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Senior Python Application Developer - Vice President at Citibank, N.A. Kenya · Katori

Asks for

The ad says“Agentic AI: Experience with Agentic AI tools, including writing Agents and Skills, and contributing to Agentic frameworks.”
The ad says“Agile/Scrum: Deep understanding and practical experience working within Agile/Scrum methodologies.”
The ad says“Cloud Platforms: Strong background in cloud platforms AWS or IBM symphony grid.”
The ad says“CI/CD Pipelines: Proven exposure to and experience with Continuous Integration and Continuous Delivery (CI/CD) systems (Jenkins, GitLab CI, GitHub Actions, Bitbucket Pipelines) for automated deployment.”
The ad says“Database Systems: Extensive experience with relational databases (PostgreSQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, Redis), including advanced SQL query writing and optimization.”
The ad says“Development Workflows: Practical experience utilizing AI tools (GitHub Copilot, Devin, Claude, Gemini, GPT) to optimize development workflows.”
The ad says“Experience: 12+ years of hands-on application development experience, with a primary focus on Python, Data Structures and Algorithms.”
The ad says“Development Workflows: Practical experience utilizing AI tools (GitHub Copilot, Devin, Claude, Gemini, GPT) to optimize development workflows.”
The ad says“Frameworks: Advanced knowledge of Python web and API frameworks (FastAPI, Django, Flask).”
The ad says“Containerization & Orchestration: Hands-on experience with Docker containerization and contributing to Kubernetes orchestration.”
The ad says“Distributed Systems: Strong understanding of software architecture principles and distributed system design (Microservices, Event-Driven Architecture, caching strategies).”
The ad says“Frameworks: Advanced knowledge of Python web and API frameworks (FastAPI, Django, Flask).”
The ad says“Frameworks: Advanced knowledge of Python web and API frameworks (FastAPI, Django, Flask).”
The ad says“Development Workflows: Practical experience utilizing AI tools (GitHub Copilot, Devin, Claude, Gemini, GPT) to optimize development workflows.”
The ad says“Version Control: Expertise in Git (Bitbucket, GitHub) for advanced branching, merging, and pull request workflows.”
The ad says“CI/CD Pipelines: Proven exposure to and experience with Continuous Integration and Continuous Delivery (CI/CD) systems (Jenkins, GitLab CI, GitHub Actions, Bitbucket Pipelines) for automated deployment.”
The ad says“Development Workflows: Practical experience utilizing AI tools (GitHub Copilot, Devin, Claude, Gemini, GPT) to optimize development workflows.”
The ad says“CI/CD Pipelines: Proven exposure to and experience with Continuous Integration and Continuous Delivery (CI/CD) systems (Jenkins, GitLab CI, GitHub Actions, Bitbucket Pipelines) for automated deployment.”
The ad says“Development Workflows: Practical experience utilizing AI tools (GitHub Copilot, Devin, Claude, Gemini, GPT) to optimize development workflows.”
The ad says“Cloud Platforms: Strong background in cloud platforms AWS or IBM symphony grid.”
The ad says“CI/CD Pipelines: Proven exposure to and experience with Continuous Integration and Continuous Delivery (CI/CD) systems (Jenkins, GitLab CI, GitHub Actions, Bitbucket Pipelines) for automated deployment.”
The ad says“Containerization & Orchestration: Hands-on experience with Docker containerization and contributing to Kubernetes orchestration.”
The ad says“Risk Methodologies: Sound understanding of and exposure to various Risk Methodologies (e.g., Market Risk, Stress Testing, Value at Risk (VaR), Sensitivities).”
The ad says“Distributed Systems: Strong understanding of software architecture principles and distributed system design (Microservices, Event-Driven Architecture, caching strategies).”
The ad says“Database Systems: Extensive experience with relational databases (PostgreSQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, Redis), including advanced SQL query writing and optimization.”
The ad says“Quantitative Computation: Multiple years of experience developing quantitative/calc-intensive Python solutions with advanced computation libraries (e.g., NumPy, Pandas, SciPy).”
The ad says“Database Systems: Extensive experience with relational databases (PostgreSQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, Redis), including advanced SQL query writing and optimization.”
The ad says“Security: Solid understanding of secure coding practices and application of security principles (OWASP Top 10).”
The ad says“Quantitative Computation: Multiple years of experience developing quantitative/calc-intensive Python solutions with advanced computation libraries (e.g., NumPy, Pandas, SciPy).”
The ad says“Database Systems: Extensive experience with relational databases (PostgreSQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, Redis), including advanced SQL query writing and optimization.”
The ad says“Testing & TDD: Proficiency in automated testing frameworks (Pytest, unittest) and Test-Driven Development (TDD) methodologies.”
The ad says“Python Expertise: Expert-level Python 3.x proficiency, with deep knowledge of core concepts, advanced computation libraries, and design patterns (OOP, SOLID).”
The ad says“Database Systems: Extensive experience with relational databases (PostgreSQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, Redis), including advanced SQL query writing and optimization.”
The ad says“Quantitative Computation: Multiple years of experience developing quantitative/calc-intensive Python solutions with advanced computation libraries (e.g., NumPy, Pandas, SciPy).”
The ad says“Operating Systems: Highly experienced with Unix/Linux-based operating systems, shell scripting, and system-level development.”
The ad says“Database Systems: Extensive experience with relational databases (PostgreSQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, Redis), including advanced SQL query writing and optimization.”
The ad says“Risk Methodologies: Sound understanding of and exposure to various Risk Methodologies (e.g., Market Risk, Stress Testing, Value at Risk (VaR), Sensitivities).”
The ad says“Testing & TDD: Proficiency in automated testing frameworks (Pytest, unittest) and Test-Driven Development (TDD) methodologies.”
The ad says“Testing & TDD: Proficiency in automated testing frameworks (Pytest, unittest) and Test-Driven Development (TDD) methodologies.”
The ad says“Operating Systems: Highly experienced with Unix/Linux-based operating systems, shell scripting, and system-level development.”
The ad says“Risk Methodologies: Sound understanding of and exposure to various Risk Methodologies (e.g., Market Risk, Stress Testing, Value at Risk (VaR), Sensitivities).”

Role Overview

We are seeking a highly experienced, technically proficient, and execution-focused Senior Python Application Developer with 12+ years of hands-on experience to design, architect, and deliver critical, horizontally scalable, highly available, and performant applications. This role demands deep technical expertise in Python, distributed systems, and modern DevOps practices, combined with a strong background in quantitative computation and market risk domains.

The ideal candidate is a hands-on technical leader who can drive software engineering excellence, manage technical aspects of complex projects (including planning, governance, and budgeting), and collaborate effectively with globally matrixed teams, including Risk Managers, Risk Analytics, Senior Quants, and Front Office (FO) teams.

Key Responsibilities

1. Architecture, Design & Hands-on Development

Lead Implementation: Lead the hands-on implementation and architecture of robust Python frameworks to build horizontally scalable, highly available, highly resilient, and performant applications.
Platform Engineering: Design and develop efficient software platforms for high-throughput data computation, processing, and quantitative calculations.
Standards & Alignment: Develop solutions adhering to enterprise architectural standards, utilizing in-depth technical and business domain knowledge.
Database & API Design: Design, develop, and secure high-performance RESTful APIs, integration patterns, and database schemas (relational and NoSQL).

2. Technical Leadership, Governance & Delivery

SDLC & Code Quality: Enforce industry-standard SDLC best practices and contribute to code quality through rigorous code reviews, automated testing, and continuous integration.
Project Ownership: Take full ownership of technical initiatives, including planning, forecasting, project tracking, governance, and managing technology budgets at the team level.
Change Management: Drive continuous improvement, change management, and modern software engineering practices within the development team.
Independent Execution: Work independently, multi-task, and manage priorities effectively under pressure to meet tight deadlines or unexpected changes in requirements.

3. Collaboration & Stakeholder Management

Cross-Functional Partnership: Act as a key liaison and partner with Risk Managers, Risk Analytics, Senior Quants, Front Office (FO), DevOps, and Production Support teams to ensure seamless IT deliveries.
Global Collaboration: Work effectively in a globally matrixed environment, partnering with virtual teams and external partners across different time zones.
Executive Communication: Consistently demonstrate clear, concise, and impactful written and verbal communication, ranging from technical discussions within the team to presentations for senior business executives.

Required Technical Qualifications

I. Core Python, DSA & System Development

Experience: 12+ years of hands-on application development experience, with a primary focus on Python, Data Structures and Algorithms.
Python Expertise: Expert-level Python 3.x proficiency, with deep knowledge of core concepts, advanced computation libraries, and design patterns (OOP, SOLID).
Frameworks: Advanced knowledge of Python web and API frameworks (FastAPI, Django, Flask).
Distributed Systems: Strong understanding of software architecture principles and distributed system design (Microservices, Event-Driven Architecture, caching strategies).
Database Systems: Extensive experience with relational databases (PostgreSQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, Redis), including advanced SQL query writing and optimization.
Operating Systems: Highly experienced with Unix/Linux-based operating systems, shell scripting, and system-level development.

II. Cloud, DevOps & Testing

Cloud Platforms: Strong background in cloud platforms AWS or IBM symphony grid.
Containerization & Orchestration: Hands-on experience with Docker containerization and contributing to Kubernetes orchestration.
CI/CD Pipelines: Proven exposure to and experience with Continuous Integration and Continuous Delivery (CI/CD) systems (Jenkins, GitLab CI, GitHub Actions, Bitbucket Pipelines) for automated deployment.
Testing & TDD: Proficiency in automated testing frameworks (Pytest, unittest) and Test-Driven Development (TDD) methodologies.
Security: Solid understanding of secure coding practices and application of security principles (OWASP Top 10).
Version Control: Expertise in Git (Bitbucket, GitHub) for advanced branching, merging, and pull request workflows.

III. Quantitative & Risk Domain

Quantitative Computation: Multiple years of experience developing quantitative/calc-intensive Python solutions with advanced computation libraries (e.g., NumPy, Pandas, SciPy).
Risk Methodologies: Sound understanding of and exposure to various Risk Methodologies (e.g., Market Risk, Stress Testing, Value at Risk (VaR), Sensitivities).
Domain Delivery: Proven track record of delivering Stress Testing and Regulatory Risk projects in the Market Risk domain.
Mathematical Modeling: Exposure to mathematical modeling and financial insights.

IV. Artificial Intelligence (AI) Integration (Exposure)

AI/ML Frameworks: Exposure to AI/ML tools and frameworks.
Development Workflows: Practical experience utilizing AI tools (GitHub Copilot, Devin, Claude, Gemini, GPT) to optimize development workflows.
Agentic AI: Experience with Agentic AI tools, including writing Agents and Skills, and contributing to Agentic frameworks.
Generative AI: Understanding and practical application of Generative AI concepts in software development.

Professional & Leadership Skills

Agile/Scrum: Deep understanding and practical experience working within Agile/Scrum methodologies.
Analytical Thinking: Strong analytical, logical, systems thinking, and critical analysis skills.
Design Thinking: Demonstrated design thinking skills to solve complex business and technical problems.
Ownership & Adaptability: Ability to take complete ownership of various parts of a project, adapt to changing priorities, and perform under pressure.

Preferred / "Good to Have" Qualifications

Banking Domain: Prior experience working within the banking/financial services domain, specifically in pricing, valuation, or risk management systems.
Certifications: Relevant Cloud (AWS, Azure, GCP) or Industry Certifications.
Financial Certifications: CFA (Chartered Financial Analyst) or FRM (Financial Risk Manager) certification is a strong plus.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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