About The Position

We are looking for a Python Developer (Applications Development Sr Programmer Analyst - C12) with hands-on experience developing Gen AI solutions. As a developer, you will leverage your deep technical knowledge to drive the creation of high-quality software products. You will also be expected to share your technical expertise and promote a culture of technical excellence within the team. The developer will work with a Team Lead and will be a code-contributing member of the team that will deliver solutions against the sprint-level commitments.

Requirements

  • 5+ years of progressive experience in Applications Development or Systems Analysis, with a substantial and demonstrated focus on Python technologies.
  • Proven experience in successfully 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.
  • Experience in managing and implementing successful projects
  • Working knowledge of consulting/project management techniques/methods
  • Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
  • Expert-level knowledge of Python and its robust ecosystem, with extensive hands-on experience in building scalable, resilient, and high-performance applications.
  • 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).
  • Solid understanding of secure coding practices and application security principles (e.g., OWASP Top 10, data encryption, access control mechanisms).
  • Experience 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.
  • 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.

Nice To Haves

  • Experience or familiarity with Java development, particularly within enterprise-level application contexts.
  • Knowledge of modern frontend frameworks (e.g., React, Angular, Vue.js) for full-stack development capabilities.
  • Understanding of financial services industry domain, regulatory requirements, and compliance standards.

Responsibilities

  • Demonstrating technical knowledge and expertise in software development, including programming languages, frameworks, and best practices.
  • Actively contributes to the implementation of features and technical solutions.
  • Write clean, efficient, and maintainable code that meets the highest standards of quality.
  • Collaborate with other Engineers to define and evolve the overall system architecture and design.
  • Provide guidance on scalable, robust, and efficient solutions that align with business requirements and industry best practices.
  • Code contributing member of an Agile team, working to deliver sprint goals.
  • Stay up to date with emerging technologies, tools, and industry trends. Evaluate their potential impact on the organization and provide recommendations for technology adoption and innovation.
  • 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.

Benefits

  • Full Time Salary Range: $94,300.00 - $141,500.00
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