Senior Full Stack Developer

Role Overview: You have the opportunity to join the Market Intelligence Data Science Team at S&P Global, a dynamic group dedicated to developing cutting-edge data science and generative AI solutions. As part of the team, you will work collaboratively to push the boundaries of technology and deliver impactful solutions. The team values inclusivity, continuous learning, and knowledge sharing to enhance collective expertise. Key Responsibilities: - Develop and productionize cloud-based services and full-stack applications using natural language processing solutions, including generative AI models. - Implement and manage continuous integration and continuous delivery (CI/CD) pipelines for efficient and reliable software delivery. - Automate cloud infrastructure management. - Write unit tests, integration tests, and performance tests. - Work in a team environment following Agile practices. - Support the administration of data science experimentation environments. - Monitor and optimize application performance and infrastructure costs. - Collaborate with data scientists and developers to integrate and deploy data science models into production environments. - Educate others to improve coding standards, code quality, test coverage, and documentation. - Work closely with cross-functional teams to ensure seamless integration and operation of services. Qualifications Required: Basic Required Qualifications: - 5-8 years of experience in software engineering. - Proficiency in programming languages for full-stack development. - Experience in writing and maintaining high-quality code with unit testing and code reviews. - Strong understanding of object-oriented design and programming concepts. - Strong experience with cloud services and their management. - Knowledge of containerization and orchestration technologies. - Experience with monitoring, logging, and tracing solutions. - Knowledge of message queues and event-driven architectures. - Experience with CI/CD pipelines and version control systems. Additional Preferred Qualifications: - Experience writing front-end web applications using modern JavaScript frameworks. - Familiarity with infrastructure as code practices. - Experience with other cloud service providers. - Proficiency in additional programming languages. - Experience with relational and non-relational databases. - Knowledge of machine learning concepts. - Experience working with large language models. Role Overview: You have the opportunity to join the Market Intelligence Data Science Team at S&P Global, a dynamic group dedicated to developing cutting-edge data science and generative AI solutions. As part of the team, you will work collaboratively to push the boundaries of technology and deliver impactful solutions. The team values inclusivity, continuous learning, and knowledge sharing to enhance collective expertise. Key Responsibilities: - Develop and productionize cloud-based services and full-stack applications using natural language processing solutions, including generative AI models. - Implement and manage continuous integration and continuous delivery (CI/CD) pipelines for efficient and reliable software delivery. - Automate cloud infrastructure management. - Write unit tests, integration tests, and performance tests. - Work in a team environment following Agile practices. - Support the administration of data science experimentation environments. - Monitor and optimize application performance and infrastructure costs. - Collaborate with data scientists and developers to integrate and deploy data science models into production environments. - Educate others to improve coding standards, code quality, test coverage, and documentation. - Work closely with cross-functional teams to ensure seamless integration and operation of services. Qualifications Required: Basic Required Qualifications: - 5-8 years of experience in software engineering. - Proficiency in programming languages for full-stack development. - Experience in writing and maintaining high-quality code with unit testing and code reviews. - Strong understanding of object-oriented design and programming concepts. - Strong experience with cloud services and their management. - Knowledge of containerization and orchestration technologies. - Experience with monitoring, logging, and tracing solutions. - Knowledge of message queues and event-driven architectures. - Experience with CI/CD pipelines and version control systems. Additional Preferred Qualifications: - Experience writing front-end web applications using modern JavaScript frameworks. - Familiarity with infrastructure as code practices. - Experience with other cloud service providers. - Proficiency in additional programming languages. - Experience with relational and non-relational databases. - Knowledge of machine learning concepts. - Experience working with large language models.