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.
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.
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.
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.
• 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 degree or equivalent experience
Master’s degree preferred
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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View Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- 10+ years hands-on experience in Application Development primarily with Python
- Expert-level Python 3.x proficiency for scalable, resilient, high-performance applications
- Advanced knowledge of Python frameworks: FastAPI, Django, Flask and OOP design patterns
- Strong understanding of software architecture and distributed system design (Microservices, Event-Driven Architecture)
- Extensive experience with relational (PostgreSQL, Oracle, SQL Server) and NoSQL (MongoDB, Cassandra, Redis) databases and advanced SQL
- Proven expertise designing, developing, and securing RESTful APIs and integration patterns
- Hands-on experience with CI/CD systems (Jenkins, GitLab CI, GitHub Actions, Bitbucket Pipelines)
- Strong background in cloud platforms (AWS, Azure, GCP), containerization (Docker) and Kubernetes orchestration
- Experience with automated testing frameworks (Pytest, unittest) and TDD methodologies
- Knowledge of secure coding practices and application security principles (OWASP Top 10)
- Experience developing quantitative/calc-intensive Python solutions and familiarity with risk methodologies
- Familiarity with AI/ML tools and frameworks (PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face) and foundational models (Gemini, OpenAI, Claude, Llama, local models)
- Experience with Vector DBs, PostgreSQL-based retrieval, RAG, orchestration tools (LangGraph) and multi-agent systems
- Advanced troubleshooting, debugging, and performance optimization experience for distributed systems on Unix-based OS
- Expertise in Git workflows (Bitbucket, GitHub) with advanced branching and pull request practices
- Experience working in Agile/Scrum environments and strong communication, ownership, and stakeholder collaboration skills
- Bachelor's degree or equivalent experience
- Master's degree
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
What We Do
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