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Full Stack Developer role in Citi's Chief Technology Office (CTO) Technology Strategy practice, responsible for developing and maintaining Citi's Technology Strategy. The role involves hands-on development as part of a global engineering team based in US, UK and India, participating in applications systems analysis and programming activities.
Job Responsibility:
Design, code, and optimize robust ETL data pipelines using technologies such as Python, PySpark, Apache Spark, Kafka, SQL to prepare large datasets for analysis
Participate in design, development, and deployment of full-stack applications utilizing Spring Boot and React frameworks
Implement scalable, resilient microservices deployed in Docker containers, orchestrated within an OpenShift environment
Work alongside senior developers to explore, fine-tune, and integrate pre-trained Generative AI models
Troubleshoot and resolve complex data-related issue and performance bottlenecks
Actively participate in agile ceremonies, including sprint planning, daily stand-ups, and sprint retrospectives
Requirements:
Bachelor's degree in computer science, Software Engineering, or a related field
8-10 years of professional experience in software development
Solid understanding of fundamental database concepts and practical experience with relational databases (e.g., MSSQL, Oracle) and/or NoSQL platforms (MongoDB)
Proficiency in Python, with experience in data manipulation and processing using frameworks like Apache Spark, PySpark
Hands-on experience with back-end technologies, such as Spring, Spring Boot, and Java 11+
Hands-on experience with front-end technologies, preferably React
Experience with Docker, Kubernetes, and container orchestration platforms
Comprehensive understanding of unit testing methodologies, test coverage principles, and experience in writing effective unit tests
Familiarity with foundational Generative AI model architectures (e.g., Transformers, GANs) and practical experience with deep learning libraries such as TensorFlow or PyTorch
Nice to have:
Familiarity with foundational Generative AI model architectures (e.g., Transformers, GANs) and practical experience with deep learning libraries such as TensorFlow or PyTorch
Hands-on experience with front-end technologies, preferably React
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