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Citi

Python Developer – Assistant Vice President

Citi

Python Developer leading the development and delivery of applications within the Python ecosystem at Citigroup. Focusing on applications systems analysis and programming activities.

Posted 7/8/2026full-timeChennai • 🇮🇳 IndiaLeadWebsite

Tech Stack

Tools & technologies
AWSAzureCassandraCloudDjangoDockerFlaskGoogle Cloud PlatformJenkinsKubernetesMicroservicesMongoDBNoSQLOraclePostgresPythonPyTorchRedisScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact
  • 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
  • Act 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

Requirements

What you’ll need
  • 7+ years of progressive experience in Applications Development or Systems Analysis
  • Proven experience in successfully leading, architecting, and delivering complex software development projects from inception to production deployment
  • 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
  • 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
  • Exposure with AI/Machine Learning tools, frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and platforms
  • Understanding of financial services industry domain, regulatory requirements, and compliance standards

Benefits

Comp & perks
  • Remote opportunities
  • Professional development

ATS Keywords

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Hard Skills & Tools
PythonDjangoFlaskFastAPIMicroservicesEvent-Driven ArchitectureRESTful APIsAutomated TestingTest-Driven DevelopmentApplication Security
Soft Skills
MentoringConsultationProblem-SolvingRisk AssessmentUser Support