Specialty Software Engineer 4 - AI GCP

Google Cloud Systems Operations Engineer And Automation/Agentic Ai Developer Focus

In this contingent resource assignment, you may:

• Consult as an expert to develop or influence initiatives and resources for highly complex business and technical needs across Engineering.
• Consult on the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced analytical and inductive thinking.
• Provide expertise to client senior leadership on innovative Engineering business solutions.
• Strategically engage with client personnel.

Required Qualifications:

9+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

• 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.