About the Role
We are seeking a Senior DevOps / Platform Engineer with deep AWS expertise to evolve and operate our core cloud platform, while enabling Enterprise-grade Agentic AI capabilities on top of established infrastructure. This role is focused on platform stability, scalability, and developer enablement, ensuring that traditional services and emerging agentic systems coexist securely and reliably. You will play a key role in transforming our platform into a foundation that supports AI-augmented and agentic SDLC workflows, without compromising operational excellence.

Responsibilities
Design, build, and operate a shared AWS cloud platform that supports both traditional services and agentic AI workloads.
Own and evolve Infrastructure as Code (IaC) using Terraform, ensuring consistency, security, and repeatability across environments.
Extend existing infrastructure to support Enterprise-grade Agentic AI systems, including:
Execution runtimes for autonomous and semi-autonomous agents
Secure access to data, services, and APIs
Platform-level guardrails for safety, governance,



and cost control
Build platform abstractions, templates, and tooling that enable teams to safely consume agentic capabilities.
Support and integrate agentic SDLC tools and processes, including AI-assisted development, testing, and release automation.
Develop and maintain CI/CD pipelines for both traditional applications and AI-driven components.
Implement platform-level observability (metrics, logs, traces) across services and agent workloads.
Enforce security and compliance best practices (IAM, secrets management, encryption, least privilege).
Collaborate closely with application, AI/ML, and security teams to improve developer experience and platform reliability.
Act as a technical leader in architecture discussions, platform standards, and operational readiness.

Qualifications
8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles.

Required Skills
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