Google Cloud Operations Engineering

S3/Strategic Staffing Solutions has a Google Cloud Operations Engineering opportunity for a leading Financial Services client in Irving, TX. Please read further if you are interested in joining a leading organization!

Location: Irving, TX - Hybrid -3x on site and 2x remote

Duration: 12 months + possible extension

Pay Rate: $70-80/hr. W2. W2 only, we cannot do C2C at this time

Qualifications & Description

Google Cloud Systems Operations Engineer and Automation/Agentic AI Developer Focus

Required Qualifications:

• 9+ years of Engineering experience

Advanced Google Cloud Engineering & Operations (4 to 6 years)

• Deep expertise building and operating GCP environments: Compute Engine, VPC Networking, Load Balancers, Storage, IAM, Monitoring.
• Experience diagnosing, debugging, remediation, upgrades, patching, and RCA across GCP resources.
• Strong experience with GKE, Big Data Platforms, Cloud Armor, Configuration/patching, Terraform, VNETs, NSGs, App Gateways, Firewall/Load Balancers, Managed Identities, Policies, and Logs/Monitoring/Alerts.

Python Development and GCP API Automation (> 5 years)

• Strong production quality Python development/engineering skills.
• Hands on experience with Google Cloud SDK and MCP Servers for Python and automation across Compute, Network, Storage, IAM.
• Ability to build automated remediation workflows and operational tooling in Python and ability to add MCP tools/skills to manage the Google Cloud (GCP) operations.
• High code quality: Unit Tests, Vulnerability Management.
• Packaging & deployment experience: Helm/Containers (if used), CI/CD pipelines, Git workflows.
• System engineering experience and strong technical communication and documentation skills.

Agentic AI Development for GCP Operations (> 3 years)

• Experience developing agentic AI workflows for GCP operational tasks and remediation.
• Strong skills with LangChain, MCP server, A2A, Google ADK/Agents, or similar multi agent frameworks.
• Ability to develop tools/skills that allow agents to safely execute GCP operational actions.
• Ability to build tool calling agents using GCP APIs safely and deterministically.
• Experience building self hosted, Python based agentic systems (no Vertex AI, SageMaker, Bedrock, or managed AI platforms).

API Automation Platform (FastAPI / Flask)

• Ability to build, extend, and maintain a Python based automation platform (FastAPI or Flask).
• Experience designing AI driven operational endpoints and tooling layers for GCP.