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Required Qualifications:
Experience & Technical Leadership:
8+ 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.
Desirable Qualifications:
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.
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.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
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