Senior Python Engineer

Job Description
We are seeking a highly experienced and technically proficient Senior Python Developer with 6+ 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:
6+ 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) Integration (Exposure):
Exposure to AI/ML tools and frameworks (TensorFlow, PyTorch, scikit-learn).
Practical experience with AI tools (Copilot, Devin, Claude/Gemini/GPT) for development workflows.
Experience with Agentic AI tools, including writing Agents and Skills, and contributing to Agentic frameworks.
Understanding and practical application of Generative AI concepts in software development.
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.
Desirable Qualifications:
Polyglot Programming Exposure (e.g., Java).
Big Data Technologies (Apache Spark, Hadoop, Kafka) and data warehousing.
Frontend Development (React, Angular, Vue.js).
Relevant Cloud or Industry Certifications.
Experience with banking domain (pricing, risk), CFA/FRM certification.
Key Focus Areas / Desirable Skills
• Foundational Models: Gemini, OpenAI, Claude, Llama, Local Models
• Machine Learning: PyTorch, TensorFlow, Fine-tuning
• Frameworks: LangChain, LlamaIndex, Hugging Face
• Retrieval Augmented Generation: PostgreS