Python Developer Assistant Vice President

The Python Developer Assistant Vice President is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.

Responsibilities:

• Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
• Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
• Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
• Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
• Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
• Ensure essential procedures are followed and help define operating standards and processes
• Serve as advisor or coach to new or lower level analysts
• Has the ability to operate with a limited level of direct supervision.
• Can exercise independence of judgement and autonomy.
• Acts as SME to senior stakeholders and /or other team members.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

This role requires a highly experienced and technically proficient individual to lead the development and delivery of critical applications within the Python ecosystem. The ideal candidate will combine deep technical expertise with strong leadership and project management capabilities to drive innovation and ensure the successful execution of strategic initiatives.

• Experience & Technical Leadership:

  • 7+ years of progressive experience in Applications Development or Systems Analysis, with a substantial and demonstrated focus on Python technologies.

  • Proven experience in successfully leading, architecting, and delivering complex software development projects from inception to production deployment.
  • Demonstrated expertise in technical leadership, including providing guidance, mentorship, and conducting comprehensive code reviews for development teams.
  • Subject Matter Expert (SME) in Python application development, encompassing advanced knowledge of frameworks (e.g., Django, Flask, FastAPI), best practices, and design patterns.
  • Strong proficiency in software architecture principles, distributed system design patterns (e.g., Microservices, Event-Driven Architecture), and object-oriented programming.

• Core Technical Proficiency:

  • Expert-level knowledge of Python and its robust ecosystem, with extensive hands-on experience in building scalable, resilient, and high-performance applications.
  • Extensive experience with various database technologies, including relational databases (e.g., PostgreSQL, Oracle, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra, Redis).
  • Proven expertise in designing, developing, and consuming secure RESTful APIs and other inter-application integration patterns.
  • Hands-on experience with CI/CD systems (e.g., Jenkins, GitLab CI, GitHub Actions) and establishing robust automated deployment pipelines.
  • Strong background in cloud platforms (e.g., AWS, Azure, GCP), including significant experience with containerization (Docker) and container orchestration (Kubernetes).
  • Advanced troubleshooting, debugging, and performance optimization skills for complex, distributed applications and systems.
  • Proficiency in automated testing frameworks (e.g., Pytest, unittest) and a strong advocate for Test-Driven Development (TDD) methodologies.
  • Solid understanding of secure coding practices and application security principles (e.g., OWASP Top 10, data encryption, access control mechanisms).

  • Expertise in modern version control systems, particularly Git, including advanced branching strategies and pull request workflows.

  • Artificial Intelligence (AI) Proficiency:
    • Exposure with AI/Machine Learning tools, frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and platforms.
    • Practical experience using any of AI tools such as Copilot, Devin, Windsurf, Antigravity, and AI models like Claude/Gemini/GPT.
    • Experience with Agentic AI tools and their application in development workflows, exposure in writing Agents, Skills and creating Agentic frameworks
    • Understanding and practical application of Generative AI concepts and tool usage.

Methodology & Professional Skills:

• Deep understanding and practical experience with Agile/Scrum methodologies and fostering collaborative development environments.
• Exceptional ability to adjust priorities dynamically and manage multiple tasks effectively as circumstances dictate.
• Demonstrated leadership and project management skills, including stakeholder communication and resource allocation.
• Consistently demonstrates clear, concise, and effective written and verbal communication skills for technical and non-technical audiences.

• Polyglot Programming Exposure:
  • Experience or familiarity with Java development, particularly within enterprise-level application contexts.
• Big Data & Analytics Exposure:
  • Exposure to Big Data technologies (e.g., Apache Spark, Hadoop, Kafka) and experience in building data processing pipelines.
  • Familiarity with data warehousing concepts and relevant tools.

• Frontend Development:
  • Knowledge of modern frontend frameworks (e.g., React, Angular, Vue.js) for full-stack development capabilities.
• Cloud & Industry Certifications:
  • Relevant cloud certifications (e.g., AWS Certified Developer, Azure Developer Associate, Google Cloud Professional Developer).
  • Industry certifications in project management (e.g., PMP) or Agile methodologies (e.g., CSM, CSPO).
• Domain Knowledge:
  • Understanding of financial services industry domain, regulatory requirements, and compliance standards.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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