Job Requirements* Design and scale enterprise cloud automation with AI-driven workflows, Terraform, and DevOps practices across AWS and Azure.

Key Responsibilities* Core Technical Capabilities

- Strong experience designing and scaling (cloud) automation solutions in enterprise environments
- Proven ability to enhance automation workflows with AI driven logic, including validation, orchestration, and decision support
- Hands on expertise with Infrastructure as Code (IaC), particularly using Terraform
- Deep working knowledge of AWS and Azure, including cloud governance, networking, and security fundamentals
- Experience supporting and managing AWS and Azure Landing Zones

AI & Automation Expertise

- Experience integrating AI agents or AI assisted workflows into operational and platform processes
- Ability to assess AI use cases for feasibility, risk, and architectural alignment
- Robust understanding of enterprise AI guardrails, including security, compliance, and responsible usage
- Capability to define and communicate best practices for AI solution submissions and reviews

DevOps & Platform Engineering

- Experience managing and evolving enterprise DevOps platforms (e.g., CI/CD pipelines, repositories, automation services)
- Strong understanding of self service platform models with appropriate governance and auditability




- Familiarity with automation and orchestration tools used in IT operations and scheduling platforms
- Ability to integrate monitoring, validation, and remediation into automated workflows

Architectural & Engineering Skills

- Strong system level thinking with the ability to design reusable, modular, and standardized solutions
- Experience defining patterns, standards, and reference architectures rather than one off implementations
- Comfortable balancing innovation speed with enterprise requirements for stability and compliance
- Ability to translate high level strategy into actionable technical direction

Collaboration & Ways of Working

- Experience working closely with cloud engineering, security, architecture, and application teams
- Ability to act as a technical advisor and enabler rather than a ticket based operator
- Strong stakeholder communication skills, including explaining complex topics to non specialists
- Comfortable operating in a global, cross functional enterprise environment

Preferred Experience

- Exposure to AI agents that interpret configurations or job definitions and take contextual actions
- Experience building automation frameworks intended for broad reuse and adoption
- Background in platform, cloud foundation, or shared services teams
- Familiarity with governance heavy or regulated enterprise environments

📌 Cloud Engineer (Bengaluru)
🏢 Clifyx
📍 Bengaluru