Senior Python Developer

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.

Citi’s Mission and Value Proposition explain what we do and Strategy explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve.

The Senior Python Developer will assume a pivotal role in the conceptualization, development, and deployment of batch services data management pipeline. We are seeking a Senior Python Developer with strong experience in managing high volume of data processing in batch, bringing experience and expertise in parallel processing and optimal design. This role focuses on building, packaging, deploying, and scaling production-grade Python solutions. The ideal candidate has strong experience developing Python applications on OpenShift or similar containers. This individual will serve as both a hands-on contributor and a technical leader, tasked with guiding architectural choices, upholding stringent code quality standards, and cultivating an environment of technical distinction within the team.

Responsibilities

• Function as a hands-on Senior Python Developer building batch services data management pipeline handling large volume of data

• Function as a technical mentor for junior developers, offering guidance on leading practices, code integrity, design paradigms, problem-solving methodologies, and the effective utilization of AI-assisted development platforms.

• Migrate Ab-Initio ETL tool-based batch services to Python batch services.

• Spearhead the architecture, development, and deployment of resilient, scalable, and high-performance batch services in Python, actively incorporating advanced AI technologies to optimize code generation and boost efficiency.

• Employ Python for automation scripting, large volume data processing, utilizing AI-driven coding tools to accelerate development timelines.

• Orchestrate architectural dialogues and decisions for both nascent and established systems, ensuring alignment with the overarching company technical roadmap.

• Develop reusable libraries and modular frameworks for enterprise use

• Work with Spark / PySpark for large-scale data processing.

• Perform thorough code reviews to ensure compliance with coding guidelines, enhance performance, and maintain system stability.

• Collaborate closely with product management, QA, DevOps, and other engineering departments to delineate requirements, scope projects, and guarantee successful project delivery.

• Identify and implement avenues for system enhancements, performance tuning, and the reduction of technical debt.

• Advocate for software development best practices, including continuous integration/continuous delivery (CI/CD), automated testing strategies, and comprehensive observability.

• Diagnose and resolve complex technical challenges across diverse environments, ensuring prompt solutions.

• Keep abreast of emerging technologies and industry trends, assessing and recommending their adoption when advantageous, especially within the domain of AI-driven development.

Qualifications Required

• 6+ years of extensive professional experience in software development, with a primary emphasis on Python.

• Strong experience in large-scale data volume processing environments

• Demonstrated track record in a hands-on technical developer capacity and championing technical initiatives.

• Profound expertise with Python for scripting, automation, data manipulation, or backend system development.

• Proven ability to leverage AI-powered coding assistants, such as GitHub Copilot or similar platforms, to achieve efficient and high-quality Java and Python code creation.

• Solid understanding of distributed systems and cloud-native application development practices (e.g., Docker, OpenShift/Kubernetes).

• Proficiency with CI/CD pipelines and tools (e.g., Jenkins, Git