**Introduction** As a Cloud Data Engineer, you will play a key role in transforming and optimizing our software systems on AWS. You will work closely with software engineering, DevOps, and data science teams to ensure scalable, maintainable, and high-performing infrastructure is in place to support advanced analytics and machine learning. **Your role and responsibilities** We are seeking a highly skilled Cloud Data Engineer with strong expertise in Python programming and AWS cloud architecture. The successful candidate will lead performance optimizations, technical debt cleanup, and scalable system design across distributed cloud environments. Key responsibilities include: * Refactoring and maintaining clean, efficient codebases by addressing technical debt and eliminating redundant code. * Designing, deploying, and managing scalable and high-performance solutions on AWS, using services like EC2, S3, Lambda, and optionally OpenSearch. * Optimizing machine learning model execution through parallel computing strategies and runtime improvements. * Troubleshooting and resolving complex issues in distributed and cloud-based environments. * Collaborating with cross-functional teams to integrate CI/CD practices and support agile development workflows. * Ensuring all systems meet security, compliance, and performance best practices. **Required technical and professional expertise** * Proficiency in Python and software engineering best practices * Extensive hands-on experience with AWS, including EC2, S3, Lambda, and IAM * Proven expertise in cloud-based architecture and deployment strategies * Experience with codebase refactoring, technical debt management, and system performance optimization * Understanding of parallel computing concepts for ML scalin and strong problem-solving skills, particularly in distributed systems * Experience with CI/CD tools and pipelines in agile environments **Preferred technical and professional experience** * Experience with AWS OpenSearch for indexing, querying, and analyzing large datasets * Familiarity with containerization technologies (Docker, Kubernetes) * Exposure to machine learning model deployment workflows * Understanding of cloud security and compliance principles * Bachelor’s or advanced degree in Computer Science, Engineering, or related field IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.