintain centralized backend systems suitable for multi-user, multi-project workflows
Build secure, scalable data models using cloud-native databases
Ensure strong data governance, access control, and lifecycle management
Build and maintain automated CI/CD pipelines integrated with cloud-native services
Introduce release discipline that supports safe, incremental delivery
Support ongoing platform evolution without disrupting core users
Support production use of LLM-powered systems deployed via managed cloud AI platforms
Design platform-level patterns for context handling, orchestration, and reliability
Enable non-engineering teams to work effectively with AI-powered tools without needing direct cloud or API access
Establish observability across services (logging, metrics, tracing)
Define and monitor SLOs, alerts, and operational dashboards
Implement cost controls and usage monitoring across AI services and APIs
Design quota, rate-limiting, and governance mechanisms appropriate for enterprise-scale usage
Design secure integrations between the AI platform and external enterprise systems
Implement IAM, secrets management, and service account strategies aligned with GCP best practices
Ensure tenant isolation, auditability, and compliance-aware design
Qualification
Required
Proven experience taking prototype or early-stage systems into production on a major cloud platform
Strong instincts around reliability, scalability, and operational safety
Ability to design platforms that empower downstream users—not just engineers
Deep hands-on experience with Google Cloud Platform, including: Managed compute and serverless services, Cloud-native storage and messaging, IAM, service accounts, and environment governance
Experience working with Vertex AI or comparable managed ML platforms in production environments
Experience supporting production AI/ML applications, including LLM-based systems
Strong backend engineering skills (APIs, workflows, async processing)
Understanding of operational patterns such as retries, idempotency, and failure handling
Experience with CI/CD pipelines and infrastructure automation
Comfort with infrastructure-as-code tools
Strong release hygiene: versioning, migrations, rollback strategies
Preferred
Google Professional Cloud Architect or Professional Machine Learning Engineer certification
Experience building or supporting enterprise AI platforms
Background in platform, infrastructure, or staff-level engineering roles
Company
Wisewire
A learning experience design company focused on improving access to high-quality digital learning materials to engage and inspire students.
Founded in 2015
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Laura Seuschek
Chief Operating Officer
Company data provided by crunchbase