Senior Platform Engineer: GCP & AI Infra (Hybrid)

Whiztek Corp; Schaumburg (IL); Hybrid; USD 140,000 - 170,000; Full time

Job summary

Whiztek Corp is seeking a Senior Platform Engineer to own the Google Cloud Platform infrastructure for agentic AI workloads. You will design, build, and operate the end-to-end platform, from browser to AI agents and services, setting architectural direction and balancing cost, security, and latency.

You will collaborate with AI engineers to secure, observe, and run agents in production, creating reusable Terraform/OpenTofu modules and robust CI/CD pipelines for zero-downtime releases in a hybrid

Qualifications

• 6 years in platform, DevOps, cloud, or site reliability engineering.
• 3+ years working deeply on Google Cloud Platform.
• Hands-on production experience with Cloud Run including autoscaling, concurrency tuning, container optimization, min-instances and cold-start mitigation.
• Practical experience configuring Global HTTP(S) Load Balancers with path-based routing, Identity-Aware Proxy, and an API management layer for authentication and rate limiting.
• Strong command of Google Cloud Platform IAM: service account design, least privilege, Workload Identity, and authenticated service-to-service calls using ID tokens.
• Advanced Terraform or OpenTofu skills, including reusable modules, remote state management, and multi-environment structures.
• Experience building CI/CD pipelines with GitHub Actions and/or Cloud Build, including progressive delivery and automated rollback.
• Experience with Secret Manager and runtime configuration patterns that avoid rebuilding containers per environment.
• Solid observability experience with Cloud Logging, Cloud Monitoring, and Cloud Trace (or OpenTelemetry).
• Working knowledge of Python, enough to read, containerize, and troubleshoot agent code.
• A proven track record of making and defending architectural decisions, with clear communication for both technical and non-technical audiences.

Responsibilities

• Own the architecture and lifecycle of our Google Cloud Platform infrastructure, including design, provisioning, security, cost management, and ongoing operations, without needing step-by-step direction.
• Design deployment strategies for Python multi-agent systems built with Google ADK, choosing between the managed Agent Runtime/Agent Engine and Cloud Run based on workload needs.
• Architect the full request path for agentic products: frontend hosting, Global HTTP(S) Load Balancing, Identity-Aware Proxy, API Gateway/Apigee, backend orchestrators, and agent services.
• Enable real-time user experiences by supporting streaming responses from agents to the frontend, and reduce cold-start impact on latency-sensitive paths.
• Build a zero-trust security model with least-privilege IAM, keyless authentication through Workload Identity, and ID-token-based authentication for agent-to-agent and service-to-service calls.
• Design secure agent state and memory with Memory Bank and vector databases, keeping sessions persistent and tenant data strictly isolated.
• Implement rate limiting, secret rotation, and audit logging across the agent call graph and external API integrations.
• Build and maintain modular Terraform/OpenTofu for isolated Dev, QA, and Prod environments, with remote state, drift prevention, and safeguards against accidental production changes.
• Create CI/CD pipelines (GitHub Actions, Cloud Build) with zero-downtime releases, canary and blue-green traffic splitting, and fast rollback.
• Set up observability for agent workloads, including distributed tracing with Cloud Trace, structured logging, and custom metrics and alerts for agent reasoning loops, tool-call latency, and failures.
• Write and defend architecture decision records, and translate technical trade-offs into clear recommendations for leadership.

Skills

Platform engineering

DevOps

GCP

Cloud Run

Terraform/OpenTofu

CI/CD

GitHub Actions

Cloud IAM

Observability

Python

Containerization

Architecture decisions

Tools

Cloud Run

API Gateway/Apigee

Terraform

OpenTofu

GitHub Actions

Cloud Build

Cloud Logging

Cloud Monitoring

Cloud Trace/OpenTelemetry

Vertex AI/ADK

Job description

Whiztek Corp is seeking a Senior Platform Engineer to own the Google Cloud Platform infrastructure for agentic AI workloads. You will design, build, and operate the end-to-end platform, from browser to AI agents and services, setting architectural direction and balancing cost, security, and latency.

You will collaborate with AI engineers to secure, observe, and run agents in production, creating reusable Terraform/OpenTofu modules and robust CI/CD pipelines for zero-downtime releases in a hybrid