Job Summary

Builds and automates the engineering layer to deploy, integrate, secure, and operate enterprise agentic systems. Delivers reusable automation, integrations, and secure execution environments so teams can ship agentic solutions consistently, independent of the specific agent platform or runtime.

The Team

We are building the engineering foundation that makes enterprise agentic systems reliable, secure, and scalable across S&P; Global. Our team sits at the intersection of platform engineering, cloud infrastructure, and AI workflow automation.

Key Responsibilities

- Build reusable automation for agent deployment, provisioning, configuration, and lifecycle management.
- Implement secure, isolated, ephemeral execution environments for coding agents and automated engineering workflows.
- Develop integrations with agent platforms, enterprise APIs, MCP servers, and security tools, so new agents onboard without one-off plumbing.
- Automate testing, evaluation, versioning, release, and deployment of agent configurations and skills through standardized CI/CD.
- Enforce least-privilege access, secrets management, and audit logging for agent workflows.
- Add telemetry, health checks, retries, timeouts, approval gates, and rollback to keep workflows reliable.
- Build reusable scripts, APIs, IaC modules, and libraries, and document them for use across teams.




- Troubleshoot integration and runtime issues, and work with architects and use-case teams to turn designs into deployable solutions.

Core Skills Required

- Strong Python, Go, or similar programming and scripting skills.
- Hands-on experience with REST APIs, SDKs, authentication, and system integrations.
- Containers, Docker, Kubernetes, or sandboxed execution environments.
- CI/CD, Git, infrastructure as code, and automated deployment.
- IAM, secrets management, secure software delivery, and auditability.
- Logging, monitoring, and operational automation.
- Ability to build reusable components rather than one-off scripts, across diverse and evolving tech stacks.

Qualifications

- 8-10 years in platform engineering, infrastructure automation, DevOps, or software engineering.
- Experience in secure/regulated enterprise environments preferred.
- Nice to have: experience integrating coding agents or AI agent platforms (e.g., Devin, Claude Code), plus familiarity with LLM agents, MCP, and AI workflow automation.
- Nice to have: experience building ephemeral environments for automated code execution, testing, or remediation, and familiarity with vulnerability management and security tooling.

Location - Gurugram,Noida,Uttarpradesh,Hyderabad

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