- Provide expert-level development skills to build Amazon-specific tools using the SP API. - Design, implement, and maintain software solutions that streamline workflows, integrate data, and optimize operations for Amazon sellers. - Leverage deep knowledge of Amazon data structures and APIs to deliver efficient, scalable, and reliable solutions. - Collaborate with finance, operations, and analytics teams to streamline accounting workflows.

• Refactor and convert Oracle SQL, PL/SQL, and database objects to PostgreSQL-compatible SQL/PLpgSQL. • Analyze and remediate AWS SCT (Schema Conversion Tool) findings and limitations. • Manage and maintain Flyway migration codebase (versioned scripts, repeatable migrations, rollbacks). • Identify, troubleshoot, and fix database-related application bugs. • Perform query optimization for PostgreSQL (execution plans, indexing strategies, query rewrites). • Support and monitor AWS DMS during full load and CDC phases. • Diagnose and resolve DMS data and performance issues. • Perform data validation and reconciliation between Oracle and PostgreSQL. • Collaborate with application teams to align SQL behavior and performance expectations.

• Develop and deliver new product features according to the provided specifications and requirements • Actively participate in the system design and contribute new ideas and best ways of implementation • Support the product and fix bugs reported by users and QA team • Adhere to the best development practices • Self-motivated and can work as part of a team as well as independently • Mentor and lead junior team members

• Lead the end-to-end development lifecycle of our SaaS platform, from design and implementation to deployment and maintenance, ensuring alignment with business objectives and technical requirements. • Provide technical leadership and mentorship to a team of Full Stack Engineers, fostering their growth and development through coaching, feedback, and knowledge sharing. • Define and drive the technical strategy for AI integration, working closely with product and data teams to deliver AI-powered features that improve automation, decision-making, and user experience. • Explore and evaluate new AI models, frameworks, and APIs (e.g., OpenAI, Hugging Face, Google AI), and oversee the development of AI proof-of-concepts (POCs) to validate innovative ideas. • Collaborate closely with product managers, designers, and other stakeholders to translate business requirements into technical solutions, prioritizing features and enhancements based on impact and feasibility. • Drive architectural decisions and establish coding standards and best practices to ensure the scalability, reliability, and maintainability of the platform. • Conduct thorough code reviews, enforce quality standards, and promote a culture of continuous improvement through the adoption of testing methodologies and automation. • Proactively identify technical debt, scalability bottlenecks, and areas for optimization, leading initiatives to address them and improve overall system performance. • Champion security and compliance initiatives, ensuring adherence to industry regulations and best practices, and driving the implementation of robust security measures. • Stay updated with the latest trends, technologies, and best practices in software development, evaluating their potential impact and relevance to our platform, and advocating for their adoption where appropriate.