Enterprise Cloud Software Engineer (Cloud Development, Azure/AWS, Ai Engineering)

We are seeking a Enterprise Cloud Software Engineer skilled in automation engineering, artificial intelligence, and cloud operations. This role merges the Enterprise Cloud Software Developer and CloudOps Engineer positions into a single, development‑centric automation role. The focus is on building solutions, platforms, and automation frameworks that enable scalable, resilient, and intelligent cloud operations across AWS and Azure. The role emphasizes coding, Infrastructure‑as‑Code, CI/CD, and intelligent automation, while still maintaining strong operational awareness. The engineer will design, build, and evolve cloud automation solutions that replace manual IT operations with AI augmented, software‑driven, repeatable, and governed workflows, working closely with architecture, security, and operations teams. Key Responsibilities Cloud Software Development & Automation Design, develop, test, and maintain cloud automation solutions using Python, PowerShell, Bash, and JavaScript to automate traditional IT and CloudOps tasks. Build reusable automation frameworks, libraries, and services using cloud SDKs, APIs, and serverless technologies (AWS Lambda, Azure Functions). Engineer high‑quality, production‑ready code following established SOLID principles, design patterns, and cloud resiliency patterns. Implement automated self‑certification, testing, and validation to ensure reliability, security, and performance before release. Infrastructure as Code & CI/CD Lead and contribute to Infrastructure‑as‑Code (IaC) using Terraform, CloudFormation, ARM/Bicep, and Ansible, aligned with enterprise standards. Develop and maintain CI/CD pipelines for infrastructure and automation using Azure DevOps, GitHub Actions, Jenkins, or GitLab CI. Apply version control best practices, including pull requests, code reviews, and automated quality gates. Manage IaC state, modularization, and lifecycle across multi‑cloud and hybrid environments. Cloud Platforms & Operations Enablement Design and automate solutions across AWS and Microsoft Azure, supporting IaaS, PaaS, containerized, and serverless workloads. Enable operational capabilities such as provisioning, scaling, patching, backup, disaster recovery, and decommissioning through code. Build automation that enforces cloud governance, including tagging standards, security baselines, cost optimization, and policy‑as‑code guardrails. Collaborate with Cloud Operations teams to ensure solutions are observable, supportable, and production‑ready. Containers, Platforms & Modern Tooling Develop and support automation for container platforms such as Docker, Kubernetes, AKS, and EKS. Support enterprise cloud operating models, including shared services and multi‑tenant platforms. Intelligent & AI‑Enabled Automation Integrate AI‑driven automation into CloudOps workflows for alert enrichment, operational insights, and basic remediation. Develop Python‑based automation that leverages API‑driven AI services and intelligent runbooks.