Senior Full Stack Developer (Python,JavaScript,AWS,Cloud Services)

Grade Level (for internal use):

The Team:

S&P Global is a global market leader in providing information, analytics, and solutions for industries and markets that drive economies worldwide. The Market Intelligence (MI) division is the largest within the company.

This is an opportunity to join the MI Data and Researchs Data Science Team, which is dedicated to developing cutting-edge data science and generative AI solutions. We are a dynamic group that thrives on innovation and collaboration, working together to push the boundaries of technology and deliver impactful solutions. Our team values inclusivity, continuous learning, and the sharing of knowledge to enhance our collective expertise.

Responsibilities and Impact:

• Develop and productionize cloud-based services and full-stack applications utilizing natural language processing (NLP) solutions, including generative AI models.
• Implement and manage continuous integration and continuous delivery (CI/CD) pipelines to ensure efficient and reliable software delivery.
• Automate cloud infrastructure management.
• Write unit tests, integration tests, and performance tests.
• Work in a team environment using agile practices.
• Support the administration of data science experimentation environments, including machine learning platforms and GPU servers.
• Monitor and optimize application performance and infrastructure costs.
• Collaborate with data scientists and other 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.

What Were Looking For:

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, utilizing techniques such as unit testing and code reviews.
• Strong understanding of object-oriented design and programming concepts.
• Strong experience with cloud services, including container orchestration and serverless computing.
• Knowledge of containerization and orchestration technologies.
• Experience with monitoring, logging, and tracing tools.
• 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 (IaC) 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.