• Design, develop, and maintain complex, large-scale Python applications. • Write clean, efficient, reusable, and testable Python code following best practices. • Build and optimize backend services, APIs, and microservices. • Participate in system architecture design and technical decision-making. • Develop and integrate AI/ML-based features into applications (e.g., LLMs, NLP, data extraction, analytics). • Work with AI frameworks, models, and inference pipelines as part of production systems. • Optimize AI workflows for performance, accuracy, and scalability. • Design, implement, and optimize data models using PostgreSQL (or other relational databases) and MongoDB (and/or other NoSQL databases). • Handle large datasets efficiently with optimized queries and indexing strategies. • Ensure data integrity, performance tuning, and scalability. • Architect scalable, fault-tolerant, and secure systems. • Optimize system performance, memory usage, and latency. • Implement robust error handling, logging, and monitoring. • Collaborate with architects, product managers, data scientists, and DevOps teams. • Review code and mentor junior developers. • Contribute to technical documentation, design reviews, and best-practice standards. • Write and maintain unit tests, integration tests, and automated test suites. • Ensure high code quality and adherence to SDLC best practices. • Participate in CI/CD pipelines and deployment readiness.

• Build and maintain backend services and APIs using Python, FastAPI, and Temporal • Work with Postgres to design schemas, write efficient queries, and keep data performant • Write solid unit tests and participate in code reviews • Apply DevOps fundamentals — containerization, CI/CD pipelines, deployment • Take well-scoped features from implementation to production • Debug production issues methodically

• Lead the implementation of new features and enhancements on existing products, demonstrating ownership and expertise. • Design, develop, and maintain front-end applications using modern frameworks (e.g., Angular, React) and best practices. • Architect and build scalable, secure APIs to support new features and products. • Proactively identify and address technical challenges, refactor code to reduce technical debt, and promote best practices across the team. • Collaborate with cross-functional teams and third-party vendors to deliver projects on schedule and with high quality. • Drive test-driven development and implement robust testing strategies across the technology stack. • Provide technical guidance and mentorship to junior and mid-level engineers. • Actively participate in Agile ceremonies and contribute to continuous process improvements.

• Develop backend solutions in Java, focusing on modernizing the SAP commission system. • Design and implement RESTful APIs, ensuring robust integration between systems. • Define and apply architectural patterns and best practices in Spring. • Conduct technical code reviews, collaborating to maintain system quality. • Support integration of DevOps processes, including deployment automation and application monitoring. • Perform database optimizations and tuning to improve performance and availability.