You’ll help build the core engineering platform that makes enterprise‑scale AI agents reliable, secure and easy to ship across the organization. The role focuses on automating deployment, integration and runtime environments so teams can deliver agentic solutions consistently.
What You’ll Do
- Design reusable automation for agent deployment, provisioning and lifecycle management.
- Create secure, isolated, ephemeral execution environments for coding agents and workflows.
- Build integrations with agent platforms, enterprise APIs, MCP servers and security tools.
- Implement CI/CD pipelines for testing, versioning, release and deployment of agent configurations.
- Enforce least‑privilege access, secrets management and audit logging for all agent workflows.
- Develop reusable scripts, APIs, IaC modules and documentation for cross‑team consumption.
What You Need
- 8–10 years in platform engineering, DevOps or software engineering.
- Strong Python or Go programming and scripting expertise.
- Hands‑on experience with REST APIs, SDKs and system integration.
- Proficiency with containers, Docker, Kubernetes and sandboxed runtimes.
- Deep knowledge of CI/CD, Git, IaC and automated deployments.
- Experience with IAM, secrets management, auditability and secure software delivery.
- Ability to build reusable components across evolving tech stacks.
Good to Have
- Experience integrating AI coding agents or LLM‑based platforms (e.g., Claude Code).
- Familiarity with MCP, AI workflow automation and ephemeral execution environments.
The Opportunity
S&P Global’s 35,000‑strong global workforce empowers customers with essential intelligence, and the team values integrity, discovery and partnership.