Top Python Jobs

Design and develop scalable backend services and data ingestion solutions while optimizing applications for maximum speed and scalability in an Agile environment. Collaborate across disciplines and drive innovation in building robust APIs and data pipelines.

Lead backend engineering efforts by coordinating engineers, defining technical tasks, making architectural decisions, improving processes, and representing the company externally. Focus on backend Python development and collaborate with management to set engineering standards and achieve customer and operational objectives.

The Data Engineer will design, develop, and maintain data infrastructure, focusing on ETL processes, data architecture, and CI/CD pipelines, utilizing Python and PySpark.

Deliver complete solutions across all phases of the SDLC while advising management and guiding junior engineers, applying technical best practices with minimal supervision.

The Senior Python Engineer will design scalable software solutions, lead architectural discussions, collaborate with teams, and improve applications' performance.

The SAS to Python/R Migration Developer converts SAS code into Python/R, ensuring code accuracy and performing validations. The role involves data transformation, debugging, developing tests, and optimizing workflows while collaborating with stakeholders.

The Senior Python Full Stack Developer will architect, develop, and deploy cloud-native applications and services while leading engineering teams and improving CI/CD processes.

As a Python Engineer, you will design CI/CD tools, optimize trading systems, collaborate with teams, and manage databases in a cloud environment.

As a Python Software Engineer, you'll lead technical projects, develop cloud solutions, enhance operational efficiency through automation, and collaborate cross-functionally.

As a Python Software Engineer at Citi, you will focus on developing cloud-based services, enhancing observability systems, and collaborating with cross-functional teams to meet cloud strategy goals.

Design and develop accelerated and distributed implementations of Python APIs for numerical computing, optimizing performance on various architectures and contributing to technical roadmaps.

Design and develop scalable backend services and data ingestion solutions, collaborating in an Agile environment to optimize speed and scalability.

The Senior Software Engineer will deliver software solutions throughout all phases of the SDLC, advise management, guide junior engineers, and make technical decisions with minimal supervision.

Lead projects and coordinate engineering teams, focusing on scalable backend systems, improving processes, and ensuring alignment with business goals.

The role involves developing complex reporting solutions, automating report needs, and transforming data infrastructure in collaboration with various stakeholders.

The Senior Developer will lead development in Credit Risk Technology, manage CI/CD pipelines, implement cloud infrastructure, ensure security, and mentor junior engineers.

Design, develop and test applications, ensure compliance with security and SDLC processes, work with various teams, and support cultural change.

Develop, test, deploy, and sustain Python-based REST endpoints and microservices using Django/Flask, interfacing with MariaDB or MongoDB, providing middleware and backend support for mission-critical government systems focused on automation and continuous monitoring.

Lead the development of data science dashboards to mitigate fire hazards, collaborating with various teams to enhance the web application and optimize backend services.

Develop websites and web applications using Django and Python, integrate APIs, and maintain code quality within team projects.

Design and build backend systems and APIs for AI-driven products, ensuring scalability, reliability, and integration of ML models while collaborating with engineering and product teams.

The Software Engineer will design and build scalable web applications using Python and Django, collaborating on architecture, optimization, and mentoring junior engineers.

The role involves leading the development of enterprise applications using Angular and Python, collaborating with teams to deliver technology solutions for the Credit Risk Business, while resolving complex issues and supporting production environments.

The role involves leading application systems analysis and programming in the Wholesale Credit Risk Technology team. Responsibilities include building enterprise applications using Python and FastAPI, collaborating with teams, resolving complex issues, and supporting production.

The Python Data Engineer leads application systems analysis, partners with management for integration, resolves complex problems, and provides coaching to developers.