**Introduction** At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let's talk. **Your role and responsibilities** This role requires an individual who can leverage their deep technical expertise to drive significant improvements in software quality, performance, and scalability on the AWS platform. The successful candidate will be a strategic thinker, capable of balancing immediate project needs with long-term system design considerations. **Required technical and professional expertise** Proficient in Python programming, with a strong background in software development. Extensive experience with Amazon Web Services (AWS), particularly in cloud architecture and deployment. Proven ability to manage and optimize databases on AWS for high performance and scalability. Expertise in code refactoring and technical debt management, ensuring repository cleanliness and maintainability. Demonstrable track record of implementing performance improvements in complex software systems. Familiarity with parallel computing concepts to efficiently scale Machine Learning (ML) model executions. **Preferred technical and professional experience** Preferred: Proficient knowledge of AWS OpenSearch for effective data indexing and analysis. Lead and execute tasks related to cleaning up repositories, removing unnecessary code, and managing technical debt. Implement improvements to enhance the performance of existing systems running on AWS. Optimize the parallelization of ML models during runtime for efficient resource utilization and faster execution. Design, deploy, and manage scalable solutions on AWS, leveraging services like EC2, S3, and Lambda where appropriate. (Optional) Collaborate with data science teams to integrate OpenSearch for advanced data querying and analysis. Ensure all solutions adhere to best practices, security standards, and compliance requirements 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.