Job Description

Project Description: - 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. Mandatory Skills Description: - 8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles. - Deep, hands-on AWS expertise, including services such as: - EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda Robust production experience with Terraform, including: - Designing modular Terraform architectures - Managing state, environments, and multi-account setups - Proven experience rolling out Enterprise-grade Agentic AI infrastructure on top of existing platforms, including: - Supporting agent execution within established networking, security, and compliance boundaries - Enabling scalability, observability, and governance for agent behavior Hands-on experience supporting agentic SDLC tools and processes, such as: - AI-assisted coding, testing, and deployment workflows - Agent-based automation within CI/CD and operational processes - Solid understanding of Linux, networking, and cloud security fundamentals. - Experience with containerized and Kubernetes-based platforms (Docker, EKS). - Familiarity with MLOps or AI platform components (model serving, vector databases, feature stores). Nice-to-Have Skills Description: - Experience designing internal developer platforms (IDPs). - Knowledge of policy-as-code and governance frameworks (OPA, SCPs, tagging strategies). - AWS certifications (Solutions Architect, DevOps Engineer). - Experience operating platforms at enterprise scale or in regulated environments.

📌 Senior DevOps +Agentic AI systems Engineer [AWS / IAM / AI] (Noida)
🏢 Luxoft India
📍 Noida