Senior Enterprise Cloud Software Engineer

As a Senior Enterprise Cloud Software Engineer in our company, your role will involve designing and building intelligent, automation-first cloud platforms at an enterprise scale. You will be responsible for transforming cloud operations from reactive support to proactive, software-defined platforms. Your mission will be to fuse software engineering rigor with operational ownership, leveraging automation, Infrastructure-as-Code, and AI to eliminate manual work at scale. **Key Responsibilities:** - Design and build enterprise-grade cloud services, APIs, and automation platforms using a Python-first stack (FastAPI/Django/Flask). - Develop cloud-native tooling and services using Azure and AWS SDKs to standardize provisioning, lifecycle management, and operational workflows. - Own the full lifecycle of cloud platforms: design, build, operate, optimize, and decommission. - Engineer automation-first infrastructure operations, eliminating manual provisioning, patching, scaling, and recovery. - Apply AI-assisted CloudOps practices including anomaly detection, predictive insights, event correlation, and automated remediation. - Design and maintain CI/CD pipelines for infrastructure and platform automation using Azure DevOps, GitHub Actions, or GitLab. - Serve as a technical leader and mentor, collaborating closely with Architecture, Security, Compliance, and Product teams. **Qualifications Required:** - Bachelors degree in Computer Science or a related field. - More than 5 years of Cloud Operations, DevOps, or Infrastructure Engineering experience. - Hands-on experience in AI-based automation is highly desirable. - Advanced certification in AWS and Azure will be preferred. - Deep hands-on experience in AWS and Azure at enterprise scale. - Strong proficiency in Python and scripting for automation and platform development. - Advanced Terraform expertise with modular, reusable, enterprise-grade designs. - Experience with containers and orchestration (Docker, Kubernetes, AKS, EKS). - Strong understanding of networking, identity, security, and cloud governance. - Experience with CI/CD, release management, and platform operationalization. - Practical experience applying AI to operational workflows. In addition to the technical skills and competencies required for this role, you will be expected to embody an engineering mindset with strong architectural thinking and systems design skills. Your passion for eliminating toil through code, ability to operate independently while influencing across teams, and excellent communication and documentation skills will be crucial for success in this position. As a Senior Enterprise Cloud Software Engineer in our company, your role will involve designing and building intelligent, automation-first cloud platforms at an enterprise scale. You will be responsible for transforming cloud operations from reactive support to proactive, software-defined platforms. Your mission will be to fuse software engineering rigor with operational ownership, leveraging automation, Infrastructure-as-Code, and AI to eliminate manual work at scale. **Key Responsibilities:** - Design and build enterprise-grade cloud services, APIs, and automation platforms using a Python-first stack (FastAPI/Django/Flask). - Develop cloud-native tooling and services using Azure and AWS SDKs to standardize provisioning, lifecycle management, and operational workflows. - Own the full lifecycle of cloud platforms: design, build, operate, optimize, and decommission. - Engineer automation-first infrastructure operations, eliminating manual provisioning, patching, scaling, and recovery. - Apply AI-assisted CloudOps practices including anomaly detection, predictive insights, event correlation, and automated remediation. - Design and maintain CI/CD pipelines for infrastructure and platform automation using Azure DevOps, GitHub Actions, or GitLab. - Serve as a technical leader and mentor, collaborating closely with Architecture, Security, Compliance, and Product teams. **Qualifications Required:** - Bachelors degree in Computer Science or a related field. - More than 5 years of Cloud Operations, DevOps, or Infrastructure Engineering experience. - Hands-on experience in AI-based automation is highly desirable. - Advanced certification in AWS and Azure will be preferred. - Deep hands-on experience in AWS and Azure at enterprise scale. - Strong proficiency in Python and scripting for automation and platform development. - Advanced Terraform expertise with modular, reusable, enterprise-grade designs. - Experience with containers and orchestration (Docker, Kubernetes, AKS, EKS). - Strong understanding of networking, identity, security, and cloud governance. - Experience with CI/CD, release management, and platform operationalization. - Practical experience applying AI to operational workflows. In addition to the technical skills and competencies required for this role, you will be expected to embody an engineering mindset with strong ar