Senior Python Application Developer - Vice President

We are seeking a highly experienced and technically proficient **Senior Python Application Developer** with **10+ years of hands-on experience** to design, develop, and deliver critical, scalable, highly available, and performant applications. This role demands deep technical expertise, a strong focus on execution, and a proven ability to deliver robust software solutions, particularly within quantitative and market risk domains. # **Key Technical Responsibilities:** - Lead hands-on implementation and architecture of Python frameworks for scalable, resilient, and performant applications. - Develop solutions adhering to architectural standards, utilizing in-depth technical and business domain knowledge. - Enforce industry-standard SDLC best practices and contribute to code quality through reviews. - Collaborate with cross-functional teams (Risk, Quants, FO, DevOps, Production Support) for seamless delivery. - Drive development for Stress Testing and Regulatory Risk projects in the Market Risk domain. - Manage project technical aspects, including planning, governance, and taking ownership of initiatives. - Deliver high-quality solutions independently within a globally matrixed environment and under tight deadlines. # # **Required Technical Qualifications:** ## I. Core Python & System Development: - **10+ years** of hands-on experience in Application Development, primarily with Python. - **Expert-level Python 3.x proficiency** for scalable, resilient, and high-performance applications. - Advanced knowledge of Python frameworks (FastAPI, Django, Flask), best practices, and design patterns (OOP). - Strong understanding of software architecture principles and distributed system design (Microservices, Event-Driven Architecture). - Extensive experience with relational (PostgreSQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, Redis), including advanced SQL. - Proven expertise in designing, developing, and securing RESTful APIs and integration patterns. - Hands-on experience with CI/CD systems (Jenkins, GitLab CI, GitHub Actions, Bitbucket Pipelines) for automated deployment. - Highly experienced with Unix-based operating systems. ## ## II. Cloud & DevOps: - Strong background in cloud platforms (AWS, Azure, GCP), including containerization (Docker) and contributing to Kubernetes orchestration. - Advanced troubleshooting, debugging, and performance optimization for distributed systems. - Proficiency in automated testing frameworks (Pytest, unittest) and TDD methodologies. - Solid understanding of secure coding practices and application security principles (OWASP Top 10). - Expertise in Git (Bitbucket, GitHub) for advanced branching and pull request workflows. ## ## III. Quantitative & Risk Domain: - Experience developing Quantitative/Calc-intensive Python solutions with advanced computation libraries. - Sound understanding and exposure to various Risk Methodologies. - Exposure to mathematical modeling/finance insights. ## ## IV. Artificial Intelligence (AI) • **Foundational Models:** *Gemini, OpenAI, Claude, Llama, Local Models* • **Machine Learning:** *PyTorch, TensorFlow, Fine-tuning* • **Frameworks:** *LangChain, LlamaIndex, Hugging Face* • **Retrieval Augmented Generation:** *PostgreSQL, Vector DBs, Advanced Retrieval* • **Orchestration:** *LangGraph, Multi-Agent Systems* • **Development:** *Python, FastAPI, Async Programming* • **Deployment:** *Docker, Production APIs, Monitoring* • **Applied Methodology:** *Prompt Engineering, Workflow Design, GenAI Optimization* # # **Professional Skills:** - Deep understanding and practical experience with Agile/Scrum methodologies. - Exceptional ability to manage priorities and tasks effectively. - Strong analytical, logical, systems thinking, and critical analysis skills. - Excellent written and verbal communication for diverse audiences. - Ability to work independently, take ownership, and collaborate effectively in global teams. **Education:** - Bachelor’s degree/University d…