CloudPlatform&AIEngineer

## Accountabilities Design, implement, and enhance cloud infrastructure automation frameworks to support scalable and reliable deployments across public cloud environments. Develop, maintain, and optimize AI-powered services and cloud-native solutions, ensuring secure and efficient operation across enterprise platforms. Automate governance, security, compliance, and auditing processes to support safe and standardized cloud adoption. Build and maintain monitoring, alerting, and observability solutions that proactively identify and resolve infrastructure and application issues. Drive continuous improvements in cloud performance, reliability, scalability, and cost optimization through engineering best practices. Develop automation tools that reduce manual effort, streamline operational processes, and improve overall platform efficiency. Participate in code reviews, technical assessments, and architectural discussions to ensure high-quality implementations. Support cloud operations through incident response, troubleshooting, and participation in on-call rotations when required. Collaborate with cross-functional teams to deliver secure, resilient, and business-aligned cloud solutions. Requirements Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience. 4+ years of professional experience, including at least 2 years supporting multi-account AWS cloud environments. Strong hands-on experience with AWS services, including AI and machine learning platforms such as Bedrock and SageMaker. Solid understanding of AI/ML concepts and practical experience deploying or managing AI-enabled cloud services. Proficiency in one or more programming languages such as Python, JavaScript/TypeScript, Java, Ruby, or Go, with strong knowledge of object-oriented design principles. Experience with Infrastructure as Code (IaC), automation frameworks, and CI/CD pipelines. Strong knowledge of cloud security best practices, go