Note: The job is a remote job and is open to candidates in USA. Agentic Software, Inc. builds AI systems that automate manual work and end-to-end business processes. The company is seeking a Senior Cloud Engineer to rebuild a multi-agent analysis engine using Google ADK on Google Cloud, while managing cloud infrastructure, deployment pipelines, observability, testing, and operational tooling.
Responsibilities
- Design and build parent/orchestrator agents and specialized subagents using ADK orchestration patterns
- Migrate existing Gemini Enterprise agents into maintainable, pro-code components
- Implement persistent workflow state, artifact handoffs, and reliable restart/recovery from last validated checkpoints
- Enforce JSON schemas, metadata requirements, and strict versioning to prevent invalid downstream artifacts
- Keep deterministic Python services cleanly separated from model-based reasoning
- Stand up and operate cloud runtimes, storage, IAM, secrets, environments, containerization, and automated CI/CD build pipelines
- Implement end-to-end logging and tracing for complete visibility into inputs, execution paths, and failure points
- Write automated tests for agents, orchestration paths, and schemas, while documenting the architecture for team handoff
Skills
- Must be based in the United States
- Demonstrated, hands-on development experience with Google ADK •(Hard Requirement)•
- Proven experience building multi-agent or orchestrated agent systems in ADK (beyond single-agent prototypes)
- Strong Python software development and hands-on Google Cloud Platform (GCP) engineering
- Hands-on experience deploying, hosting, containerizing, and operating production applications on GCP
- Direct experience with Gemini models, Vertex AI, or the Gemini Enterprise agent ecosystem
- Deep understanding of state management, tool invocation, callbacks, and workflow control
- Proficiency with REST APIs, JSON Schema contract validation, IAM, service accounts, and least-privilege security
- Cloud logging, tracing, distributed troubleshooting, and automated CI/CD testing
- Direct Google ADK experience is mandatory
- Experience with LangChain, LangGraph, or AutoGen is welcome
- Deployment of ADK agents to Google Cloud managed agent runtimes or Cloud Run
- Hands-on experience with Cloud Storage, Artifact Registry, Cloud Build, Cloud Logging, Cloud Trace, and Secret Manager
- Multi-agent design with strict context isolation between agents
- Human-in-the-loop (HITL) review and exception handling workflows
- Infrastructure as Code (IaC) and automated environment provisioning
- Production AI observability and agent evaluation frameworks
- Experience delivering structured datasets for downstream BI consumption
Benefits
- Remote (US-Based)
- Flexible Compensation
Company Overview